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妊娠前已有糖尿病的妇女在孕期的血糖监测技术

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Referencias

References to studies included in this review

Dalfrà 2009 {published data only}

Dalfrà MG, Nicolucci A, Lapolla A, TISG. The effect of telemedicine on outcome and quality of life in pregnant women with diabetes. Journal of Telemedicine & Telecare 2009;15(5):238‐42. CENTRAL

di Biase 1997 {published data only}

Fallucca F, DiBiase N, Sabbatini A, Borrello E, Sciullo E, Napoli A. Telemedicine in the treatment of diabetic pregnancy. Practical Diabetes International. 1996;13(4):115‐8. CENTRAL
di Biase N, Napoli A, Sabbatini A, Borrello E, Buongiorno AM, Fallucca F. Telemedicine in the treatment of diabetic pregnancy. Annali dell Istituto Superiore di Sanita 1997;33(3):347‐51. CENTRAL

Feig 2017 {published data only}

Farrell A, Mergler S, Mason D, Sanchez J, Feig DS, Asztalos E. The use of logs and forms for the tracking of RT‐CGM devices in the CONCEPTT Trial. Clinical Trials 2013;10:S80. CENTRAL
Feig DS, Asztalos E, Corcoy R, De Leiva A, Donovan L, Hod M, et al. CONCEPTT: Continuous Glucose Monitoring in Women with Type 1 Diabetes in Pregnancy Trial: A multi‐center, multi‐national, randomized controlled trial ‐ Study protocol. BMC Pregnancy and Childbirth 2016;16(1):167. [PUBMED: 27430714]CENTRAL
Feig DS, Donovan LE, Corcoy R, Murphy KE, Amiel SA, Hunt KF, et al. Continuous glucose monitoring in pregnant women with type 1 diabetes (conceptt): a multicentre international randomised controlled trial. Lancet 2017;390(10110):2347‐59. CENTRAL
NCT01788527. Continuous glucose monitoring in women with type 1 diabetes in pregnancy trial (CONCEPTT). clinicaltrials.gov/show/NCT01788527 Date first received: 19 December 2012. CENTRAL

Hanson 1984 {published data only}

Hanson U, Persson B, Enochsson E, Lennerhagen P, Lindgren F, Lundstrom V, et al. Self‐monitoring of blood glucose by diabetic women during the third trimester of pregnancy. American Journal of Obstetrics and Gynecology 1984;150:817‐21. CENTRAL

Manderson 2003 {published data only}

Manderson J, Ennis C, Patterson C, Hadden D, Traub A. Pre‐eclampsia in type 1 diabetic pregnancy: preprandial versus postprandial capillary blood glucose monitoring. Hypertension in Pregnancy 2002;21(Suppl 1):142. CENTRAL
Manderson JG, Patterson CC, Hadden DR, Traub AI, Ennis C, McCance DR. Preprandial versus postprandial blood glucose monitoring in type 1 diabetic pregnancy: a randomized controlled clinical trial. American Journal of Obstetrics and Gynecology 2003;189:507‐12. CENTRAL

Murphy 2008 {published data only}

ISRCTN84461581. A randomised controlled trial to evaluate the role of the continuous glucose monitoring system (CGMS) in pregnancies complicated by pre‐existing diabetes. isrctn.com/ISRCTN84461581 Date first received: 30 September 2005. CENTRAL
Murphy HR, Rayman G, Duffield K, Lewis KS, Kelly S, Johal B, et al. Changes in the glycemic profiles of women with type 1 and type 2 diabetes during pregnancy. Diabetes Care 2007;30(11):2785‐91. CENTRAL
Murphy HR, Rayman G, Lewis K, Kelly S, Johal B, Duffield K, et al. Effectiveness of continuous glucose monitoring in pregnant women with diabetes: randomised clinical trial. BMJ 2008;337:a1680. CENTRAL

Petrovski 2011 {published data only}

Petrovski G, Dimitrovski C, Bogoev M, Milenkovic T, Ahmeti I, Bitovska I. Is there a difference in pregnancy and glycemic outcome in patients with type 1 diabetes on insulin pump with constant or intermittent glucose monitoring? A pilot study. Diabetes Technology and Therapeutics 2011;13(11):1109‐13. CENTRAL

Secher 2013 {published data only}

Cordua S, Secher AL, Ringholm L, Damm P, Mathiesen ER. Real‐time continuous glucose monitoring during labour and delivery in women with type 1 diabetes ‐ observations from a randomized controlled trial. Diabetic Medicine 2013;30(11):1374‐81. CENTRAL
NCT00994357. The effect of real‐time continuous glucose monitoring on severe complications to pregnancy in women with diabetes: a randomised controlled study. clinicaltrials.gov/show/NCT00994357 Date first received: 13 October 2009. CENTRAL
Secher AL, Mathiesen ER, Andersen HU, Peter D, Lene R. Severe hypoglycemia in pregnant women with type 2 diabetes‐ a relevant clinical problem. Diabetes Research and Clinical Practice 2013;102(2):e17‐8. CENTRAL
Secher AL, Ringholm L, Andersen HU, Damm P, Mathiesen ER. The effect of real‐time continuous glucose monitoring in diabetic pregnancy ‐ a randomised controlled trial. Diabetologia 2012;55(Suppl 1):S40. CENTRAL
Secher AL, Ringholm L, Andersen HU, Damm P, Mathiesen ER. The effect of real‐time continuous glucose monitoring in pregnant women with diabetes: a randomized controlled trial. Diabetes Care 2013;36:1877‐83. CENTRAL

Stubbs 1980 {published data only}

Stubbs SM, Alberti KG, Brudenell JM, Pyke DA, Watkins PJ, Stubbs WA. Management of the pregnant diabetic: home or hospital, with or without glucose meters. Lancet 1980;1:1122‐4. CENTRAL

Varner 1983 {published data only}

Varner MW. Efficacy of home glucose monitoring in diabetic pregnancy. American Journal of Medicine 1983;75:592‐6. CENTRAL

Voormolen 2018 {published data only}

Evers I. Effectiveness of continuous glucose monitoring during diabetic pregnancy (GlucoMOMS trial); a randomised controlled trial. Diabetes Technology and Therapeutics 2016;18:A13‐A14. CENTRAL
Voormolen DN, DeVries JH, Franx A, Mol BW, Evers IM. Effectiveness of continuous glucose monitoring during diabetic pregnancy (GlucoMOMS trial); a randomised controlled trial. BMC Pregnancy and Childbirth 2012;12:164. CENTRAL
Voormolen DN, DeVries JH, Sanson RM, Heringa MP, de Valk HW, Kok M, et al. Continuous glucose monitoring during diabetic pregnancy (GlucoMOMS): a multicentre randomized controlled trial. Diabetes, Obesity & Metabolism 2018;20(8):1894‐902. CENTRAL
Voormolen DN, Heringa MP, Naaktgeboren CA, Franx A, DeVries JH, Kok M, et al. Efficacy of continuous glucose monitoring in diabetic pregnancy, the glucomoms trial. American Journal of Obstetrics and Gynecology 2017;216(1):S288, Abstract no: 488. CENTRAL

Wojcicki 2001 {published data only}

Ladyzynski P, Wojcicki JM. Home telecare during intensive insulin treatment‐‐metabolic control does not improve as much as expected. Journal of Telemedicine and Telecare 2007;13(1):44‐7. CENTRAL
Wojcicki JM, Ladyzynski P, Krzymien J, Jozwicka E, Blachowicz J, Janczewska E, et al. What we can really expect from telemedicine in intensive diabetes treatment: results from 3‐year study on type 1 pregnant diabetic women. Diabetes Technology & Therapeutics 2001;3(4):581‐9. CENTRAL

References to studies excluded from this review

Bartholomew 2011 {published data only}

Bartholomew LM, Soules K, Church K, Shaha S, Burlingame J, Graham G, et al. Managing diabetes in pregnancy using cell phone/internet technology. Clinical Diabetes 2015;33(4):169‐74. CENTRAL
Bartholomew ML, Church K, Graham G, Burlingame J, Zalud I, Sauvage L, et al. Managing diabetes in pregnancy using cell phone/internet technology. American Journal of Obstetrics and Gynecology 2011;204(1 Suppl):S113‐S114. CENTRAL
NCT01907516. Managing diabetes in pregnancy using cell phone/internet technology. clinicaltrials.gov/show/NCT01907516 Date first received: 22 July 2013. CENTRAL

NCT01630759 {published data only}

NCT01630759. Remote monitoring of diabetes in pregnancy: a feasibility study for a randomised controlled trial. clinicaltrials.gov/show/NCT01630759 Date first received: 22 June 2012. CENTRAL

Temple 2006 {published data only}

Temple RC, Duffield K, Lewis K, Murphy HR. Glycaemic control during pregnancy in women with long duration type 1 diabetes: lessons learn using continuous glucose monitoring systems. Diabetologia 2006;49(Suppl 1):S78. CENTRAL

Walker 1999 {published data only}

Walker JD. Blood glucose monitoring strategies in diabetic: an audit of achievement of glycaemic goals and outcome of pregnancy. National Research Register (www.nrr.nhs.uk)1999. CENTRAL

Link 2018 {published data only}

Link H, NCT03504592. Utilizing mHealth to improve diabetes in an obstetric population. https://clinicaltrials.gov/ct2/show/NCT03504592 (first received 20 April 2018). CENTRAL

Logan 2011 {published data only}

Logan AG, NCT01474525. Managing diabetes during pregnancy in the wireless age: a RCT of glucose telemonitoring. https://clinicaltrials.gov/ct2/show/NCT01474525 (first received 18 November 2011). CENTRAL

ACOG 2005

ACOG Committee on Practice Bulletins, authors. Pregestational diabetes mellitus: ACOG Clinical Management Guidelines for Obstetrician‐Gynecologists #60. Obstetrics & Gynecology 2005;105:675‐85.

ADA 2004

ADA. Preconception care of women with diabetes (Position Statement). Diabetes Care 2004;27:S76‐S78.

ADA 2011

American Diabetes Association. Standards of Medical Care in Diabetes—2011. Diabetes Care 2011;34(Suppl 1):S11‐S61.

Choleau 2002

Choleau C, Klein JC, Reach G, Aussedat B, Demaria‐Pesce V, Wilson GS, et al. Calibration of a subcutaneous amperometric glucose sensor. Part 1. Effect of measurement uncertainties on the determination of sensor sensitivity and background current. Biosensors and Bioelectronics 2002;17(8):641–6.

Davidson 2005

Davidson J. Strategies for improving glycemic control: effective use of glucose monitoring. American Journal of Medicine 2005;118(9 Suppl 1):27–32.

DCCT 1993

The Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long‐term complications in insulin‐dependent diabetes mellitus. New England Journal of Medicine 1993;329(14):977‐86.

de Veciana 1995

de Veciana M, Major CA, Morgan MA, Asrat T, Toohey JS, Lien JM, et al. Postprandial versus preprandial blood glucose monitoring in women with gestational diabetes mellitus requiring insulin therapy. New England Journal of Medicine 1995;333(19):1239‐41.

Fetita 2006

Fetita LS, Sobngwi E, Serradas P, Calvo F, Gautier JF. Consequences of fetal exposure to maternal diabetes in offspring. Journal of Clinical Endocrinology and Metabolism 2006;91:3714‐24.

Fuhrmann 1983

Fuhrmann K, Reiher H, Semmler K, Fischer F, Fischer M, Glöckner E. Prevention of congenital malformations in infants of insulin‐dependent diabetic mothers. Diabetes Care 1983;6(3):219‐23.

Gabbe 2003

Gabbe SG, Graves CR. Management of diabetes mellitus complicating pregnancy. Obstetrics and Gynecology 2003;102:857‐68.

Ghandi 2011

Ghandi GY, Kovalaske M, Kudva Y, Walsh K, Elamin MB, Beers M, et al. Efficacy of continuous glucose monitoring in improving glycaemic control and reducing hypoglycemia: a systematic review and meta analysis of randomized trials. Journal of Diabetes Science and Technology 2011;5(4):952–65.

Gonzalez‐Gonzalez 2008

Gonzalez‐Gonzalez NL, Ramirez O, Mozas J, Melchor J, Armas H, Garcia‐Hernandez JA, et al. Factors influencing pregnancy outcome in women with type 2 versus type 1 diabetes mellitus. Acta Obstetricia et Gynecologica Scandinavica 2008;87:43‐9.

Greene 1989

Greene MF, Hare JW, Cloherty JP, Benacerraf BR, Soeldner JS. First‐trimester hemoglobin A1 and risk for major malformation and spontaneous abortion in diabetic pregnancy. Teratology 1989;39(3):225‐31.

HAPO 2002

HAPO Study Cooperative Research Group. The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. International Journal of Gynecology and Obstetrics 2002;78:69‐77.

Higgins 2011

Higgins JP, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Howorka 2001

Howorka K, Pumprla J, Gabriel M, Feiks A, Schlusche C, Nowotny C, et al. Normalization of pregnancy outcome in pregestational diabetes through functional insulin treatment and modular out‐patient education adapted for pregnancy. Diabetic Medicine 2001;18(12):965‐72.

Huo 2018

Huo T, Guo Y, Shenkman E, Muller K. Assessing the reliability of the short form 12 (SF‐12) health survey in adults with mental health conditions: a report from the wellness incentive and navigation (WIN) study. Health and Quality of Life Outcomes 2018;16(34):1‐9. [DOI: https://doi.org/10.1186/s12955‐018‐0858‐2]

IDF 2010

IDF. The Diabetes Atlas. Brussels: International Diabetes Federation, 2010.

Jensen 2009

Jensen DM, Korsholm L, Ovesen P, Beck‐Nielsen H, Moelsted‐Pedersen L, Westergaard JG, et al. Periconceptional A1C and risk of serious adverse pregnancy outcome in 933 women with type 1 diabetes. Diabetes Care 2009;32:1046‐8.

Jovanovic 2006

Jovanovic L, Nakai Y. Successful pregnancy in women with type 1 diabetes: from preconception through postpartum care. Endocrinology and Metabolism Clinics of North America 2006;35:79‐97, vi.

Jovanovič 2009

Jovanovič L. Medical Management of Pregnancy Complicated by Diabetes. 4th Edition. Alexandria, VA: American Diabetes Association, 2009.

Kapoor 2007

Kapoor N, Sankaran S, Hyer S, Shehata H. Diabetes in pregnancy: a review of current evidence. Current Opinion in Obstetrics and Gynecology 2007;19:586‐90.

Karter 2001

Karter AJ, Ackerson LM, Darbinian JA, D'Agostino RB, Ferrara A, Liu J, et al. Self‐monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry. American Journal of Medicine 2001;111(1):1‐9.

Kerssen 2006

Kerssen A, De Valk HW, Visser GH. Do HbA1c levels and the self‐monitoring of blood glucose levels adequately reflect glycaemic control during pregnancy in women with type 1 diabetes mellitus?. Diabetologia 2006;49(1):25‐8.

Kerssen 2007

Kerssen A, De Valk HW, Visser GH. Increased second trimester maternal glucose levels are related to extremely large‐for‐gestational‐age infants in women with type 1 diabetes. Diabetes Care 2007;30:1069‐74.

Kitzmiller 1996

Kitzmiller JL, Buchanan TA, Kjos S, Combs CA, Ratner RE. Pre‐conception care of diabetes, congenital malformations and spontaneous abortions (ADATechnical Review). Diabetes Care 1996;19:514–41.

Kitzmiller 2008

Kitzmiller JL, Block JM, Brown FM, Catalano PM, Conway DL, Coustan DR, et al. Managing preexisting diabetes for pregnancy: summary of evidence and consensus recommendations for care. Diabetes Care 2008;31:1060‐79.

Kitzmiller 2010

Kitzmiller JL, Wallerstein R, Correa A, Kwan S. Preconception care for women with diabetes and prevention of major congenital malformations. Birth Defects Research. Part A, Clinical and Molecular Teratology 2010;88(10):791‐803.

Lamb 2017

Lam AY, Xin X, Tan WB, Gardner DS, Goh SY. Psychometric validation of the Hypoglycemia Fear Survey‐II (HFS‐II) in Singapore. BMJ Open Diabetes Research and Care 2017;5:e000329. [DOI: 10.1136/bmjdrc‐2016‐000329]

Langendam 2012

Langendam M, Luijf YM, Hooft L, DeVries JH, Mudde AH, Scholten RJ. Continuous glucose monitoring systems for type 1 diabetes mellitus. Cochrane Database of Systematic Reviews 2012, Issue 1. [DOI: 10.1002/14651858.CD008101.pub2; CD008101]

Malanda 2012

Malanda UL, Welschen LM, Riphagen II, Dekker JM, Nijpels G, Bot SD. Self‐monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. Cochrane Database of Systematic Reviews 2012, Issue 1. [DOI: 10.1002/14651858.CD005060.pub3; CD005060]

McElduff 2005

McElduff A, Cheung NW, McIntyre HD, Lagstrom JA, Oats JJ, Ross GP, et al. The Australasian Diabetes in Pregnancy Society consensus guidelines for the management of type 1 and type 2 diabetes in relation to pregnancy (Position Statement). Medical Journal of Australia 2005;183:373‐7.

Mello 2000

Mello G, Parretti E, Mecacci F, LaTorre P, Cioni R, Cianciulli D, et al. What degree of maternal metabolic control in women with type 1 diabetes is associated with normal body size and proportions in full‐term infants?. Diabetes Care 2000;23:1494‐8.

Middleton 2016

Middleton P, Crowther CA, Simmonds L. Different intensities of glycaemic control for pregnant women with pre‐existing diabetes. Cochrane Database of Systematic Reviews 2016, Issue 5. [DOI: 10.1002/14651858.CD008540.pub4]

Mills 1988

Mills JL, Simpson JL, Driscoll SG, Jovanovic‐Peterson L, Van Allen M, Aarons JH, et al. Incidence of spontaneous abortion among normal women and insulin‐dependent diabetic women whose pregnancies were identified within 21 days of conception. New England Journal of Medicine 1988;319(25):1617‐23.

Moore 2010

Moore TR. Fetal exposure to gestational diabetes contributes to subsequent adult metabolic syndrome. American Journal of Obstetrics and Gynecology 2010;202:643‐9.

Moses 1999

Moses RG,   Lucas EM,   Knights S. Gestational diabetes mellitus. At what time should the postprandial glucose level be monitored?. Australian and New Zealand Journal Of Obstetrics and Gynaecology 1999;39(4):457‐60.

Murphy 2007

Murphy HR, Rayman G, Duffield K, Lewis KS, Kelly S, Johal B, et al. Changes in the glycemic profiles of women with type 1 and type 2 diabetes during pregnancy. Diabetes Care 2007;30(11):2785‐91.

NICE 2008

NICE. Diabetes in Pregnancy. Clinical Guideline 63. RCOG Press, 2008.

NICE 2015

National Institute for Health and Care Excellence. Diabetes in pregnancy: management from preconception to the postnatal period [NG3]. Available at: https://www.nice.org.uk/guidance/ng3 [Accessed 19 March 2019]2015.

Peyrot 2009

Peyrot M, Rubin RR. Patient‐reported outcomes for an integrated real‐time continuous glucose monitoring/insulin pump system mark. Diabetes Technology and Therapeutics 2009;11(1):57‐62.

Pickup 2011

Pickup JC, Freeman SC, Sutton AJ. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta‐analysis of randomised controlled trials using individual patient data. BMJ 2011;343:d3805.

Raman 2017

Raman P, Shepherd E, Dowswell T, Middleton P, Crowther CA. Different methods and settings for glucose monitoring for gestational diabetes during pregnancy. Cochrane Database of Systematic Reviews 2017, Issue 10. [DOI: 10.1002/14651858.CD011069.pub2]

Ray 2001

Ray JG, O’Brien TE, Chan WS. Preconception care and the risk of congenital anomalies in the offspring of women with diabetes mellitus: a meta‐analysis. Quarterly Journal of Medicine 2001;94:435‐44.

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Roland 2005

Roland JM, Murphy HR, Ball V, Northcote‐Wright J, Temple RC. The pregnancies of women with type 2 diabetes: poor outcomes but opportunities for improvement. Diabetic Medicine 2005;22:1774‐7.

Rosenn 1991

Rosenn B, Miodovnik M, Combs CA, Khoury J, Siddiqi TA. Pre‐conception management of insulin‐dependent diabetes: improvement of pregnancy outcome. Obstetrics & Gynecology 1991;77(6):846‐9.

Sibai 2000

Sibai BM, Caritis SN, Hauth JC, MacPherson C, Van Dorsten JP, Klebanoff M, et al. Preterm delivery in women with pregestational diabetes mellitus or chronic hypertension relative to women with uncomplicated pregnancies. The National institute of Child health and Human Development Maternal‐ Fetal Medicine Units Network. American Journal of Obstetrics and Gynecology 2000;183(6):1520‐4.

Slocum 2004

Slocum J, Barcio L, Darany J, Friedley K, Homko C, Mills JJ, et al. Preconception to postpartum: management of pregnancy complicated by diabetes. Diabetes Educator 2004;30(5):740, 742‐4, 747‐53.

Suhonen 2000

Suhonen L, Hiilesmaa V, Teramo K. Glycaemic control during early pregnancy and fetal malformations in women with type I diabetes mellitus. Diabetologia 2000;43:79‐82.

Thomas 2006

Thomas AM. Pregnancy with preexisting diabetes. In: Mensing C, Cypress M, Halstensen C, McLaughlin S, Walker EA editor(s). Art and Science of Diabetes Self‐Management Education. A Desk Reference for Healthcare Professionals. Chicago: American Association of Diabetic Educators, 2006:233‐57.

Venkataraman 2015

Venkataraman K, Tan LS, Bautista DC, Griva K, Zuniga YL, Amir M, et al. Psychometric Properties of the Problem Areas in Diabetes (PAID) Instrument in Singapore. PLOS One 2015;10(9):e0136759.

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References to other published versions of this review

Moy 2012

Moy FM, Ray A, Buckley BS. Techniques of monitoring blood glucose during pregnancy for women with pre‐existing diabetes. Cochrane Database of Systematic Reviews 2012, Issue 2. [DOI: 10.1002/14651858.CD009613]

Moy 2014

Moy FM, Ray A, Buckley BS. Techniques of monitoring blood glucose during pregnancy for women with pre‐existing diabetes. Cochrane Database of Systematic Reviews 2014, Issue 4. [DOI: 10.1002/14651858.CD009613.pub2]

Moy 2017

Moy FM, Ray A, Buckley BS, West HM. Techniques of monitoring blood glucose during pregnancy for women with pre‐existing diabetes. Cochrane Database of Systematic Reviews 2017, Issue 6. [DOI: 10.1002/14651858.CD009613.pub3]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Dalfrà 2009

Methods

Quasi‐randomised trial.

Women were sequentially assigned to telemedicine and control groups (not randomised).

Period of study: not reported.

Participants

88 women with gestational diabetes in the telemedicine group and 115 in the control group;
17 women with type 1 diabetes in the telemedicine group and 15 in the control group.

Inclusion criteria: pregnant women with type 1 diabetes (enrolled in the study at their first visit after conception. Women with gestational diabetes included after a week from the diagnosis of gestational diabetes.

Exclusion criteria: not described.

Interventions

Intervention: automated telemedicine monitoring.

Control: conventional system.

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Neonatal morbidity composite (presence of macrosomia (4000 g) and complications).

  3. Gestational age at birth.

  4. Use of additional insulin therapy.

  5. Glycaemic control (maternal).

  6. Weight gain.

  7. Macrosomia.

  8. Birthweight.

Notes

Setting: 12 diabetes clinics.

Country: Italy.

Funding: not mentioned.

Declarations of interest: not reported.

Comments: data for women with gestational diabetes and type 1 diabetes are presented separately.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Quote: “Women were sequentially assigned to two groups: one patient was followed up using the telemedicine approach and the next using the conventional approach (usual care).”

Allocation concealment (selection bias)

High risk

No attempt was made to conceal allocation.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

No attempt was made to blind women or personnel. Women were aware of whether they were being monitored using telemedicine or usual care. However, the outcomes were measured objectively and would not have been influenced by blinding or not blinding.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

No blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

High risk

4/36 women with type 1 diabetes and 37/240 women with gestational diabetes were excluded because they did not complete questionnaires at the end of the study. It is unclear whether these were women with type 1 diabetes or gestational diabetes.

Selective reporting (reporting bias)

Unclear risk

This study was assessed from a published report, without the study protocol. The main outcomes were reported separately for type 1 diabetes and GDM, however some outcomes were not reported separately or were only reported in the text.

Other bias

High risk

The study did not use an intention‐to‐treat analysis. There is no sample size calculation, or information on whether groups were comparable at baseline. Women with type 1 diabetes only make up a small part of the whole study (32 out of 235 women).

di Biase 1997

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: not mentioned.

Participants

Number randomised: 20.

Eligible were type 1 diabetes mellitus (IDDM) pregnant patients attending the Diabetes Unit specialising in the treatment of diabetes in pregnancy during the period of study.

Inclusion criteria: type 1 DM pregnant patients.

Exclusion criteria: not mentioned in the text.

Interventions

Intervention: DIANET system ‐ continuous automated monitoring system using a telemedicine system ‐ patient unit, diabetes workstation and the communication link (n = 10).

Control: conventional monitoring ‐ performed 3 or more tests of blood glucose per day using BM20‐800 strips (n = 10).

Outcomes

Outcomes used in this review

  1. Gestational age at birth.

  2. Insulin requirement at end of study.

  3. Glycaemic control (maternal).

Notes

Setting: Diabetes Unit specialising in the treatment of diabetes in pregnancy.

Country: Italy.

Funding: not mentioned.

Declarations of interest: not reported.

Comments

  1. No sample size estimation reported.

  2. No type 2 DM pregnant patients included.

  3. Patients enrolled at 9.5 + 10 weeks, study ended at 37.6 + 0.4 weeks.

  4. Hypoglycaemic episodes were graded in categories of 1 (mild) to 4 (severe).

  5. Trial not registered ??

  6. Therapeutic adjustment by the Diabetes Unit was performed every week by a visit to the control group.

  7. The experimental group had their data stored in DIANET system transmitted to the team weekly. This allowed feedback to both patients and clinicians.

  8. Clinic visit for experimental group is once every 15‐30 days as they stayed at a longer distance from the clinics than the control group.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Quote from report ‐ "Patients were consecutively chosen by 1 of the investigators. Stratified block randomisation was used to divide patients into 2 groups at baseline." The patients were randomly assigned to a control or DIANET group.

Comment: methods of sequence allocation not stated.

Allocation concealment (selection bias)

Unclear risk

Comment: not mentioned.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: reported results of all participants (n = 20).

Selective reporting (reporting bias)

Low risk

As reported in the article all outcomes listed have been mentioned.

Other bias

Low risk

No obvious risk to other bias.

Feig 2017

Methods

Multi‐centre, parallel randomised controlled trial – open‐label.

They ran 2 trials in parallel for pregnant participants and for participants planning a pregnancy.

Period of study: 25 March 2013 ‐ 22 March 2016.

We report the results for pregnant participants.

Participants

Number randomised: 325 (215 pregnant, 110 planning pregnancy).

Inclusion criteria: women aged 18‐40 years, with type 1 diabetes for a minimum of 12 months, receiving intensive insulin therapy via multiple daily injections or an insulin pump, who were pregnant or planning pregnancy.

Exclusion criteria: regular CGM users and women with severe nephropathy or medical conditions such as psychiatric illness requiring hospitalisation. Women using automatic insulin delivery options, such as low glucose suspend pumps, were not excluded.

Interventions

Intervention: real‐time CGM in addition to capillary glucose monitoring. CGM system was aGuardian REAL‐Time or MiniMed Minilink system, both Medtronic, Northridge CA. Participants were trained to use the study devices and instructed to use them daily by local diabetes or antenatal clinic teams. CGM users were advised to verify the accuracy of CGM measurements using their capillary glucose meter before insulin dose adjustment, as per the regulatory labelling instructions (n = 108).

Control: standard ‐ capillary glucose monitoring alone (home glucose monitoring). Participants in the control group continued their usual method of capillary glucose monitoring. Participants in both groups were advised to test capillary blood glucose levels at least 7 times daily (before and 1‐2 hours after meals and before bed) and given written instructions for how to use capillary or CGM measures for insulin dose adjustment, customised for methods of insulin delivery. Both groups had the same target glucose range of 3.5 to 7.8 mmol/L and same target HbA1c levels of no higher than 6.5% (48 mmol/mol) during pregnancy (n = 107).

Outcomes

Outcomes used in this review

  1. Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia).

  2. Caesarean section.

  3. Large‐for‐gestational age.

  4. Mortality or morbidity composite (in the report this is defined as: pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high‐level neonatal care for more than 24 hours).

  5. Weight gain during pregnancy (reported as median and IQR).

  6. Behaviour changes associated with the intervention.

  7. Sense of well‐being and quality of life (Questionnaires relating to fear of hypoglycaemia, coping with diabetes, quality of life, and satisfaction with monitoring device).

  8. Glycaemic control during/end of treatment (as defined by trialists) (e.g. HbA1c, fructosamine, fasting blood glucose, post‐prandial blood glucose) ‐ HbA1c, total insulin dose.

  9. Maternal hypoglycaemia (severe).

  10. Miscarriage.

  11. Postnatal weight retention or return to pre‐pregnancy weight – maternal weight gain (from entry to 34 weeks).

  12. Cardiovascular health (as defined by trialists, including blood pressure, hypertension, cardiovascular disease, metabolic syndrome) ‐ hypertension.

  13. Stillbirth.

  14. Gestational age at birth – median (IQR).

  15. Preterm birth (less than 37 weeks' gestation and less than 34 weeks' gestation).

  16. Macrosomia (≥ 4000 g).

  17. Small‐for‐gestational age (< 10th centile).

  18. Birthweight and z‐score (birthweight g) mean (SD).

  19. Head circumference (cm) mean (SD) and z‐score.

  20. Length and z‐score (crown‐heel length (cm).

  21. Adiposity (e.g. BMI, skinfold thickness) Sum of 4 skin folds (triceps, subscapular, biceps, flank).

  22. Shoulder dystocia.

  23. Respiratory distress syndrome.

  24. Hypoglycaemia (variously defined).

  25. Hyperbilirubinaemia.

  26. Relevant biomarker changes associated with the intervention (e.g. cord c peptide, cord insulin) – Cord blood C‐peptide levels > 566 pmol/L, > 2725 pmol/L.

  27. Major and minor anomalies – congenital anomaly.

  28. Number of antenatal visits or admissions – number of hospital admissions.

  29. Length of antenatal stay – maternal length of stay – days – median (IQR).

  30. Neonatal intensive care unit length of stay greater than 24 hours.

  31. Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite) – birth injury and shoulder dystocia.

  32. Diabetic ketoacidosis – DKA – page 22 in supplementary file – table 19a.

Notes

Setting: 31 hospitals in Canada, England, Scotland, Spain, Italy, Ireland and the USA.

Country: Canada.

Funding: the trial was funded by Juvenile Diabetes Research Foundation (JDRF) grants #17‐2011‐533, and grants under the JDRF Canadian Clinical Trial Network, a public‐private partnership including JDRF and FedDev Ontario and supported by JDRF #80‐2010‐585. Metronic supplied the CGM sensors and CGM systems at reduced cost. HRM conducts independent research supported by the National Institute for Health Research (Career Development Fellowship, CDF‐2013‐06‐035), and is supported by Tommy’s charity. The funders had no role in the trial design, data collection, data analysis, or data interpretation.

Declarations of interest: 8 authors report grants from the Juvenile Diabetes Research Foundation during the conduct of the study. Two authors report personal fees from Novo Nordisk, Roche and Medtronic, outside the submitted work. 1 author reports personal fees from Abbott Diabetes Care and Medtronic (MiniMed Academia), outside the submitted work. 1 author sits on the Medtronic European Scientific Advisory Board. All remaining authors declare no completing interests.

Comments

  1. A sample size calculation was reported.

  2. They ran 2 trials in parallel for pregnant participants and for participants planning a pregnancy ‐ we report only on the trial of pregnant participants.

  3. The study protocol was approved by the Health Research Authority, East of England Research Ethics Committee for all UK sites and at each individual centre for all other sites. Regional Ethical Committee.

  4. All participants provided written informed consent.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Treatments allocated by a web‐based system using a computer‐generated randomisation list with permuted block sizes and stratified by method of insulin delivery (pump or multiple injections) and baseline HbA1c (< 7.5% vs ≥ 7.5% or 58 mmol/mol for the pregnancy trial).

Allocation concealment (selection bias)

Low risk

Randomisaton schedule created by a programming manager, encrypted, and maintained in a secure database – the co‐ordinating team and investigators had no access.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Used masked sensors – for control group – so suggests blinding and also HbA1c measures done at a central laboratory and were unavailable to participants and healthcare teams during the trial.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

All HbA1c measures done at a central laboratory. Samples were shipped after delivery and collection of cord blood and were unavailable to participants and healthcare teams during the trial.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Authors report that about 20% data were missing, lost to follow‐up.

For primary outcome – change in HbA1c – 82% (89/108) and 79% (84/107) included in analysis from CGM and home monitoring groups.

Also stated that "For the primary outcome, the patterns of change were similar between analyses of imputed and available HbA1c data".

There is a study flow diagram and missing data appear balanced across groups.

Selective reporting (reporting bias)

Low risk

Cross‐checked the protocol with main published report and methods section – also checked Appendices in supplementary file – most of the outcomes appear to have been reported.

Other bias

Low risk

Groups balanced at baseline – differences noted in smoking, automated insulin delivery option, hypertension, severe hypoglycaemia in past year or during early pregnancy pre‐randomisation – but report states "any minor imbalances in baseline characteristics between CGM and control group participants were within the expected bounds for random allocation".

Hanson 1984

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: 1 October 1979 ‐ 1 October 1982.

Participants

Number randomised: 100.

Eligible were type 1 diabetes mellitus (IDDM) and type 2 diabetes mellitus (NIDDM) pregnant patients attending the from 5 hospitals in Stockholm during the period of study.

Inclusion criteria: patients with a diagnosis of diabetes, either insulin‐dependent or non‐insulin‐dependent prior to pregnancy.

Exclusion criteria: not mentioned in text.

Interventions

Intervention: patients self‐monitored their blood glucose at home from the 32nd week until the 36th week of gestation. Weekly hospital visit from 32‐36 weeks and then hospitalised during the 37th week until delivery (n = 54).

Control: patients were hospitalised from 32nd week until delivery (n = 46).

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Perinataly mortality (stillbirth and neonatal mortality).

  3. Pre‐eclampsia.

  4. Pregnancy‐induced hypertension.

  5. Placental abruption.

  6. Preterm birth < 37 weeks.

  7. Respiratory distress syndrome.

  8. Neonatal hypoglycaemia.

  9. Neonatal jaundice.

  10. HbA1c.

  11. Major anomalies.

  12. Antenatal hospital admission.

  13. Neonatal hospital stay.

  14. Feeding difficulties.

Notes

Setting: 5 hospitals in Stockholm.

Country: Sweden.

Funding: Expressens Perinatal forskningsfond, AIImanna Barnbordshusets Minnesfond, Svenska Diabetesstiftelsen, Nordisk Insulinfond, Swedish Medical Research Council (Project No. 3787), and Tielman's Fund for Pediatric Research.

Declarations of interest: not reported.

Comments

  1. No sample size estimation reported.

  2. Twins were included (2 pairs).

  3. If complications occurred, home monitoring situation was interrupted.

  4. The study was approved by the Regional Ethical Committee.

  5. Informed consent was obtained from all participants.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: not mentioned.

Allocation concealment (selection bias)

Unclear risk

Comment: not mentioned.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. Objective measurements used.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Comment: 1 excluded for severe drug addiction, 8 spontaneous abortions and 1 mother died.

Selective reporting (reporting bias)

Low risk

No obvious risk to selective reporting.

Other bias

Low risk

No obvious risk to other bias.

Manderson 2003

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: not mentioned.

Participants

Number randomised: 61

Eligible were type 1 diabetes mellitus (IDDM) pregnant patients attending or referred to the Regional Joint Metabolic/Antenatal Clinic at the Royal Maternity Hospital, Belfast during the period of study.

Inclusion criteria: type 1 DM pregnant women at 16 weeks' gestation.

Exclusion criteria: women without results due to reasons such as: stillbirth, abortions, major congenital abnormalities.

Interventions

Intervention: pre‐prandial glucose monitoring (n = 31).

Control: post‐prandial glucose monitoring (n = 30).

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Large‐for‐gestational age.

  3. Perinatal mortality (stillbirth and neonatal mortality).

  4. Pre‐eclampsia.

  5. Weight gain during pregnancy.

  6. Insulin dose.

  7. Maternal glycaemic control (HbA1c, fasting blood glucose, post‐prandial blood glucose, fructosamine).  

  8. Stillbirth.

  9. Gestational age (at birth).

  10. Preterm birth < 37 weeks.

  11. Macrosomia.

  12. Birthweight (kg).

  13. Respiratory distress syndrome.

  14. Neonatal hypoglycaemia.

  15. Neonatal jaundice.

  16. Cord IGF.

  17. Neonatal glucose at age 1 hour.

  18. Transient tachypnoea.

  19. Neonatal intensive care admissions.

Notes

Setting: Regional Joint Metabolic/Antenatal Clinic at the Royal Maternity Hospital, Belfast.

Country: UK.

Funding: Department of Health and Social Sevices, Northern lreland, the Northern Ireland Mother and Baby Appeal, the Metabolic Unit Research Fund, Royal Victoria Hospital, Belfast, the Royal Maternity Hospital, Royal Victoria Hospital, Belfast, and the Irish Perinatal Society.

Declarations of interest: not reported.

Comments

  1. No sample size estimation reported.

  2. No type 2 DM pregnant patients included.

  3. Only white women were included.

  4. Patients were reviewed fortnightly or more frequently if clinically indicated.

  5. Insulin doses were adjusted to achieve fasting glucose values between 60 mg/dL and 90 mg/dL (3.3 mmol/L and 5.0 mmol/L), pre‐prandial values between 60 mg/dL and 105 mg/dL (3.3 mmol/L and 5.9 mmol/L), and post‐prandial values less than 140 mg/dL (7.8 mmol/L).

  6. Post‐prandial glucose monitoring may significantly reduce the incidence of pre‐eclampsia and neonatal triceps skinfold thickness compared with pre‐prandial monitoring.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Quote ‐ "Women were randomly assigned at 16 weeks' gestation to 1 of 2 blood glucose monitoring protocols".

Comment: method not mentioned.

Allocation concealment (selection bias)

Low risk

Quote ‐ "allocations were via a sealed envelope system, which the patient selected from a box at the clinic visit".

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Quote ‐ "74 patients were recruited. 13 were excluded because they did not have results for analysis. This left 61 diabetic women (31 pre‐prandial and 30 post‐prandial monitoring) with results suitable for analysis".

Selective reporting (reporting bias)

Low risk

No obvious risk to selective reporting.

Other bias

Low risk

No obvious risk to other bias.

Murphy 2008

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: September 2003 to 2006.

Participants

Number randomised: 71.

Eligible were type 1 (IDDM) and type 2 (NIDDM) diabetes mellitus pregnant patients attending 2 secondary care diabetic antenatal clinics in the UK during the period of study.

Inclusion criteria

  1. Type 1 and type 2 DM pregnant women at 16 weeks' gestation.

  2. Provided written informed consent.

  3. Willing to wear a continuous glucose monitor.

Exclusion criteria

  1. Women with severe medical or psychological comorbidity.

Interventions

Intervention: continuous glucose monitor which measured glucose in subcutaneous tissues every 10 seconds and an average value is stored every 5 minutes, providing up to 288 measurements per day (n = 38). The participants were required to wear the CGMS for 7 days at intervals of 4‐6 weeks. They were also advised to measure blood glucose at least 7 times a day.

Control: intermittent self‐monitoring of glucose levels (n = 33), at least 7 times a day (standard care).

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Large‐for‐gestation age.

  3. Perinatal mortality (stillbirth and neonatal mortality).

  4. Pre‐eclampsia.

  5. Maternal glycaemic control (HbA1c).

  6. Miscarriage.

  7. Neonatal mortality.

  8. Gestational age at birth.

  9. Preterm birth at < 37 weeks.

  10. Macrosomia.

  11. Birthweight.

  12. Small‐for‐gestational age.

  13. Neonatal hypoglycaemia.

  14. Major and minor anomalies.

  15. Neonatal intensive care admissions.

Notes

Setting: secondary care diabetic antenatal clinics.

Country: UK.

Funding: this was an investigator initiated study funded by the Ipswich Diabetes Centre Charity Research Fund. HRM also received salary support from Diabetes UK. The study equipment (6 x CGMS Gold monitors and 300 sensors) was donated free of charge by Medtronic UK. The research was sponsored by Ipswich Hospital NHS Trust and was independent of all the study funders.

Declarations of interest: 2 trial authors received honorariums for speaking at research symposiums sponsored by Medtronic in 2004 and 2005.

Comments

  1. Sample size estimation was reported.

  2. Both type 1 and type 2 DM pregnant patients were included.

  3. The women were predominantly white European.

  4. The continuous glucose monitor (CGM) to be worn up to 7 days at intervals of 4 to 6 weeks between 8 and 32 weeks' gestation.

  5. In addition to the CGM, intermittent self‐monitoring of glucose levels was implemented in the intervention group.

  6. Therapeutic adjustments to diet, exercise, and insulin regimens were discussed with the obstetric diabetes team, based on the combined intermittent capillary glucose and continuous glucose data for women allocated to CGM or the intermittent capillary glucose data alone for women allocated to standard antenatal care.

  7. The women were advised to measure blood glucose levels at least 7 times a day and were provided with several targets: 3.5 mmol/L to 5.5 mmol/L before meals, < 7.8 mmol/L 1 hour after meals, and < 6.7 mmol/L 2 hours after meals.

  8. The women were seen every 2‐4 weeks for up to 28 weeks, fortnightly until 32 weeks, and weekly thereafter, with assessments of fetal growth at 28, 32, and 36 weeks.

  9. Short‐acting insulin analogues were used before meals with intermediate acting insulin, long‐acting analogues, or pump therapy. The women with type 2 diabetes were treated with insulin before pregnancy or as soon as pregnancy was confirmed.

  10. Majority (90%) of women were White European, with the rest being Asian and others.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote ‐ "The study statistician used computer generated randomised numbers in blocks of 20".

Allocation concealment (selection bias)

Low risk

Quote ‐ "Concealed in sealed envelopes. Research nurses trained in accordance with good clinical practice guidelines provided the women with their group allocation".

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: intention‐to‐treat analysis was applied.

Selective reporting (reporting bias)

Low risk

All expected outcomes appear to have been reported.

Other bias

Low risk

No obvious risk to other bias.

Petrovski 2011

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: not mentioned.

Participants

Number randomised: 25.

Eligible were type 1 diabetes mellitus (IDDM) pregnant patients attending the University Clinic of Endocrinology, Diabetes and Metabolic Disorders in Skopje during the period of study.

Inclusion criteria

  1. On continuous subcutaneous insulin infusion (CSII) for at least 3 months before conception.

  2. Singleton pregnancy.

Exclusion criteria

  1. Not mentioned.

Interventions

Intervention: constant CGM ‐ 24 hours/day (n = 12).

Control: intermittent CGM ‐ 14 days per month (n = 13), measured blood glucose at least 6 times a day every second week (when not using the CGM).

Outcomes

Outcomes used in this review

  1. Caesarean section rates.

  2. Weight gain during pregnancy.

  3. Maternal glycaemic control (HbA1c, mean blood glucose).

  4. Severe hypoglycaemia (maternal).

  5. Diabetic ketoacidosis.

  6. Preterm birth < 37 weeks.

  7. Macrosomia.

  8. Neonatal hypoglycaemia.

Notes

Setting: University Clinic of Endocrinology, Diabetes and Metabolic Disorders in Skopje.

Country: Macedonia.

Funding: Macedonion Ministry of Health and the Health Care Fund of Macedonia.

Declarations of interest: the authors declared that they had no competing financial interests.

Comments

  1. No sample size estimation reported.

  2. No type 2 DM pregnant patients included.

  3. All patients were followed for 1 to 3 weeks by a diabetologist and obstetrician.

  4. The device could alert increased or decreased glucose levels, insulin pump was automatically suspend insulin delivery if necessary.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Quote ‐ "Patients were randomised into 2 groups".

Comment: method not mentioned.

Allocation concealment (selection bias)

Unclear risk

Not mentioned.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Intention‐to‐treat analysis.

Selective reporting (reporting bias)

Low risk

All expected outcomes reported.

Other bias

Low risk

No obvious risk to other bias.

Secher 2013

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: 15 February 2009 to 15 February 2011.

Participants

Number randomised: 154.

Eligible were 123 type 1 (IDDM) and 31 type 2 (NIDDM) pregnant patients referred to the Centre for Pregnant Women with Diabetes, Rigshospitalet, before 14 completed gestational weeks.

Inclusion criteria

  1. Type 1 and type 2 DM pregnant women before 14 completed weeks of gestation.

  2. Provided written informed consent.

  3. Willing to wear a CGM.

Exclusion criteria

  1. Present use of real‐time CGM.

  2. Severe mental or psychiatric barriers.

  3. Diabetic nephropathy.

  4. Severe concurrent comorbidity (e.g. severe psoriasis, previous gastric bypass surgery).

Interventions

Intervention: real time CGM for 6 days at pregnancy visits during 8, 12, 21, 27 and 33 weeks, in addition to routine pregnancy care.

Control: routine pregnancy care with self‐monitored plasma glucose measurements of 7 times daily.

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Large‐for‐gestational age.

  3. Pre‐eclampsia.

  4. Pregnancy‐induced hypertension.

  5. Miscarriage.

  6. Preterm birth <37 weeks.

  7. Neonatal hypoglycaemia.

Notes

Setting: Centre for Pregnant women with Diabetes, Rigshospitalet.

Country: Denmark.

Funding: 1 of the authors received financial support from the European Foundation of the Study of Diabetes and LifeScan, Rigshopitalet's Research Foundation, the Capital Region of Denmark, the Medical Facuty Foundation of Copenhagen Univeristy, Aase and Ejnar Danielsen Foundation, and Master Joiner Sophus Jacobsen and his wife Astrid Jacobsens' Foundation. 1 author holds stocks in Novo Nordisk. 1 author received financial support from Novo Nordisk Foundation. The real‐time CGM monitors and links were supplied, and glucose sensors were offered at a reduced price by Medtronic.

Declarations of interest: the authors declared no other potential conflicts of interest, other than those reported under 'funding'. interests.

Comments

  1. Sample size estimation was reported.

  2. Women gave written informed consent.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote ‐ "a computer generated randomization program was used".

Allocation concealment (selection bias)

Low risk

Quote ‐ "..treatment allocation was properly concealed using automated telephone allocation service (Paravox) provided by an independent organization".

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Quote ‐ "Intention‐to‐treat analysis was carried out".

Selective reporting (reporting bias)

Low risk

All expected outcomes reported.

Other bias

Low risk

No obvious risk to other bias.

Stubbs 1980

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: not mentioned.

Participants

Number randomised: 13.

Eligible were type 1 (IDDM) diabetes mellitus pregnant patients attending King College's Hospital.

Inclusion criteria: type 1 DM pregnant women at 30‐31 weeks' gestation.

Exclusion criteria: not mentioned.

Interventions

Intervention: 1) glucometer group (n = 7) measured blood glucose at home ‐ 7 times a day, twice weekly (before and after each main meal and before bedtime).

Control: non‐meter group (n = 6) ‐ checked urine glucose 4 times daily, random blood glucose measured at the fortnightly clinic visits.

Outcomes

Outcomes used in this review

  1. Maternal glycaemic control (post‐prandial blood glucose).

  2. Birthweight.

Notes

Setting: King's College hospital.

Country: UK.

Funding: Medical Research Council Project Grant and the British Diabetic Association.

Declarations of interest: not reported.

Comments

  1. Sample size estimation was not reported.

  2. Type 2 DM pregnant patients were not included.

  3. A third group (normal women, n = 8) was included for comparison.

  4. The women were at 30‐31 weeks' gestation at the beginning of study.

  5. Women in the intervention group had their diet and insulin dosage adjusted by telephone or clinic consultation.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Comment: not mentioned.

Allocation concealment (selection bias)

Unclear risk

Comment: not mentioned.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Comment: iIntention‐to‐treat.

Selective reporting (reporting bias)

Low risk

All expected outcomes reported.

Other bias

Low risk

No obvious risk to other bias.

Varner 1983

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: 1 February 1980 to 16 September 1981.

Participants

Number randomised: 30.

Eligible were type 1 diabetes mellitus (IDDM) pregnant patients attending the High Risk Obstetric Clinic at the University of Iowa Hospitals and Clinics during the period of study.

Inclusion criteria: less than 20 weeks' gestation.

Exclusion criteria: not mentioned.

Interventions

Intervention: daily home glucose monitoring (n = 15) ‐ fasting, 2‐hour post‐prandial morning, afternoon and evening glucose values were measured daily.

Control: weekly venipuncture (n = 15) ‐ fasting, 2 hours after breakfast, and 2 hours after lunch glucose levels measured on 1 day each week.

Outcomes

Outcomes used in this review

  1. Caesarean section.

  2. Perinatal mortality.

  3. Maternal glycaemic control (HbA1c).

  4. Miscarriage.

  5. Neonatal mortality.

  6. Gestational age at birth.

  7. Birthweight.

  8. Respiratory distress syndrome.

  9. Neonatal hypoglycaemia.

  10. Neonatal jaundice.

  11. Neonatal hypocalcaemia.

  12. Neonatal polycythaemia.

  13. Neonatal cord vein C‐peptide.

Notes

Setting: High Risk Obstetric Clinic at the University of Iowa Hospitals and Clinics, Iowa.

Country: USA.

Funding: Research Fellowship from the Iowa Affiliate of the American Diabetes Association.

Declarations of interest: not reported.

Comments

  1. No sample size estimation reported.

  2. No type 2 DM pregnant patients included.

  3. Patients telephoned their physicians weekly to report their blood glucose values or possible complications.

  4. Insulin was adjusted by the patients with physicians' consultation.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Quote ‐ "Patients were assigned to control and experimental groups using a random number sequence".

Allocation concealment (selection bias)

Unclear risk

Comment: not mentioned.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of outcome assessment. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

High risk

2 patients from each group had a first trimester spontaneous miscarriage and were excluded (2 out of 30 = 7%).

Selective reporting (reporting bias)

Low risk

All expected outcomes reported.

Other bias

Low risk

No obvious risk to other bias.

Voormolen 2018

Methods

Nationwide multicentre, open‐label, parallel, pragmatic randomised controlled trial

Period of study: July 2011 to September 2015

Participants

Number randomised: 300 pregnant women type 1 (n = 109), type 2 (n = 82), or with gestational diabetes (n = 109).

Inclusion criteria: pregnant women with pre‐existing DM, at gestational age of before 16 weeks, or had GDM requiring insulin therapy before 30 weeks gestational age.

Exclusion criteria: women with multiple pregnancies, under 18 years of age, or who had severe medical or psychological comorbidity

Interventions

Intervention: CGM:iPro2 (Medtronic, Northridge, California) ‐ CGM in addition to standard care – self‐monitoring. Women allocated to CGM were instructed to use the device for 5‐7 days every 6 weeks and glucose profiles were obtained retrospectively, directly after each use and evaluated by the local endocrinologist. SMBG is required for calibration of CGM. Readings from the CGM are uploaded to a web‐based program; (n = 147 all women, 50 with T1DM, 40 T2DM).

Control: standard treatment ‐ self‐monitoring of blood glucose only (n = 153 all women, 97 with type 2 diabetes). All participants in both intervention and control groups performed SMBG (4‐8 times/day: at least fasting, after every meal, at bedtime and, preferably before every meal).

Outcomes

Outcomes used in this review

  1. Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia).

  2. Caesarean section*.

  3. Large‐for‐gestational age*.

  4. Induction of labour*.

  5. Glycaemic control during/end of treatment (as defined by trialists) (e.g. HbA1c, fructosamine, fasting blood glucose, post‐prandial blood glucose)*.

  6. Instrumental vaginal birth*.

  7. Neonatal mortality.

  8. Gestational age at birth*.

  9. Preterm birth*.

  10. Macrosomia (≥ 4000 g).

  11. Small‐for‐gestational age (< 10th centile)*.

  12. Birthweight and z‐score (birthweight g) mean (SD)*.

  13. Shoulder dystocia*.

  14. Neonatal hypocalcaemia*.

  15. Major and minor anomalies – congenital anomaly*.

  16. Neonatal intensive care unit admission*.

  17. Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite) – birth injury and shoulder dystocia*.

* outcome not reported separately for pre‐gestational and gestational diabetes

Notes

Setting: 22 hospitals (university, teaching and non‐teaching in the Netherlands and 1 university hospital in Belgium.

Country: the Netherlands.

Funding: the trial was funded by ZonMw, The Dutch Organization for Health Research and Development 80‐82310‐97‐11157. The funder had no role in the study design, data collection, data analysis, data interpretation or writing of the report. Continuous glucose monitors were purchased at a discounted price from Medtronic® and they had no role in the study design, data collection, data analysis, data interpretation, or writing of the report.

Declarations of interest: 1 of the trial authors received a research grant from ZonMW (the Netherlands Organization for Health Research and Development) and a second author received research grants from Abbott, Dexcom, Medtronic and Sensonics, and also received personal fees from Roche Diabetes Care and Sensonics. A third author is supported by an NHMRC Practitioner Fellowshop (GNT1082548) and reports consultancy for ObsEVa, Merck and Guerbet. All other authors declare no support from any organization or conflict of interest.

Comments

  1. A sample size calculation was reported.

  2. They included both women with pre‐gestational diabetes (type 1 and type 2) and women with GDM. However, for most of our review outcomes, the data were not separated out by pre‐gestational and GDM women.

  3. The study was approved by the ethics committee of the Academic Medical Centre Amsterda, (reference number MEC AMC 10/322) and by the boards of management of all participating hospitals.

  4. Written consent was obtained from all participating women.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Web‐based computerised programme using 1:1 randomisation, stratified according to type of diabetes

Allocation concealment (selection bias)

Unclear risk

Not clearly described

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

No blinding – but outcome measures mainly objective, so unlikely to be affected by lack of blinding

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

No blinding – but outcome measures mainly objective, so unlikely to be affected by lack of blinding

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

High number of patients refused continued use of the CGM after the first or second time – a total of 66% of participants used CGM according to study protocol. However, there was a clear flow of participants in trial profile figure and reasons for dropouts, withdrawal provided. Conducted analyses on intention‐to‐treat and per‐protocol basis; 4 drop‐outs from CGM group and 6 from standard group so primary analyses were carried out according to the intention‐to‐treat principle – 143/147 included from the (CGM group) and 147/153 (standard group in the intention‐to‐treat analysis).

Quite a high drop out rate – 95 women in the CGM group and 144 from the control group were included in the per‐protocol analyses. 48 discontinued intervention and 3 discontinued protocol for standard group leaving: 95/147 (66%) intervention group and 144/153 (98%) standard group

Selective reporting (reporting bias)

High risk

Maternal outcomes not reported

  1. Severe hypoglycaemia

Neonatal outcomes not reported

  1. Preterm birth < 37 weeks' gestation

  2. Birth trauma

  3. Culture proven sepsis

  4. Respiratory distress syndrome

  5. Bronchopulmonary dysplasia

  6. Intraventricular haemorrhage

  7. Necrotising enterocolitis

The above were outcomes in the methods of the full report – but were not presented in the results section.

The protocol also reported the following outcomes that were not reported in the results: mode of delivery, perinatal death, glucose variability, costs and resource utilisation

Other bias

Unclear risk

Baseline characteristics – groups were similar. Data not presented separately for pre‐gestational diabetes (type 1 and type 2 diabetes) and GDM patients for most of the outcomes.

Wojcicki 2001

Methods

Randomised, parallel‐group, open‐label, 2‐armed, active controlled trial.

Period of study: not mentioned.

Participants

Number randomised: 32.

Eligible were type 1 diabetes mellitus (IDDM) pregnant patients attending the Clinic of Gastroenterology and Metabolic Diseases of the Medical Academy in Warsaw during the period of study.

Inclusion criteria

  1. Duration of pregnancy less than 16 weeks.

  2. No diseases.

  3. Acceptable intelligence level according to the modified Wechsler‐Bellevue Scale for Adults.

  4. Glycaemic control in the range of HbA1c < 9.5%.

Exclusion criteria

  1. Not mentioned.

Interventions

Intervention:

Telematic Management System (Central Clinical Unit and Patients' Teletransmission Modules) (n = 15) ‐ daily transfer of glycaemic data to diabetologist, at least 6 blood glucose measurements daily.

Control:

Standard care without Telematic Management System (n = 15), 6 blood glucose measurement daily and routine clinic visit every 3 weeks.

Outcomes

Outcomes used in this review

  1. Gestational age at birth.

  2. Maternal glycaemic control (HbA1c, mean blood glucose).  

  3. Hypoglycaemia (maternal).

Notes

Setting: Clinic of Gastroenterology and Metabolic Diseases of the Medical Academy in Warsaw.

Country: Poland.

Funding: supported by grants from the Polish State Committee for Scientific Research, the Bayer Diagnostic Division Warsaw, and the Polish Cellular Telephony Centertel.

Declarations of interest: not reported.

Comments

  1. No sample size estimation reported.

  2. No type 2 DM pregnant patients included.

  3. 2 participants in the intervention group were excluded as they had pneumonia and Meniere's disease not diagnosed before randomisation.

  4. Intensive insulin treatment was provided with multi‐injection technique with 6 blood glucose measurements per day (before and 60 minutes after the 3 main meals).

  5. Each patient was followed up every 3 weeks by the same diabetologist.

  6. Patients from the intervention group had their blood glucose data transmitted to the diabetologist daily. Thus the diabetologist was able to examine the metabolic state and to intervene if necessary.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomisation stated but method of sequence generation not clear. Quote: "Before randomization written consent was taken........".

Allocation concealment (selection bias)

High risk

Not possible as the same diabetologist was seeing both groups and knew to which group the participant belonged (control group could access the diabetologist by phone any time).

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, this may not affect the results as all outcomes were objectively measured.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Comment: no blinding of participants and personnel. However, all outcomes were objectively measured.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All participants accounted for and all data reported.

Selective reporting (reporting bias)

Low risk

No obvious risk to selective reporting.

Other bias

Low risk

No obvious risk to other bias.

BMI: body mass index
CGM: continuous glucose monitoring
CGMS: continuous glucose monitoring system
DM: diabetes mellitus
GDM: gestational diabetes mellitus
IDDM: insulin‐dependent diabetes mellitus
IGF‐1: insulin‐like growth factor‐1
IQR: interquartile range
NIDDM: non insulin‐dependent diabetes mellitus

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Bartholomew 2011

Cross‐over trial. Included women with GDM AND pre‐existing type 2 diabetes: results are not presented separately.

NCT01630759

Clinical trial registration ‐ for gestational diabetics only ‐ started in January 2012, expected to complete by April 2013.

Temple 2006

Abstract of an observational study of 8 type 1 diabetic pregnant women using CGMS.

Walker 1999

Clinical trial registration ‐ contacted author, no published data or report available.

CGMS: continuous glucose monitoring system
GDM: gestational diabetes mellitus

Characteristics of ongoing studies [ordered by study ID]

Link 2018

Trial name or title

Link H, NCT03504592. Utilizing mHealth to improve diabetes in an obstetric population. https://clinicaltrials.gov/ct2/show/NCT03504592 (first received 20 April 2018).

Methods

Randomised, parallel single‐centre trial, open‐label ‐ USA

Participants

Inclusion criteria: 18 to 60 years, pregnant, English speaking, diagnosed with diabetes during pregnancy or with known pre‐existing diabetes, have a smart phone

Interventions

MHealth technology ‐ participants to record blood glucose values with the assistance of a smart phone device compared to traditional care method of clinic

Outcomes

Primary: completeness and accuracy of blood glucose record

Secondary: patient satisfaction, glucose values at goal, % change in HbA1C, clinic visits, unscheduled healthcare access episodes

Starting date

1 May 2018

Contact information

Heather Link, email: [email protected]

Notes

Estimated study completion ‐ June 2019

Logan 2011

Trial name or title

Managing diabetes during pregnancy in the wireless age: a RCT of glucose telemonitoring. https://clinicaltrials.gov/ct2/show/NCT01474525 (first received 18 November 2011).

Methods

Randomised, parallel single‐centre trial, open‐label ‐ Canada

Participants

Inclusion criteria: pregnant, diagnosed with gestational diabetes or type 2 diabetes, comfortable with instructions in English and be able to express themselves using simple phrases in English

Interventions

Home blood glucose telemonitoring system (system designed to send the measured blood glucose values directly to a hospital server, values recorded by glucometer are sent to a Blackberry cell phone, which services as the platform for data‐transmission to the central server) compared to usual care

Outcomes

Primary: mean blood glucose, based on the highest post‐prandial blood glucose reading each day, by trimester

Secondary outcomes: mean fasting and post‐prandial blood glucose by trimester, percentage of values within recommended guidelines, adherence, onset of labour and mode of delivery

Fetal outcomes: gestational age at delivery, birthweight, percentage of macrosomia, large‐for‐gestational age, small‐for‐gestational age, Apgar at 1 and 5 minutes

Perinatal complications: premature, NICU admission, jaundice, shoulder dystocia, hypoglycaemia

Provider usage: number of log‐ins onto the system, average amount of time spent on the system per week

Starting date

January 2010

Contact information

Alexander G Logan, email: [email protected]

Notes

Estimated study completion ‐ March 2012

HbA1C: haemoglobin A1C (glycated haemoglobin)
NICU: neonatal intensive care unit
RCT: randomised controlled trial

Data and analyses

Open in table viewer
Comparison 1. Continuous glucose monitoring versus intermittent glucose monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Hypertensive disorders of pregnancy Show forest plot

2

384

Risk Ratio (M‐H, Fixed, 95% CI)

0.58 [0.39, 0.85]

Analysis 1.1

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 1 Hypertensive disorders of pregnancy.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 1 Hypertensive disorders of pregnancy.

2 Caesarean section Show forest plot

3

427

Risk Ratio (M‐H, Random, 95% CI)

0.94 [0.75, 1.18]

Analysis 1.2

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 2 Caesarean section.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 2 Caesarean section.

3 Large‐for‐gestational age Show forest plot

3

421

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.57, 1.26]

Analysis 1.3

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 3 Large‐for‐gestational age.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 3 Large‐for‐gestational age.

4 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

71

Risk Ratio (M‐H, Fixed, 95% CI)

0.82 [0.05, 12.61]

Analysis 1.4

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 4 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 4 Perinatal mortality (stillbirth and neonatal mortality).

5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.80 [0.61, 1.06]

Analysis 1.5

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours).

6 Pre‐eclampsia Show forest plot

4

609

Risk Ratio (M‐H, Fixed, 95% CI)

0.65 [0.39, 1.08]

Analysis 1.6

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 6 Pre‐eclampsia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 6 Pre‐eclampsia.

7 Pregnancy‐induced hypertension Show forest plot

2

384

Risk Ratio (M‐H, Fixed, 95% CI)

0.67 [0.38, 1.16]

Analysis 1.7

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 7 Pregnancy‐induced hypertension.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 7 Pregnancy‐induced hypertension.

8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

1.00 [‐1.06, 3.06]

Analysis 1.8

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia).

9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐2.50, 1.10]

Analysis 1.9

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation).

10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

0.80 [‐3.06, 4.66]

Analysis 1.10

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation).

11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

4.30 [0.73, 7.87]

Analysis 1.11

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation).

12 Glycaemic control ‐ Maternal HbA1c Show forest plot

2

258

Mean Difference (IV, Random, 95% CI)

‐0.37 [‐0.78, 0.04]

Analysis 1.12

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 12 Glycaemic control ‐ Maternal HbA1c.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 12 Glycaemic control ‐ Maternal HbA1c.

13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks Show forest plot

1

187

Risk Ratio (M‐H, Fixed, 95% CI)

1.27 [1.00, 1.62]

Analysis 1.13

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks.

14 Maternal hypoglycaemia (severe) Show forest plot

1

154

Risk Ratio (M‐H, Fixed, 95% CI)

0.92 [0.43, 1.95]

Analysis 1.14

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 14 Maternal hypoglycaemia (severe).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 14 Maternal hypoglycaemia (severe).

15 Miscarriage Show forest plot

3

439

Risk Ratio (M‐H, Fixed, 95% CI)

1.24 [0.47, 3.26]

Analysis 1.15

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 15 Miscarriage.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 15 Miscarriage.

16 Stillbirth Show forest plot

1

211

Risk Ratio (M‐H, Fixed, 95% CI)

0.34 [0.01, 8.17]

Analysis 1.16

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 16 Stillbirth.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 16 Stillbirth.

17 Neonatal mortality Show forest plot

2

256

Risk Ratio (M‐H, Fixed, 95% CI)

0.92 [0.13, 6.37]

Analysis 1.17

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 17 Neonatal mortality.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 17 Neonatal mortality.

18 Gestational age at birth Show forest plot

1

68

Mean Difference (IV, Fixed, 95% CI)

0.10 [‐0.57, 0.77]

Analysis 1.18

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 18 Gestational age at birth.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 18 Gestational age at birth.

19 Preterm birth < 37 weeks Show forest plot

3

430

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.72, 1.29]

Analysis 1.19

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 19 Preterm birth < 37 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 19 Preterm birth < 37 weeks.

20 Preterm birth < 34 weeks Show forest plot

1

211

Risk Ratio (M‐H, Fixed, 95% CI)

0.46 [0.17, 1.28]

Analysis 1.20

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 20 Preterm birth < 34 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 20 Preterm birth < 34 weeks.

21 Macrosomia Show forest plot

3

451

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.61, 1.17]

Analysis 1.21

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 21 Macrosomia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 21 Macrosomia.

22 Birthweight Show forest plot

2

267

Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.38, 0.12]

Analysis 1.22

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 22 Birthweight.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 22 Birthweight.

23 Small‐for‐gestational age Show forest plot

2

269

Risk Ratio (M‐H, Fixed, 95% CI)

2.40 [0.55, 10.51]

Analysis 1.23

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 23 Small‐for‐gestational age.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 23 Small‐for‐gestational age.

24 Head circumference (cm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.79, 0.39]

Analysis 1.24

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 24 Head circumference (cm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 24 Head circumference (cm).

25 Length (crown‐heel length cm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.79, 0.39]

Analysis 1.25

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 25 Length (crown‐heel length cm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 25 Length (crown‐heel length cm).

26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐1.98, 1.58]

Analysis 1.26

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm).

27 Shoulder dystocia Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.12, 72.77]

Analysis 1.27

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 27 Shoulder dystocia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 27 Shoulder dystocia.

28 Respiratory distress syndrome Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.41, 2.41]

Analysis 1.28

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 28 Respiratory distress syndrome.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 28 Respiratory distress syndrome.

29 Neonatal hypoglycaemia Show forest plot

3

428

Risk Ratio (M‐H, Fixed, 95% CI)

0.66 [0.48, 0.93]

Analysis 1.29

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 29 Neonatal hypoglycaemia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 29 Neonatal hypoglycaemia.

30 Neonatal hyperbilirubinaemia Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.81 [0.52, 1.26]

Analysis 1.30

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 30 Neonatal hyperbilirubinaemia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 30 Neonatal hyperbilirubinaemia.

31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.95 [0.68, 1.33]

Analysis 1.31

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L).

32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.33, 3.00]

Analysis 1.32

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L).

33 Major and minor anomalies Show forest plot

2

285

Risk Ratio (M‐H, Fixed, 95% CI)

0.71 [0.16, 3.13]

Analysis 1.33

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 33 Major and minor anomalies.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 33 Major and minor anomalies.

34 Number of hospital admissions (mother) Show forest plot

1

207

Risk Ratio (M‐H, Fixed, 95% CI)

1.25 [0.84, 1.85]

Analysis 1.34

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 34 Number of hospital admissions (mother).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 34 Number of hospital admissions (mother).

35 Neonatal intensive care unit admissions Show forest plot

2

274

Risk Ratio (M‐H, Random, 95% CI)

0.76 [0.42, 1.35]

Analysis 1.35

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 35 Neonatal intensive care unit admissions.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 35 Neonatal intensive care unit admissions.

36 Neonatal intensive care unit length of admission > 24 hours Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.63 [0.42, 0.93]

Analysis 1.36

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 36 Neonatal intensive care unit length of admission > 24 hours.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 36 Neonatal intensive care unit length of admission > 24 hours.

37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

5.0 [0.24, 102.85]

Analysis 1.37

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy).

38 Diabetic ketoacidosis (mother) Show forest plot

1

207

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.14, 7.03]

Analysis 1.38

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 38 Diabetic ketoacidosis (mother).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 38 Diabetic ketoacidosis (mother).

Open in table viewer
Comparison 2. Self‐monitoring versus different type of self monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.78 [0.40, 1.49]

Analysis 2.1

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 1 Caesarean section.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 1 Caesarean section.

2 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

Analysis 2.2

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 2 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 2 Perinatal mortality (stillbirth and neonatal mortality).

3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose) Show forest plot

1

13

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐2.15, 0.75]

Analysis 2.3

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose).

4 Glycaemic control during/end of treatment (maternal HbA1c) Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

‐0.10 [‐1.93, 1.73]

Analysis 2.4

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 4 Glycaemic control during/end of treatment (maternal HbA1c).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 4 Glycaemic control during/end of treatment (maternal HbA1c).

5 Miscarriage Show forest plot

1

30

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.07, 14.55]

Analysis 2.5

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 5 Miscarriage.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 5 Miscarriage.

6 Neonatal mortality Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

Analysis 2.6

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 6 Neonatal mortality.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 6 Neonatal mortality.

7 Gestational age at birth Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

0.40 [‐1.65, 2.45]

Analysis 2.7

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 7 Gestational age at birth.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 7 Gestational age at birth.

8 Birthweight Show forest plot

2

41

Mean Difference (IV, Fixed, 95% CI)

‐0.18 [‐0.49, 0.13]

Analysis 2.8

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 8 Birthweight.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 8 Birthweight.

9 Respiratory distress syndrome Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

Analysis 2.9

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 9 Respiratory distress syndrome.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 9 Respiratory distress syndrome.

10 Neonatal hypoglycaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.57 [0.21, 1.52]

Analysis 2.10

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 10 Neonatal hypoglycaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 10 Neonatal hypoglycaemia.

11 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.56 [0.25, 1.24]

Analysis 2.11

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 11 Neonatal jaundice (hyperbilirubinaemia).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 11 Neonatal jaundice (hyperbilirubinaemia).

12 Neonatal hypocalcaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.07, 14.45]

Analysis 2.12

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 12 Neonatal hypocalcaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 12 Neonatal hypocalcaemia.

13 Neonatal polycythaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.33 [0.01, 7.55]

Analysis 2.13

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 13 Neonatal polycythaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 13 Neonatal polycythaemia.

14 Neonatal cord vein C‐peptide Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

0.13 [‐0.50, 0.76]

Analysis 2.14

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 14 Neonatal cord vein C‐peptide.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 14 Neonatal cord vein C‐peptide.

Open in table viewer
Comparison 3. Self‐monitoring at home versus hospitalisation

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Hypertensive disorders of pregnancy Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.19 [0.41, 3.51]

Analysis 3.1

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 1 Hypertensive disorders of pregnancy.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 1 Hypertensive disorders of pregnancy.

2 Caesarean section Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.65, 1.44]

Analysis 3.2

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 2 Caesarean section.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 2 Caesarean section.

3 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.05, 13.24]

Analysis 3.3

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

4 Pre‐eclampsia Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

4.26 [0.52, 35.16]

Analysis 3.4

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 4 Pre‐eclampsia.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 4 Pre‐eclampsia.

5 Pregnancy‐induced hypertension Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.43 [0.08, 2.22]

Analysis 3.5

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 5 Pregnancy‐induced hypertension.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 5 Pregnancy‐induced hypertension.

6 Placental abruption Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.70 [0.16, 18.19]

Analysis 3.6

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 6 Placental abruption.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 6 Placental abruption.

7 Preterm birth < 37 weeks Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.45, 1.60]

Analysis 3.7

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 7 Preterm birth < 37 weeks.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 7 Preterm birth < 37 weeks.

8 Respiratory distress syndrome Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

2.56 [0.28, 23.74]

Analysis 3.8

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 8 Respiratory distress syndrome.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 8 Respiratory distress syndrome.

9 Neonatal hypoglycaemia Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.50, 2.03]

Analysis 3.9

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 9 Neonatal hypoglycaemia.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 9 Neonatal hypoglycaemia.

10 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

2.27 [0.64, 8.07]

Analysis 3.10

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 10 Neonatal jaundice (hyperbilirubinaemia).

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 10 Neonatal jaundice (hyperbilirubinaemia).

11 Major anomalies Show forest plot

1

102

Risk Ratio (M‐H, Fixed, 95% CI)

0.27 [0.03, 2.54]

Analysis 3.11

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 11 Major anomalies.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 11 Major anomalies.

12 Antenatal hospital admission Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.19 [0.11, 0.33]

Analysis 3.12

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 12 Antenatal hospital admission.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 12 Antenatal hospital admission.

13 Feeding difficulties (not pre‐specified) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.41, 1.78]

Analysis 3.13

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 13 Feeding difficulties (not pre‐specified).

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 13 Feeding difficulties (not pre‐specified).

Open in table viewer
Comparison 4. Pre‐prandial versus post‐prandial glucose monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.45 [0.92, 2.28]

Analysis 4.1

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 1 Caesarean section.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 1 Caesarean section.

2 Large‐for‐gestational age Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.16 [0.73, 1.85]

Analysis 4.2

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 2 Large‐for‐gestational age.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 2 Large‐for‐gestational age.

3 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.91 [0.12, 68.66]

Analysis 4.3

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

4 Pre‐eclampsia Show forest plot

1

58

Risk Ratio (M‐H, Fixed, 95% CI)

6.43 [0.82, 50.11]

Analysis 4.4

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 4 Pre‐eclampsia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 4 Pre‐eclampsia.

5 Weight gain during pregnancy Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.90 [‐3.86, 2.06]

Analysis 4.5

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 5 Weight gain during pregnancy.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 5 Weight gain during pregnancy.

6 Insulin dose Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐17.40 [‐43.41, 8.61]

Analysis 4.6

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 6 Insulin dose.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 6 Insulin dose.

7 Glycaemic control ‐ Insulin dose Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.45, 0.05]

Analysis 4.7

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 7 Glycaemic control ‐ Insulin dose.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 7 Glycaemic control ‐ Insulin dose.

8 Glycaemic control ‐ HbA1c Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.30 [‐0.08, 0.68]

Analysis 4.8

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 8 Glycaemic control ‐ HbA1c.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 8 Glycaemic control ‐ HbA1c.

9 Stillbirth Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.91 [0.12, 68.66]

Analysis 4.9

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 9 Stillbirth.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 9 Stillbirth.

10 Gestational age at birth Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.20 [‐0.84, 1.24]

Analysis 4.10

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 10 Gestational age at birth.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 10 Gestational age at birth.

11 Preterm birth < 37 weeks Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.33 [0.62, 2.84]

Analysis 4.11

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 11 Preterm birth < 37 weeks.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 11 Preterm birth < 37 weeks.

12 Macrosomia Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.18 [0.75, 6.32]

Analysis 4.12

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 12 Macrosomia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 12 Macrosomia.

13 Birthweight Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.24 [‐0.10, 0.58]

Analysis 4.13

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 13 Birthweight.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 13 Birthweight.

14 Adiposity ‐ Subscapula skinfold thickness Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.60 [‐0.18, 1.38]

Analysis 4.14

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 14 Adiposity ‐ Subscapula skinfold thickness.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 14 Adiposity ‐ Subscapula skinfold thickness.

15 Adiposity ‐ Triceps skinfold thickness Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.60 [0.04, 1.16]

Analysis 4.15

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 15 Adiposity ‐ Triceps skinfold thickness.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 15 Adiposity ‐ Triceps skinfold thickness.

16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

0.48 [0.05, 5.06]

Analysis 4.16

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite).

17 Respiratory distress syndrome Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

0.97 [0.06, 14.78]

Analysis 4.17

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 17 Respiratory distress syndrome.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 17 Respiratory distress syndrome.

18 Neonatal hypoglycaemia Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.09 [0.48, 2.45]

Analysis 4.18

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 18 Neonatal hypoglycaemia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 18 Neonatal hypoglycaemia.

19 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.16 [0.40, 3.40]

Analysis 4.19

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 19 Neonatal jaundice (hyperbilirubinaemia).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 19 Neonatal jaundice (hyperbilirubinaemia).

20 Cord IGF‐1 Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

1.30 [‐0.70, 3.30]

Analysis 4.20

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 20 Cord IGF‐1.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 20 Cord IGF‐1.

21 Neonatal glucose at age 1 hour (not pre‐specified) Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.88, 0.48]

Analysis 4.21

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 21 Neonatal glucose at age 1 hour (not pre‐specified).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 21 Neonatal glucose at age 1 hour (not pre‐specified).

22 Transient tachypnea (not pre‐specified) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.58 [0.76, 8.81]

Analysis 4.22

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 22 Transient tachypnea (not pre‐specified).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 22 Transient tachypnea (not pre‐specified).

23 Neonatal intensive care admissions Show forest plot

1

59

Risk Ratio (M‐H, Fixed, 95% CI)

1.04 [0.62, 1.74]

Analysis 4.23

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 23 Neonatal intensive care admissions.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 23 Neonatal intensive care admissions.

Open in table viewer
Comparison 5. Automated telemedicine monitoring versus conventional

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.62, 1.48]

Analysis 5.1

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 1 Caesarean section.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 1 Caesarean section.

2 Neonatal morbidity composite Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.18 [0.53, 2.62]

Analysis 5.2

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 2 Neonatal morbidity composite.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 2 Neonatal morbidity composite.

3 Gestational age at birth Show forest plot

3

84

Mean Difference (IV, Fixed, 95% CI)

0.24 [‐0.39, 0.88]

Analysis 5.3

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 3 Gestational age at birth.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 3 Gestational age at birth.

4 Use of additional insulin therapy Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.89, 1.12]

Analysis 5.4

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 4 Use of additional insulin therapy.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 4 Use of additional insulin therapy.

5 Insulin requirement at end of study Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

18.4 [12.88, 23.92]

Analysis 5.5

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 5 Insulin requirement at end of study.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 5 Insulin requirement at end of study.

6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.0 [‐1.22, ‐0.78]

Analysis 5.6

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast.

7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.10 [‐1.32, ‐0.88]

Analysis 5.7

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch.

8 Glycaemic control ‐ Maternal HbA1c Show forest plot

3

82

Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.82, 0.48]

Analysis 5.8

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 8 Glycaemic control ‐ Maternal HbA1c.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 8 Glycaemic control ‐ Maternal HbA1c.

9 Glycaemic control ‐ Maternal post‐prandial blood glucose Show forest plot

2

50

Mean Difference (IV, Random, 95% CI)

‐0.80 [‐1.67, 0.08]

Analysis 5.9

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 9 Glycaemic control ‐ Maternal post‐prandial blood glucose.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 9 Glycaemic control ‐ Maternal post‐prandial blood glucose.

10 Weight gain during pregnancy [kg] Show forest plot

1

32

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐4.95, 3.55]

Analysis 5.10

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 10 Weight gain during pregnancy [kg].

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 10 Weight gain during pregnancy [kg].

11 Macrosomia Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.18 [0.31, 4.43]

Analysis 5.11

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 11 Macrosomia.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 11 Macrosomia.

12 Birthweight Show forest plot

1

32

Mean Difference (IV, Fixed, 95% CI)

‐0.16 [‐0.64, 0.32]

Analysis 5.12

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 12 Birthweight.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 12 Birthweight.

Open in table viewer
Comparison 6. Constant CGM versus intermittent CGM

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.77 [0.33, 1.79]

Analysis 6.1

Comparison 6 Constant CGM versus intermittent CGM, Outcome 1 Caesarean section.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 1 Caesarean section.

2 Weight gain during pregnancy Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

0.5 [‐1.82, 2.82]

Analysis 6.2

Comparison 6 Constant CGM versus intermittent CGM, Outcome 2 Weight gain during pregnancy.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 2 Weight gain during pregnancy.

3 Insulin dosage, 3rd trimester (IU/kg/day) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.03 [‐1.30, 1.24]

Analysis 6.3

Comparison 6 Constant CGM versus intermittent CGM, Outcome 3 Insulin dosage, 3rd trimester (IU/kg/day).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 3 Insulin dosage, 3rd trimester (IU/kg/day).

4 Glycaemic control ‐ Maternal blood glucose (1st trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.5 [‐2.70, 1.70]

Analysis 6.4

Comparison 6 Constant CGM versus intermittent CGM, Outcome 4 Glycaemic control ‐ Maternal blood glucose (1st trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 4 Glycaemic control ‐ Maternal blood glucose (1st trimester).

5 Glycaemic control ‐ Maternal blood glucose (3rd trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.14 [‐2.00, 1.72]

Analysis 6.5

Comparison 6 Constant CGM versus intermittent CGM, Outcome 5 Glycaemic control ‐ Maternal blood glucose (3rd trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 5 Glycaemic control ‐ Maternal blood glucose (3rd trimester).

6 Glycaemic control ‐ Maternal HbA1c (1st trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.30 [‐1.13, 0.53]

Analysis 6.6

Comparison 6 Constant CGM versus intermittent CGM, Outcome 6 Glycaemic control ‐ Maternal HbA1c (1st trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 6 Glycaemic control ‐ Maternal HbA1c (1st trimester).

7 Glycaemic control ‐ Maternal HbA1c (3rd trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.09 [‐0.69, 0.51]

Analysis 6.7

Comparison 6 Constant CGM versus intermittent CGM, Outcome 7 Glycaemic control ‐ Maternal HbA1c (3rd trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 7 Glycaemic control ‐ Maternal HbA1c (3rd trimester).

8 Maternal hypoglycemia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.54 [0.06, 5.24]

Analysis 6.8

Comparison 6 Constant CGM versus intermittent CGM, Outcome 8 Maternal hypoglycemia.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 8 Maternal hypoglycemia.

9 Diabetic ketoacidosis (not pre‐specified) Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.36 [0.02, 8.05]

Analysis 6.9

Comparison 6 Constant CGM versus intermittent CGM, Outcome 9 Diabetic ketoacidosis (not pre‐specified).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 9 Diabetic ketoacidosis (not pre‐specified).

10 Preterm birth < 37 weeks Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.08, 15.46]

Analysis 6.10

Comparison 6 Constant CGM versus intermittent CGM, Outcome 10 Preterm birth < 37 weeks.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 10 Preterm birth < 37 weeks.

11 Macrosomia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.08, 15.46]

Analysis 6.11

Comparison 6 Constant CGM versus intermittent CGM, Outcome 11 Macrosomia.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 11 Macrosomia.

12 Neonatal hypoglycaemia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

Analysis 6.12

Comparison 6 Constant CGM versus intermittent CGM, Outcome 12 Neonatal hypoglycaemia.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 12 Neonatal hypoglycaemia.

Study flow diagram 2018
Figuras y tablas -
Figure 1

Study flow diagram 2018

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 2

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study.

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 3

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 1 Hypertensive disorders of pregnancy.
Figuras y tablas -
Analysis 1.1

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 1 Hypertensive disorders of pregnancy.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 2 Caesarean section.
Figuras y tablas -
Analysis 1.2

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 2 Caesarean section.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 3 Large‐for‐gestational age.
Figuras y tablas -
Analysis 1.3

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 3 Large‐for‐gestational age.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 4 Perinatal mortality (stillbirth and neonatal mortality).
Figuras y tablas -
Analysis 1.4

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 4 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours).
Figuras y tablas -
Analysis 1.5

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 6 Pre‐eclampsia.
Figuras y tablas -
Analysis 1.6

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 6 Pre‐eclampsia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 7 Pregnancy‐induced hypertension.
Figuras y tablas -
Analysis 1.7

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 7 Pregnancy‐induced hypertension.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia).
Figuras y tablas -
Analysis 1.8

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation).
Figuras y tablas -
Analysis 1.9

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation).
Figuras y tablas -
Analysis 1.10

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation).
Figuras y tablas -
Analysis 1.11

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 12 Glycaemic control ‐ Maternal HbA1c.
Figuras y tablas -
Analysis 1.12

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 12 Glycaemic control ‐ Maternal HbA1c.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks.
Figuras y tablas -
Analysis 1.13

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 14 Maternal hypoglycaemia (severe).
Figuras y tablas -
Analysis 1.14

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 14 Maternal hypoglycaemia (severe).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 15 Miscarriage.
Figuras y tablas -
Analysis 1.15

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 15 Miscarriage.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 16 Stillbirth.
Figuras y tablas -
Analysis 1.16

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 16 Stillbirth.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 17 Neonatal mortality.
Figuras y tablas -
Analysis 1.17

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 17 Neonatal mortality.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 18 Gestational age at birth.
Figuras y tablas -
Analysis 1.18

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 18 Gestational age at birth.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 19 Preterm birth < 37 weeks.
Figuras y tablas -
Analysis 1.19

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 19 Preterm birth < 37 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 20 Preterm birth < 34 weeks.
Figuras y tablas -
Analysis 1.20

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 20 Preterm birth < 34 weeks.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 21 Macrosomia.
Figuras y tablas -
Analysis 1.21

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 21 Macrosomia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 22 Birthweight.
Figuras y tablas -
Analysis 1.22

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 22 Birthweight.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 23 Small‐for‐gestational age.
Figuras y tablas -
Analysis 1.23

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 23 Small‐for‐gestational age.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 24 Head circumference (cm).
Figuras y tablas -
Analysis 1.24

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 24 Head circumference (cm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 25 Length (crown‐heel length cm).
Figuras y tablas -
Analysis 1.25

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 25 Length (crown‐heel length cm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm).
Figuras y tablas -
Analysis 1.26

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 27 Shoulder dystocia.
Figuras y tablas -
Analysis 1.27

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 27 Shoulder dystocia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 28 Respiratory distress syndrome.
Figuras y tablas -
Analysis 1.28

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 28 Respiratory distress syndrome.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 29 Neonatal hypoglycaemia.
Figuras y tablas -
Analysis 1.29

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 29 Neonatal hypoglycaemia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 30 Neonatal hyperbilirubinaemia.
Figuras y tablas -
Analysis 1.30

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 30 Neonatal hyperbilirubinaemia.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L).
Figuras y tablas -
Analysis 1.31

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L).
Figuras y tablas -
Analysis 1.32

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 33 Major and minor anomalies.
Figuras y tablas -
Analysis 1.33

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 33 Major and minor anomalies.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 34 Number of hospital admissions (mother).
Figuras y tablas -
Analysis 1.34

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 34 Number of hospital admissions (mother).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 35 Neonatal intensive care unit admissions.
Figuras y tablas -
Analysis 1.35

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 35 Neonatal intensive care unit admissions.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 36 Neonatal intensive care unit length of admission > 24 hours.
Figuras y tablas -
Analysis 1.36

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 36 Neonatal intensive care unit length of admission > 24 hours.

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy).
Figuras y tablas -
Analysis 1.37

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy).

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 38 Diabetic ketoacidosis (mother).
Figuras y tablas -
Analysis 1.38

Comparison 1 Continuous glucose monitoring versus intermittent glucose monitoring, Outcome 38 Diabetic ketoacidosis (mother).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 1 Caesarean section.
Figuras y tablas -
Analysis 2.1

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 1 Caesarean section.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 2 Perinatal mortality (stillbirth and neonatal mortality).
Figuras y tablas -
Analysis 2.2

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 2 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose).
Figuras y tablas -
Analysis 2.3

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 4 Glycaemic control during/end of treatment (maternal HbA1c).
Figuras y tablas -
Analysis 2.4

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 4 Glycaemic control during/end of treatment (maternal HbA1c).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 5 Miscarriage.
Figuras y tablas -
Analysis 2.5

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 5 Miscarriage.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 6 Neonatal mortality.
Figuras y tablas -
Analysis 2.6

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 6 Neonatal mortality.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 7 Gestational age at birth.
Figuras y tablas -
Analysis 2.7

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 7 Gestational age at birth.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 8 Birthweight.
Figuras y tablas -
Analysis 2.8

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 8 Birthweight.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 9 Respiratory distress syndrome.
Figuras y tablas -
Analysis 2.9

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 9 Respiratory distress syndrome.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 10 Neonatal hypoglycaemia.
Figuras y tablas -
Analysis 2.10

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 10 Neonatal hypoglycaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 11 Neonatal jaundice (hyperbilirubinaemia).
Figuras y tablas -
Analysis 2.11

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 11 Neonatal jaundice (hyperbilirubinaemia).

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 12 Neonatal hypocalcaemia.
Figuras y tablas -
Analysis 2.12

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 12 Neonatal hypocalcaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 13 Neonatal polycythaemia.
Figuras y tablas -
Analysis 2.13

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 13 Neonatal polycythaemia.

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 14 Neonatal cord vein C‐peptide.
Figuras y tablas -
Analysis 2.14

Comparison 2 Self‐monitoring versus different type of self monitoring, Outcome 14 Neonatal cord vein C‐peptide.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 1 Hypertensive disorders of pregnancy.
Figuras y tablas -
Analysis 3.1

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 1 Hypertensive disorders of pregnancy.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 2 Caesarean section.
Figuras y tablas -
Analysis 3.2

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 2 Caesarean section.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).
Figuras y tablas -
Analysis 3.3

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 4 Pre‐eclampsia.
Figuras y tablas -
Analysis 3.4

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 4 Pre‐eclampsia.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 5 Pregnancy‐induced hypertension.
Figuras y tablas -
Analysis 3.5

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 5 Pregnancy‐induced hypertension.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 6 Placental abruption.
Figuras y tablas -
Analysis 3.6

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 6 Placental abruption.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 7 Preterm birth < 37 weeks.
Figuras y tablas -
Analysis 3.7

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 7 Preterm birth < 37 weeks.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 8 Respiratory distress syndrome.
Figuras y tablas -
Analysis 3.8

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 8 Respiratory distress syndrome.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 9 Neonatal hypoglycaemia.
Figuras y tablas -
Analysis 3.9

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 9 Neonatal hypoglycaemia.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 10 Neonatal jaundice (hyperbilirubinaemia).
Figuras y tablas -
Analysis 3.10

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 10 Neonatal jaundice (hyperbilirubinaemia).

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 11 Major anomalies.
Figuras y tablas -
Analysis 3.11

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 11 Major anomalies.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 12 Antenatal hospital admission.
Figuras y tablas -
Analysis 3.12

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 12 Antenatal hospital admission.

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 13 Feeding difficulties (not pre‐specified).
Figuras y tablas -
Analysis 3.13

Comparison 3 Self‐monitoring at home versus hospitalisation, Outcome 13 Feeding difficulties (not pre‐specified).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 1 Caesarean section.
Figuras y tablas -
Analysis 4.1

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 1 Caesarean section.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 2 Large‐for‐gestational age.
Figuras y tablas -
Analysis 4.2

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 2 Large‐for‐gestational age.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).
Figuras y tablas -
Analysis 4.3

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 3 Perinatal mortality (stillbirth and neonatal mortality).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 4 Pre‐eclampsia.
Figuras y tablas -
Analysis 4.4

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 4 Pre‐eclampsia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 5 Weight gain during pregnancy.
Figuras y tablas -
Analysis 4.5

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 5 Weight gain during pregnancy.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 6 Insulin dose.
Figuras y tablas -
Analysis 4.6

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 6 Insulin dose.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 7 Glycaemic control ‐ Insulin dose.
Figuras y tablas -
Analysis 4.7

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 7 Glycaemic control ‐ Insulin dose.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 8 Glycaemic control ‐ HbA1c.
Figuras y tablas -
Analysis 4.8

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 8 Glycaemic control ‐ HbA1c.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 9 Stillbirth.
Figuras y tablas -
Analysis 4.9

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 9 Stillbirth.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 10 Gestational age at birth.
Figuras y tablas -
Analysis 4.10

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 10 Gestational age at birth.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 11 Preterm birth < 37 weeks.
Figuras y tablas -
Analysis 4.11

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 11 Preterm birth < 37 weeks.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 12 Macrosomia.
Figuras y tablas -
Analysis 4.12

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 12 Macrosomia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 13 Birthweight.
Figuras y tablas -
Analysis 4.13

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 13 Birthweight.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 14 Adiposity ‐ Subscapula skinfold thickness.
Figuras y tablas -
Analysis 4.14

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 14 Adiposity ‐ Subscapula skinfold thickness.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 15 Adiposity ‐ Triceps skinfold thickness.
Figuras y tablas -
Analysis 4.15

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 15 Adiposity ‐ Triceps skinfold thickness.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite).
Figuras y tablas -
Analysis 4.16

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 17 Respiratory distress syndrome.
Figuras y tablas -
Analysis 4.17

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 17 Respiratory distress syndrome.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 18 Neonatal hypoglycaemia.
Figuras y tablas -
Analysis 4.18

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 18 Neonatal hypoglycaemia.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 19 Neonatal jaundice (hyperbilirubinaemia).
Figuras y tablas -
Analysis 4.19

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 19 Neonatal jaundice (hyperbilirubinaemia).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 20 Cord IGF‐1.
Figuras y tablas -
Analysis 4.20

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 20 Cord IGF‐1.

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 21 Neonatal glucose at age 1 hour (not pre‐specified).
Figuras y tablas -
Analysis 4.21

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 21 Neonatal glucose at age 1 hour (not pre‐specified).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 22 Transient tachypnea (not pre‐specified).
Figuras y tablas -
Analysis 4.22

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 22 Transient tachypnea (not pre‐specified).

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 23 Neonatal intensive care admissions.
Figuras y tablas -
Analysis 4.23

Comparison 4 Pre‐prandial versus post‐prandial glucose monitoring, Outcome 23 Neonatal intensive care admissions.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 1 Caesarean section.
Figuras y tablas -
Analysis 5.1

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 1 Caesarean section.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 2 Neonatal morbidity composite.
Figuras y tablas -
Analysis 5.2

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 2 Neonatal morbidity composite.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 3 Gestational age at birth.
Figuras y tablas -
Analysis 5.3

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 3 Gestational age at birth.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 4 Use of additional insulin therapy.
Figuras y tablas -
Analysis 5.4

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 4 Use of additional insulin therapy.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 5 Insulin requirement at end of study.
Figuras y tablas -
Analysis 5.5

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 5 Insulin requirement at end of study.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast.
Figuras y tablas -
Analysis 5.6

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch.
Figuras y tablas -
Analysis 5.7

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 8 Glycaemic control ‐ Maternal HbA1c.
Figuras y tablas -
Analysis 5.8

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 8 Glycaemic control ‐ Maternal HbA1c.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 9 Glycaemic control ‐ Maternal post‐prandial blood glucose.
Figuras y tablas -
Analysis 5.9

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 9 Glycaemic control ‐ Maternal post‐prandial blood glucose.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 10 Weight gain during pregnancy [kg].
Figuras y tablas -
Analysis 5.10

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 10 Weight gain during pregnancy [kg].

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 11 Macrosomia.
Figuras y tablas -
Analysis 5.11

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 11 Macrosomia.

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 12 Birthweight.
Figuras y tablas -
Analysis 5.12

Comparison 5 Automated telemedicine monitoring versus conventional, Outcome 12 Birthweight.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 1 Caesarean section.
Figuras y tablas -
Analysis 6.1

Comparison 6 Constant CGM versus intermittent CGM, Outcome 1 Caesarean section.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 2 Weight gain during pregnancy.
Figuras y tablas -
Analysis 6.2

Comparison 6 Constant CGM versus intermittent CGM, Outcome 2 Weight gain during pregnancy.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 3 Insulin dosage, 3rd trimester (IU/kg/day).
Figuras y tablas -
Analysis 6.3

Comparison 6 Constant CGM versus intermittent CGM, Outcome 3 Insulin dosage, 3rd trimester (IU/kg/day).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 4 Glycaemic control ‐ Maternal blood glucose (1st trimester).
Figuras y tablas -
Analysis 6.4

Comparison 6 Constant CGM versus intermittent CGM, Outcome 4 Glycaemic control ‐ Maternal blood glucose (1st trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 5 Glycaemic control ‐ Maternal blood glucose (3rd trimester).
Figuras y tablas -
Analysis 6.5

Comparison 6 Constant CGM versus intermittent CGM, Outcome 5 Glycaemic control ‐ Maternal blood glucose (3rd trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 6 Glycaemic control ‐ Maternal HbA1c (1st trimester).
Figuras y tablas -
Analysis 6.6

Comparison 6 Constant CGM versus intermittent CGM, Outcome 6 Glycaemic control ‐ Maternal HbA1c (1st trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 7 Glycaemic control ‐ Maternal HbA1c (3rd trimester).
Figuras y tablas -
Analysis 6.7

Comparison 6 Constant CGM versus intermittent CGM, Outcome 7 Glycaemic control ‐ Maternal HbA1c (3rd trimester).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 8 Maternal hypoglycemia.
Figuras y tablas -
Analysis 6.8

Comparison 6 Constant CGM versus intermittent CGM, Outcome 8 Maternal hypoglycemia.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 9 Diabetic ketoacidosis (not pre‐specified).
Figuras y tablas -
Analysis 6.9

Comparison 6 Constant CGM versus intermittent CGM, Outcome 9 Diabetic ketoacidosis (not pre‐specified).

Comparison 6 Constant CGM versus intermittent CGM, Outcome 10 Preterm birth < 37 weeks.
Figuras y tablas -
Analysis 6.10

Comparison 6 Constant CGM versus intermittent CGM, Outcome 10 Preterm birth < 37 weeks.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 11 Macrosomia.
Figuras y tablas -
Analysis 6.11

Comparison 6 Constant CGM versus intermittent CGM, Outcome 11 Macrosomia.

Comparison 6 Constant CGM versus intermittent CGM, Outcome 12 Neonatal hypoglycaemia.
Figuras y tablas -
Analysis 6.12

Comparison 6 Constant CGM versus intermittent CGM, Outcome 12 Neonatal hypoglycaemia.

Summary of findings for the main comparison. Continuous glucose monitoring compared to intermittent glucose monitoring for women with pre‐existing diabetes

Continuous glucose monitoring compared to intermittent glucose monitoring for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 1 study in a hospital centre for pregnant women with diabetes in Denmark, 1 study in two secondary care multi‐disciplinary obstetric diabetic clinics in the UK, 1 multi‐centre study in 31 hospital and diabetic clinics in Canada, England, Scotland, Spain, Italy, Ireland and the USA, and 1 multi‐centre study in 22 hospital outpatient obstetric and endocrinology clinics (university, teaching and non‐teaching in the Netherlands and 1 university hospital in Belgium).

Intervention: continuous glucose monitoring
Comparison: intermittent glucose monitoring

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with intermittent self‐glucose monitoring

Risk with continuous glucose monitoring

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

RR 0.58
(0.39 to 0.85)

384
(2 RCTs)

⊕⊕⊝⊝
LOW 1 2

292 per 1000

170 per 1000
(114 to 248)

Caesarean section

Study population

RR 0.94
(0.75 to 1.18)

427
(3 RCTs)

⊕⊕⊕⊝
MODERATE3

600 per 1000

564 per 1000
(450 to 708)

Large‐for‐gestational age

Study population

RR 0.84
(0.57 to 1.26)

421
(3 RCTs)

⊕⊕⊝⊝
LOW 4 5

546 per 1000

459 per 1000
(311 to 688)

Perinatal mortality (stillbirth and neonatal mortality)

Study population

RR 0.82
(0.05 to 12.61)

71
(1 RCT)

⊕⊕⊝⊝
LOW6

31 per 1000

26 per 1000
(2 to 394)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate. The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (1) level for serious limitations in study design due to unclear risk of allocation concealment and high risk for selective outcome reporting

2 We downgraded (1) level for serious indirectness due to the two studies reporting this composite outcome in different ways: Voormolen 2018 reported a composite of pregnancy‐induced hypertension and pre‐eclampsia for women with type 1 diabetes and type 2 diabetes for; and Feig 2017 reporting a composite of worsening chronic, gestational and pre‐eclampsia for women with type 1 diabetes

3 We downgraded (1) level for serious inconsistency due to evidence of statistical heterogeneity I2 = 41%

4 We downgraded (1) level for serious imprecision due to wide CI crossing the line of no effect

5 We downgraded (1) level for serious inconsistency due to evidence of statistical heterogeneity I2 = 70%

6 We downgrade (2) levels for very serious imprecision due to evidence derived from a single study, with a small number of events, wide CI crossing the line of no effect

Figuras y tablas -
Summary of findings for the main comparison. Continuous glucose monitoring compared to intermittent glucose monitoring for women with pre‐existing diabetes
Summary of findings 2. Self‐monitoring compared to a different type of self‐monitoring for women with pre‐existing diabetes

Self‐monitoring compared to standard care for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 1 study in a high‐risk obstetric clinic at University hospital in the USA
Intervention: self‐monitoring
Comparison: standard care

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with standard care

Risk with self‐monitoring

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

(0 studies)

The included study did not report this outcome.

Caesarean section

Study population

RR 0.78
(0.40 to 1.49)

28
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

643 per 1000

501 per 1000
(257 to 958)

Large‐for‐gestational age

Study population

(0 studies)

The included study did not report this outcome.

Perinatal mortality (stillbirth and neonatal mortality)

Study population

RR 3.00
(0.13 to 67.91)

28
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

There were no events in the standard care group and so anticipated absolute effects could not be calculated.

0 per 1000

0 per 1000
(0 to 0)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (1) level for serious limitations in design limitations due unclear allocation concealment and high risk for attrition

2 We downgraded (2) levels for very serious imprecision due to wide CI crossing the line of no effect, few events and small sample size

Figuras y tablas -
Summary of findings 2. Self‐monitoring compared to a different type of self‐monitoring for women with pre‐existing diabetes
Summary of findings 3. Self‐monitoring at home compared to hospitalisation for women with pre‐existing diabetes

Self‐monitoring compared to hospitalisation for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 1 study in Sweden with monitoring at home or in hospital
Intervention: self‐monitoring
Comparison: hospitalisation

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with hospitalisation

Risk with self‐monitoring

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

RR 1.19

(0.41 to 3.51)

100

(1 RCT)

⊕⊝⊝⊝
VERY LOW1 2

109 per 1000

129 per 1000

(45 to 381)

Caesarean section

Study population

RR 0.96
(0.65 to 1.44)

100
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

500 per 1000

480 per 1000
(325 to 720)

Large‐for‐gestational age

Study population

(0 studies)

The included study did not report this outcome.

Perinatal mortality (stillbirth and neonatal mortality)

Study population

RR 0.85
(0.05 to 13.24)

100
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

22 per 1000

18 per 1000
(1 to 288)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (1) level for serious limitations in study design due to unclear randomisation, allocation concealment and high risk for attrition

2 We downgraded (2) levels for very serious imprecision due to wide CI crossing the line of no effect, few events and small sample size

Figuras y tablas -
Summary of findings 3. Self‐monitoring at home compared to hospitalisation for women with pre‐existing diabetes
Summary of findings 4. Pre‐prandial compared to post‐prandial glucose monitoring for women with pre‐existing diabetes

Pre‐prandial compared to post‐prandial glucose monitoring for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 1 study in a joint metabolic and antenatal clinic in Belfast

Intervention: pre‐prandial
Comparison: post‐prandial glucose monitoring

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with post‐prandial glucose monitoring

Risk with pre‐prandial

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

(0 studies)

The included study did not report this composite outcome.

Caesarean section

Study population

RR 1.45
(0.92 to 2.28)

61
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

467 per 1000

677 per 1000
(429 to 1000)

Large‐for‐gestational age

Study population

RR 1.16
(0.73 to 1.85)

61
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

500 per 1000

580 per 1000
(365 to 925)

Perinatal mortality (stillbirth and neonatal mortality)

Study population

RR 2.91
(0.12 to 68.66)

61
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

There were no events in the standard care group and so anticipated absolute effects could not be calculated.

0 per 1000

0 per 1000
(0 to 0)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (1) level for serious limitations in study design due to unclear methods of randomisation and high risk of attrition

2 We downgrade (2) levels for very serious limitations in imprecision due to wide CI crossing the line of no effect, few events and small sample size

Figuras y tablas -
Summary of findings 4. Pre‐prandial compared to post‐prandial glucose monitoring for women with pre‐existing diabetes
Summary of findings 5. Automated telemedicine monitoring compared to conventional for women with pre‐existing diabetes

Automated telemedicine monitoring compared to conventional for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 2 studies in antenatal diabetic clinics in Italy, 1 study in gastroenterology and metabolic diseases clinic in Poland
Intervention: automated telemedicine monitoring
Comparison: conventional monitoring

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with conventional monitoring

Risk with automated telemedicine monitoring

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

(0 studies)

The included studies did not report this composite outcome.

Caesarean section

Study population

RR 0.96
(0.62 to 1.48)

32
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

733 per 1000

704 per 1000
(455 to 1000)

Large‐for‐gestational age

Study population

(0 studies)

The included studies did not report this outcome.

Perinatal mortality (stillbirth and neonatal mortality)

Study population

(0 studies)

The included studies did not report this outcome.

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (2) levels for very serious design limitations due to high risk for randomisation, allocation concealment, attrition and other bias

2 We downgraded (2) levels for very serious imprecision due to wide CI crossing the line of no effect, few events and small sample size

Figuras y tablas -
Summary of findings 5. Automated telemedicine monitoring compared to conventional for women with pre‐existing diabetes
Summary of findings 6. Constant CGM compared to Intermittent CGM for women with pre‐existing diabetes

Constant CGM compared to Intermittent CGM for women with pre‐existing diabetes

Patient or population: women with pre‐existing diabetes
Setting: 1 study in University clinic of endocrinology, diabetes and metabolic disorders in Macedonia
Intervention: constant CGM
Comparison: intermittent CGM

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with Intermittent CGM

Risk with constant CGM

Hypertensive disorders of pregnancy (including pre‐eclampsia, pregnancy‐induced hypertension, eclampsia)

Study population

(0 studies)

The included study did not report this outcome.

Caesarean section

Study population

RR 0.77
(0.33 to 1.79)

25
(1 RCT)

⊕⊝⊝⊝
VERY LOW 1 2

538 per 1000

415 per 1000
(178 to 964)

Large‐for‐gestational age

Study population

(0 studies)

The included study did not report this outcome.

Perinatal mortality (stillbirth and neonatal mortality)

Study population

(0 studies)

The included study did not report this outcome.

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RCT: randomised controlled trial; RR: Risk ratio

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded (1) level for serious limitations in design due to unclear randomisation and allocation concealment

2 We downgraded (2) levels for very serious limitations in imprecision due to wide CI crossing the line of no effect, few events and small sample size

Figuras y tablas -
Summary of findings 6. Constant CGM compared to Intermittent CGM for women with pre‐existing diabetes
Comparison 1. Continuous glucose monitoring versus intermittent glucose monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Hypertensive disorders of pregnancy Show forest plot

2

384

Risk Ratio (M‐H, Fixed, 95% CI)

0.58 [0.39, 0.85]

2 Caesarean section Show forest plot

3

427

Risk Ratio (M‐H, Random, 95% CI)

0.94 [0.75, 1.18]

3 Large‐for‐gestational age Show forest plot

3

421

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.57, 1.26]

4 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

71

Risk Ratio (M‐H, Fixed, 95% CI)

0.82 [0.05, 12.61]

5 Mortality or morbidity composite (pregnancy loss (miscarriage, stillbirth, and neonatal death); birth injury; neonatal glycaemia; hyperbilirubinaemia; respiratory distress; and high level neonatal care of more than 24 hours) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.80 [0.61, 1.06]

6 Pre‐eclampsia Show forest plot

4

609

Risk Ratio (M‐H, Fixed, 95% CI)

0.65 [0.39, 1.08]

7 Pregnancy‐induced hypertension Show forest plot

2

384

Risk Ratio (M‐H, Fixed, 95% CI)

0.67 [0.38, 1.16]

8 Behaviour changes associated with the intervention (range of score 10‐50 ‐ high score= greater fear of hypoglycaemia) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

1.00 [‐1.06, 3.06]

9 Sense of well‐being and quality of life (Short form 12 (SF‐12), total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐2.50, 1.10]

10 Sense of well‐being and quality of life (Problem areas in diabetes (PAID), total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

0.80 [‐3.06, 4.66]

11 Sense of well‐being and quality of life (BGMSRQ, total score at 34 weeks' gestation) Show forest plot

1

214

Mean Difference (IV, Fixed, 95% CI)

4.30 [0.73, 7.87]

12 Glycaemic control ‐ Maternal HbA1c Show forest plot

2

258

Mean Difference (IV, Random, 95% CI)

‐0.37 [‐0.78, 0.04]

13 Glycaemic control ‐ Achieved maternal HbA1c <= 6.5% (48 mmol/mol) at 34 weeks Show forest plot

1

187

Risk Ratio (M‐H, Fixed, 95% CI)

1.27 [1.00, 1.62]

14 Maternal hypoglycaemia (severe) Show forest plot

1

154

Risk Ratio (M‐H, Fixed, 95% CI)

0.92 [0.43, 1.95]

15 Miscarriage Show forest plot

3

439

Risk Ratio (M‐H, Fixed, 95% CI)

1.24 [0.47, 3.26]

16 Stillbirth Show forest plot

1

211

Risk Ratio (M‐H, Fixed, 95% CI)

0.34 [0.01, 8.17]

17 Neonatal mortality Show forest plot

2

256

Risk Ratio (M‐H, Fixed, 95% CI)

0.92 [0.13, 6.37]

18 Gestational age at birth Show forest plot

1

68

Mean Difference (IV, Fixed, 95% CI)

0.10 [‐0.57, 0.77]

19 Preterm birth < 37 weeks Show forest plot

3

430

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.72, 1.29]

20 Preterm birth < 34 weeks Show forest plot

1

211

Risk Ratio (M‐H, Fixed, 95% CI)

0.46 [0.17, 1.28]

21 Macrosomia Show forest plot

3

451

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.61, 1.17]

22 Birthweight Show forest plot

2

267

Mean Difference (IV, Random, 95% CI)

‐0.13 [‐0.38, 0.12]

23 Small‐for‐gestational age Show forest plot

2

269

Risk Ratio (M‐H, Fixed, 95% CI)

2.40 [0.55, 10.51]

24 Head circumference (cm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.79, 0.39]

25 Length (crown‐heel length cm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.79, 0.39]

26 Adiposity (sum of 4 skin folds (tricepts, subscapular, biceps, flank) mm) Show forest plot

1

160

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐1.98, 1.58]

27 Shoulder dystocia Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.12, 72.77]

28 Respiratory distress syndrome Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.41, 2.41]

29 Neonatal hypoglycaemia Show forest plot

3

428

Risk Ratio (M‐H, Fixed, 95% CI)

0.66 [0.48, 0.93]

30 Neonatal hyperbilirubinaemia Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.81 [0.52, 1.26]

31 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 566 pmol/L) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.95 [0.68, 1.33]

32 Relevant biomarker changes associated with the intervention (cord blood c‐peptide levels > 2725 pmol/L) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.33, 3.00]

33 Major and minor anomalies Show forest plot

2

285

Risk Ratio (M‐H, Fixed, 95% CI)

0.71 [0.16, 3.13]

34 Number of hospital admissions (mother) Show forest plot

1

207

Risk Ratio (M‐H, Fixed, 95% CI)

1.25 [0.84, 1.85]

35 Neonatal intensive care unit admissions Show forest plot

2

274

Risk Ratio (M‐H, Random, 95% CI)

0.76 [0.42, 1.35]

36 Neonatal intensive care unit length of admission > 24 hours Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

0.63 [0.42, 0.93]

37 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) Show forest plot

1

200

Risk Ratio (M‐H, Fixed, 95% CI)

5.0 [0.24, 102.85]

38 Diabetic ketoacidosis (mother) Show forest plot

1

207

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.14, 7.03]

Figuras y tablas -
Comparison 1. Continuous glucose monitoring versus intermittent glucose monitoring
Comparison 2. Self‐monitoring versus different type of self monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.78 [0.40, 1.49]

2 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

3 Glycaemic control during/end of treatment (maternal post‐prandial blood glucose) Show forest plot

1

13

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐2.15, 0.75]

4 Glycaemic control during/end of treatment (maternal HbA1c) Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

‐0.10 [‐1.93, 1.73]

5 Miscarriage Show forest plot

1

30

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.07, 14.55]

6 Neonatal mortality Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

7 Gestational age at birth Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

0.40 [‐1.65, 2.45]

8 Birthweight Show forest plot

2

41

Mean Difference (IV, Fixed, 95% CI)

‐0.18 [‐0.49, 0.13]

9 Respiratory distress syndrome Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

3.0 [0.13, 67.91]

10 Neonatal hypoglycaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.57 [0.21, 1.52]

11 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.56 [0.25, 1.24]

12 Neonatal hypocalcaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.07, 14.45]

13 Neonatal polycythaemia Show forest plot

1

28

Risk Ratio (M‐H, Fixed, 95% CI)

0.33 [0.01, 7.55]

14 Neonatal cord vein C‐peptide Show forest plot

1

28

Mean Difference (IV, Fixed, 95% CI)

0.13 [‐0.50, 0.76]

Figuras y tablas -
Comparison 2. Self‐monitoring versus different type of self monitoring
Comparison 3. Self‐monitoring at home versus hospitalisation

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Hypertensive disorders of pregnancy Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.19 [0.41, 3.51]

2 Caesarean section Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.65, 1.44]

3 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.05, 13.24]

4 Pre‐eclampsia Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

4.26 [0.52, 35.16]

5 Pregnancy‐induced hypertension Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.43 [0.08, 2.22]

6 Placental abruption Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.70 [0.16, 18.19]

7 Preterm birth < 37 weeks Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.45, 1.60]

8 Respiratory distress syndrome Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

2.56 [0.28, 23.74]

9 Neonatal hypoglycaemia Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.50, 2.03]

10 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

2.27 [0.64, 8.07]

11 Major anomalies Show forest plot

1

102

Risk Ratio (M‐H, Fixed, 95% CI)

0.27 [0.03, 2.54]

12 Antenatal hospital admission Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.19 [0.11, 0.33]

13 Feeding difficulties (not pre‐specified) Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.85 [0.41, 1.78]

Figuras y tablas -
Comparison 3. Self‐monitoring at home versus hospitalisation
Comparison 4. Pre‐prandial versus post‐prandial glucose monitoring

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.45 [0.92, 2.28]

2 Large‐for‐gestational age Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.16 [0.73, 1.85]

3 Perinatal mortality (stillbirth and neonatal mortality) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.91 [0.12, 68.66]

4 Pre‐eclampsia Show forest plot

1

58

Risk Ratio (M‐H, Fixed, 95% CI)

6.43 [0.82, 50.11]

5 Weight gain during pregnancy Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.90 [‐3.86, 2.06]

6 Insulin dose Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐17.40 [‐43.41, 8.61]

7 Glycaemic control ‐ Insulin dose Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.45, 0.05]

8 Glycaemic control ‐ HbA1c Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.30 [‐0.08, 0.68]

9 Stillbirth Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.91 [0.12, 68.66]

10 Gestational age at birth Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.20 [‐0.84, 1.24]

11 Preterm birth < 37 weeks Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.33 [0.62, 2.84]

12 Macrosomia Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.18 [0.75, 6.32]

13 Birthweight Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.24 [‐0.10, 0.58]

14 Adiposity ‐ Subscapula skinfold thickness Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.60 [‐0.18, 1.38]

15 Adiposity ‐ Triceps skinfold thickness Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

0.60 [0.04, 1.16]

16 Birth trauma (shoulder dystocia, bone fracture, nerve palsy) (not pre‐specified as a composite) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

0.48 [0.05, 5.06]

17 Respiratory distress syndrome Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

0.97 [0.06, 14.78]

18 Neonatal hypoglycaemia Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.09 [0.48, 2.45]

19 Neonatal jaundice (hyperbilirubinaemia) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

1.16 [0.40, 3.40]

20 Cord IGF‐1 Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

1.30 [‐0.70, 3.30]

21 Neonatal glucose at age 1 hour (not pre‐specified) Show forest plot

1

61

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.88, 0.48]

22 Transient tachypnea (not pre‐specified) Show forest plot

1

61

Risk Ratio (M‐H, Fixed, 95% CI)

2.58 [0.76, 8.81]

23 Neonatal intensive care admissions Show forest plot

1

59

Risk Ratio (M‐H, Fixed, 95% CI)

1.04 [0.62, 1.74]

Figuras y tablas -
Comparison 4. Pre‐prandial versus post‐prandial glucose monitoring
Comparison 5. Automated telemedicine monitoring versus conventional

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

0.96 [0.62, 1.48]

2 Neonatal morbidity composite Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.18 [0.53, 2.62]

3 Gestational age at birth Show forest plot

3

84

Mean Difference (IV, Fixed, 95% CI)

0.24 [‐0.39, 0.88]

4 Use of additional insulin therapy Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.0 [0.89, 1.12]

5 Insulin requirement at end of study Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

18.4 [12.88, 23.92]

6 Glycaemic control ‐ Maternal fasting blood glucose: before breakfast Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.0 [‐1.22, ‐0.78]

7 Glycaemic control ‐ Maternal fasting blood glucose: before lunch Show forest plot

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.10 [‐1.32, ‐0.88]

8 Glycaemic control ‐ Maternal HbA1c Show forest plot

3

82

Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.82, 0.48]

9 Glycaemic control ‐ Maternal post‐prandial blood glucose Show forest plot

2

50

Mean Difference (IV, Random, 95% CI)

‐0.80 [‐1.67, 0.08]

10 Weight gain during pregnancy [kg] Show forest plot

1

32

Mean Difference (IV, Fixed, 95% CI)

‐0.70 [‐4.95, 3.55]

11 Macrosomia Show forest plot

1

32

Risk Ratio (M‐H, Fixed, 95% CI)

1.18 [0.31, 4.43]

12 Birthweight Show forest plot

1

32

Mean Difference (IV, Fixed, 95% CI)

‐0.16 [‐0.64, 0.32]

Figuras y tablas -
Comparison 5. Automated telemedicine monitoring versus conventional
Comparison 6. Constant CGM versus intermittent CGM

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.77 [0.33, 1.79]

2 Weight gain during pregnancy Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

0.5 [‐1.82, 2.82]

3 Insulin dosage, 3rd trimester (IU/kg/day) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.03 [‐1.30, 1.24]

4 Glycaemic control ‐ Maternal blood glucose (1st trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.5 [‐2.70, 1.70]

5 Glycaemic control ‐ Maternal blood glucose (3rd trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.14 [‐2.00, 1.72]

6 Glycaemic control ‐ Maternal HbA1c (1st trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.30 [‐1.13, 0.53]

7 Glycaemic control ‐ Maternal HbA1c (3rd trimester) Show forest plot

1

25

Mean Difference (IV, Fixed, 95% CI)

‐0.09 [‐0.69, 0.51]

8 Maternal hypoglycemia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.54 [0.06, 5.24]

9 Diabetic ketoacidosis (not pre‐specified) Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.36 [0.02, 8.05]

10 Preterm birth < 37 weeks Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.08, 15.46]

11 Macrosomia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.08, 15.46]

12 Neonatal hypoglycaemia Show forest plot

1

25

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

Figuras y tablas -
Comparison 6. Constant CGM versus intermittent CGM