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Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia

Appendices

Appendix 1. Glossary of terms

Abbreviation

Explanation

ADA

American Diabetes Association

ALAT

Alanine aminotransferase

ASAT

Aspartate transaminase

BG

Blood glucose

BMI

Body mass index

BW

Body weight

CI

Confidence interval

FG

Fasting glucose

FBG

Fasting blood glucose

FINDRISC

Finnish Diabetes Risk Score

FPG

Fasting plasma glucose

G6PD

Glucose‐6‐P‐dehydrogenase test

HbA1c

Glycosylated haemoglobin A1c

HbA1c5.7

Intermediate hyperglycaemia with HbA1c level 5.7%‐6.4% at baseline (HbA1c 5.7% threshold)

HbA1c6.0

Intermediate hyperglycaemia with HbA1c level 6.0%‐6.4% at baseline (HbA1c 6.0% threshold)

h‐CRP

High‐sensitivity C‐reactive protein

HOMA‐B(eta)

Homeostatic model assessment beta‐cell function

HOMA‐IR

Homeostatic model assessment for insulin resistance

HR

Hazard ratio

ICTRP

International Clinical Trials Registry Platform

IEC

International Expert Committee

IFG

Impaired fasting glucose

IFG5.6

Intermediate hyperglycaemia with impaired fasting plasma glucose level 5.6–6.9 mmol/L at baseline (IFG 5.6 mmol/L threshold)

IFG6.1

Intermediate hyperglycaemia with impaired fasting plasma glucose level 6.1–6.9 mmol/L at baseline (IFG 6.1 mmol/L threshold)

IFG/IGT

Combination of both IFG and IGT

i‐IFG

Isolated IFG

IGT

Impaired glucose tolerance (intermediate hyperglycaemia defined by IGT: plasma glucose 7.8–11.1 mmol/L 2 hours after a 75 g OGTT at baseline)

i‐IGT

Isolated IGT

IQR

Interquartile range

IRR

Incidence rate ratio

JDS

Japanese Diabetes Society

M

Men

NCEP

National cholesterol education program

NDDG

National Diabetes Data Group

NGSP

National Glycohemoglobin Standardization Program

NGT

Normal glucose tolerance

OGTT

Oral glucose tolerance test

OR

Odds ratio

PG

Postload glucose

QUIPS

Quality In Prognosis Studies tool

ROC

Receiver operating characteristics

RR

Risk ratio, relative risk

SD

Standard deviation

SE

Standard error

T2DM

Type 2 diabetes mellitus

W

Women

WHO

World Health Organization

γ‐GT

Gamma‐glutamyl transferase/transpeptidase

Appendix 2. Search strategies

Search strategy overview

Tier 1: prediabetes as predictor for CVD, mortality, stroke, cancer, micro/macrovascular complications

(

1. Population block (prediabetes AND prognosis filter)

OR

2. Prediabetes risk factors / diagnostic criteria block ((IFG, IGT, HbA1c) ADJ6 prognosis terms)

)

AND

3. Outcomes block (diabetes complications, micro/macrovascular, mortality)

Tier 2: prediabetes as predictor for diabetes incidence

(

1. Population block (prediabetes AND prognosis filter)

OR

2. Prediabetes risk factors / diagnostic criteria block ((IFG, IGT, HbA1c) ADJ6 prognosis terms)

)

AND

3. Outcomes block (diabetes incidence)

MEDLINE (Ovid SP)

Whole strategy (combining tier 1: 'prediabetes' as predictor for cardiovascular disease, mortality, stroke, cancer, micro/macrovascular complications and tier 2: 'prediabetes' as predictor for diabetes incidence)

1. Prediabetic state/

2. (prediabet* or pre diabet*).tw.

3. intermediate hyperglyc?emi*.tw.

4. or/1‐3

5. incidence.sh. or exp mortality/ or follow‐up studies.sh. or prognos*.tw. or predict*.tw. or course*.tw. [Wilczynski 2004: MEDLINE prognosis filter sensitivity maximizing]

6. prognosis/ or diagnosed.tw. or cohort*.mp. or predictor*.tw. or death.tw. or exp models, statistical/ [Wilczynski 2004: MEDLINE prognosis filter best balance]

7. or/5‐6

8. 4 and 7 [population block (prediabetes + prognosis filter)]

9. ((impaired fasting adj2 glucose) or IFG or (impaired adj FPG)).tw.

10. (impaired glucose tolerance or IGT).tw.

11. ("HbA(1c)" or HbA1 or HbA1c or "HbA 1c" or ((glycosylated or glycated) adj h?emoglobin)).tw.

12. or/9‐11

13. (predict* or associa* or prognos*).tw.

14. ((prognostic or predict*) adj2 model?).tw.

15. predictive value?.tw.

16. (risk adj (predict* or factor? or score)).tw.

17. or/13‐16

18. (((impaired fasting adj2 glucose) or IFG or "impaired FPG" or impaired glucose tolerance or IGT or "HbA(1c)" or HbA1 or HbA1c or "HbA 1c" or ((glycosylated or glycated) adj h?emoglobin)) adj3 (predict* or associa* or prognos* or ((prognostic or predict*) adj2 model?) or predictive value? or (risk adj (predict* or factor? or score)))).tw. [12 adj3 17 // risk factor block]

19. 8 or 18 [block 1 or block 2]

20. complication?.tw.

21. mortality.tw.

22. (CHD or CVD).tw.

23. (coronary adj2 disease).tw.

24. (coronar* adj (event? or syndrome?)).tw.

25. (heart adj (failure or disease? or attack? or infarct*)).tw.

26. (myocardial adj (infarct* or isch?emi*)).tw.

27. cardiac failure.tw.

28. angina.tw.

29. revasculari*.tw.

30. (stroke or strokes).tw.

31. cerebrovascular.tw.

32. ((brain* or cerebr*) adj (infarct* or isch?emi*)).tw.

33. apoplexy.tw.

34. ((vascular or peripheral arter*) adj disease?).tw.

35. cardiovascular.tw.

36. (neuropath* or polyneuropath*).tw.

37. (retinopath* or maculopath*).tw.

38. (nephropath* or nephrotic or proteinuri* or albuminuri*).tw.

39. ((kidney or renal) adj (disease? or failure or transplant*)).tw.

40. ((chronic or endstage or end stage) adj (renal or kidney)).tw.

41. (CRD or CRF or CKF or CRF or CKD or ESKD or ESKF or ESRD or ESRF).tw.

42. (microvascular or macrovascular or ((micro or macro) adj vascular)).tw.

43. (cancer or carcino* or neoplas* or tumo?r?).tw.

44. (amputation? or ulcer* or foot or feet or wound*).tw.

45. or/20‐44 [tier 1 strategy outcomes block]

46. 19 and 45

47. ((diabet* or type 2 or type II or T2D*) adj4 (progress* or inciden* or conversion or develop* or future)).tw. [tier 2 strategy outcomes block]

48. 19 and 47

49. 46 or 48

50. exp animals/ not humans/

51. 49 not 50

52. (gestational or PCOS).tw.

53. 51 not 52

54. (comment or letter or editorial).pt.

55. 53 not 54

56. remove duplicates from 55

Embase (Ovid SP)

Whole strategy (combining tier 1: 'prediabetes' as predictor for cardiovascular disease, mortality, stroke, cancer, micro/macrovascular complications and tier 2: 'prediabetes' as predictor for diabetes incidence)

1. (prediabet* or pre diabet*).tw.

2. intermediate hyperglyc?emi*.tw.

3. or/1‐2

4. exp disease course or risk*.mp. or diagnos*.mp. or follow‐up.mp. or ep.fs. or outcome.tw. [Wilczynski 2005: Embase prognosis filter sensitivity maximizing]

5. follow‐up.mp. or prognos*.tw. or ep.fs. [Wilczynski 2005: Embase prognosis filter best balance]

6. or/4‐5

7. 3 and 6 [population block (prediabetes + prognosis filter)]

8. ((impaired fasting adj2 glucose) or IFG or (impaired adj FPG)).tw.

9. (impaired glucose tolerance or IGT).tw.

10. ("HbA(1c)" or HbA1 or HbA1c or "HbA 1c" or ((glycosylated or glycated) adj h?emoglobin)).tw.

11. or/8‐10

12. (predict* or associa* or prognos*).tw.

13. ((prognostic or predict*) adj2 model?).tw.

14. predictive value?.tw.

15. (risk adj (predict* or factor? or score)).tw.

16. or/12‐15

17. (((impaired fasting adj2 glucose) or IFG or "impaired FPG" or impaired glucose tolerance or IGT or "HbA(1c)" or HbA1 or HbA1c or "HbA 1c" or ((glycosylated or glycated) adj h?emoglobin)) adj3 (predict* or associa* or prognos* or ((prognostic or predict*) adj2 model?) or predictive value? or (risk adj (predict* or factor? or score)))).tw. [12 adj3 17 // risk factor block]

18. 7 or 17 [block 1 or block 2]

19. complication?.tw.

20. mortality.tw.

21. (CHD or CVD).tw.

22. (coronary adj2 disease).tw.

23. (coronar* adj (event? or syndrome?)).tw.

24. (heart adj (failure or disease? or attack? or infarct*)).tw.

25. (myocardial adj (infarct* or isch?emi*)).tw.

26. cardiac failure.tw.

27. angina.tw.

28. revasculari*.tw.

29. (stroke or strokes).tw.

30. cerebrovascular.tw.

31. ((brain* or cerebr*) adj (infarct* or isch?emi*)).tw.

32. apoplexy.tw.

33. ((vascular or peripheral arter*) adj disease?).tw.

34. cardiovascular.tw.

35. (neuropath* or polyneuropath*).tw.

36. (retinopath* or maculopath*).tw.

37. (nephropath* or nephrotic or proteinuri* or albuminuri*).tw.

38. ((kidney or renal) adj (disease? or failure or transplant*)).tw.

39. ((chronic or endstage or end stage) adj (renal or kidney)).tw.

40. (CRD or CRF or CKF or CRF or CKD or ESKD or ESKF or ESRD or ESRF).tw.

41. (microvascular or macrovascular or ((micro or macro) adj vascular)).tw.

42. (cancer or carcino* or neoplas* or tumo?r?).tw.

43. (amputation? or ulcer* or foot or feet or wound*).tw.

44. or/19‐43 [tier 1 strategy outcomes block]

45. 18 and 44

46. ((diabet* or type 2 or type II or T2D*) adj4 (progress* or inciden* or conversion or develop* or future)).tw. [tier 2 strategy outcomes block]

47. 18 and 46

48. 45 or 47

[49‐53: TSC Portal filter for exclusion of animal references]

49. exp animals/ or exp invertebrate/ or animal experiment/ or animal model/ or animal tissue/ or animal cell/ or nonhuman/

50. human/ or normal human/ or human cell/

51. 49 and 50

52. 49 not 51

53. 48 not 52

54. (gestational or PCOS).tw.

55. 53 not 54

56. (comment or letter or editorial or conference).pt.

57. 55 not 56

58. remove duplicates from 57

ClinicalTrials.gov (Expert search)

( prediabetes OR prediabetic OR "pre diabetes" OR "pre diabetic" OR "intermediate hyperglycemia" OR "intermediate hyperglycaemia" OR "intermediate hyperglycemic" OR "intermediate hyperglycaemic" OR "impaired glucose tolerance" OR "impaired fasting glucose" ) AND ( complication OR complications OR mortality OR CHD OR CVD OR coronary OR heart OR myocardial OR infarct OR infarction OR infarcts OR infarctions OR ischemia OR ischemic OR ischaemia OR ischaemic OR failure OR angina OR revascularization OR revascularisation OR revascularizations OR revascularisations OR stroke OR strokes OR cerebrovascular OR apoplexy OR vascular or peripheral OR cardiovascular OR neuropathy OR neuropathies OR polyneuropathy OR polyneuropathies OR retinopathy OR retinopathies OR maculopathy OR maculopathies OR nephropathy OR nephropathies OR nephrotic OR proteinuria OR proteinuric OR albuminuria OR kidney OR renal OR CRD OR CRF OR CKF OR CRF OR CKD OR ESKD OR ESKF OR ESRD OR ESRF OR microvascular OR macrovascular OR "micro vascular" OR "macro vascular" OR cancer OR carcinoma OR neoplasm OR neoplasms OR tumor OR tumors OR tumour OR tumours OR amputation OR amputations OR ulcer OR foot OR feet OR wounds OR ( diabetes OR diabetic OR "type 2" OR "type II" OR T2D OR T2DM ) AND ( progress OR progression OR progressed OR incident OR incidence OR conversion OR developed OR development OR future ) ) [OUTCOME]

ICTRP Search Portal (Standard search)

prediabet* AND prognos* OR

prediabet* AND predict* OR

prediabet* AND inciden* OR

prediabet* AND mortality OR

prediabet* AND prevent* OR

prediabet* AND progress* OR

prediabet* AND develop* OR

pre diabet* AND prognos* OR

pre diabet* AND predict* OR

pre diabet* AND inciden* OR

pre diabet* AND mortality OR

pre diabet* AND prevent* OR

pre diabet* AND progress* OR

pre diabet* AND develop* OR

impaired glucose tolerance AND prognos* OR

impaired glucose tolerance AND predict* OR

impaired glucose tolerance AND inciden* OR

impaired glucose tolerance AND mortality OR

impaired glucose tolerance AND prevent* OR

impaired glucose tolerance AND progress* OR

impaired glucose tolerance AND develop* OR

impaired fasting glucose AND prognos* OR

impaired fasting glucose AND predict* OR

impaired fasting glucose AND inciden* OR

impaired fasting glucose AND mortality OR

impaired fasting glucose AND prevent* OR

impaired fasting glucose AND progress* OR

impaired fasting glucose AND develop* OR

HbA* AND prognos* OR

HbA* AND predict* OR

HbA* AND inciden* OR

HbA* AND mortality OR

HbA* AND prevent* OR

HbA* AND progress* OR

HbA* AND develop*

Seed publications (for PubMed's 'similar articles'‐algorithm)

24355200[PMID] OR 16873795[PMID] OR 9705020[PMID] OR 25906786[PMID] OR 9363520[PMID] OR 21278140[PMID] OR 21676480[PMID] OR 21300382[PMID] OR 10862313[PMID] OR 18689695[PMID] OR 27596059[PMID] OR 12397006[PMID] OR 18673544[PMID] OR 21307378[PMID] OR 15220202[PMID] OR 22647753[PMID] OR 28258520[PMID] OR 10663216[PMID] OR 20573752[PMID] OR 20622160[PMID] OR 9300248[PMID] OR 2060716[PMID] OR 27459384[PMID] OR 12757990[PMID] OR 10414941[PMID] OR 21335372[PMID] OR 9653617[PMID] OR 20073428[PMID] OR 17309402[PMID] OR 17315136[PMID] OR 14025561[PMID] OR 10466767[PMID] OR 26273669[PMID] OR 28698884[PMID] OR 11311100[PMID] OR 14710970[PMID] OR 27933333[PMID] OR 27543801[PMID] OR 2035513[PMID] OR 12062857[PMID] OR 11978676[PMID] OR 11679461[PMID] OR 19224196[PMID] OR 14693710[PMID] OR 28278309[PMID] OR 17257284[PMID] OR 7859632[PMID] OR 2689122[PMID] OR 10937506[PMID] OR 27515749[PMID] OR 20484131[PMID] OR 26675051[PMID] OR 8866565[PMID] OR 17032347[PMID] OR 11686540[PMID] OR 26606421[PMID] OR 18282630[PMID] OR 8635647[PMID] OR 9243105[PMID] OR 8886564[PMID] OR 7589843[PMID] OR 9028719[PMID] OR 2407581[PMID] OR 28751960[PMID] OR 2912042[PMID] OR 28043048[PMID] OR 11916954[PMID] OR 16344402[PMID] OR 19531260[PMID] OR 19414206[PMID] OR 1216390[PMID] OR 22456865[PMID] OR 22510023[PMID] OR 22955996[PMID] OR 21705064[PMID] OR 21212932[PMID] OR 28768835[PMID] OR 9162608[PMID] OR 17000944[PMID] OR 25814432[PMID] OR 9406673[PMID] OR 11110508[PMID] OR 27740930[PMID] OR 24843430[PMID] OR 16518992[PMID] OR 18486512[PMID] OR 29133894[PMID] OR 29380232[PMID] OR 8894485[PMID] OR 28951335[PMID] OR 5226858[PMID] OR 27368062[PMID] OR 16100444[PMID] OR 15223223[PMID] OR 18452257[PMID] OR 27085081[PMID] OR 25245975[PMID] OR 6706044[PMID] OR 20827664[PMID] OR 20536946[PMID] OR 11606173[PMID] OR 10587859[PMID] OR 14967156[PMID] OR 7782724[PMID] OR 9754834[PMID] OR 11079739[PMID] OR 28004008[PMID] OR 17320447[PMID] OR 11772900[PMID] OR 2260546[PMID] OR 26885316[PMID] OR 25215305[PMID] OR 29074816[PMID] OR 18206734[PMID] OR 12590020[PMID] OR 26575606[PMID] OR 22640983[PMID] OR 24135387[PMID] OR 26840038[PMID] OR 24992623[PMID] OR 18485514[PMID] OR 27749572[PMID] OR 14578254[PMID] OR 15616025[PMID] OR 7748921[PMID] OR 17989310[PMID] OR 28371687[PMID] OR 8112189[PMID] OR 12610034[PMID] OR 12765960[PMID] OR 11784224[PMID] OR 9829346[PMID] OR 6702817[PMID] OR 3516770[PMID] OR 18697630[PMID] OR 11437858[PMID] OR 8612442[PMID] OR 8070301[PMID] OR 8454106[PMID] OR 9203444[PMID] OR 12519316[PMID] OR 19414203[PMID] OR 8335178[PMID] OR 1892482[PMID] OR 2261821[PMID] OR 27515716[PMID] OR 15036828[PMID] OR 15983331[PMID] OR 8875091[PMID] OR 8720611[PMID] OR 3751746[PMID] OR 20508383[PMID] OR 17914548[PMID] OR 7497867[PMID] OR 16600415[PMID] OR 23283714[PMID] OR 21738002[PMID] OR 8922541[PMID] OR 25624343[PMID] OR 7481176[PMID] OR 12414877[PMID] OR 11106838[PMID] OR 3527626[PMID] OR 17143605[PMID] OR 18060659[PMID] OR 12627316[PMID] OR 20002472[PMID] OR 17259503[PMID] OR 11068083[PMID] OR 29018885[PMID] OR 3054559[PMID] OR 25350916[PMID] OR 21107436[PMID] OR 7075915[PMID] OR 19131461[PMID] OR 17536075[PMID] OR 18316395[PMID] OR 2752891[PMID] OR 20855549[PMID] OR 20200384[PMID] OR 23497506[PMID] OR 24083174[PMID] OR 10097917[PMID] OR 9405904[PMID] OR 3542644[PMID] OR 20978739[PMID] OR 15189364[PMID] OR 25962707[PMID] OR 27239315[PMID] OR 18226046[PMID] OR 12777437[PMID] OR 12582008[PMID] OR 8314414[PMID] OR 8482427[PMID] OR 6507426[PMID] OR 18535192[PMID] OR 10333940[PMID] OR 16990660[PMID] OR 19046200[PMID] OR 10812323[PMID] OR 10480514[PMID] OR 17536076[PMID] OR 18249214[PMID] OR 20934897[PMID] OR 28632742[PMID] OR 27810987[PMID] OR 18405128[PMID] OR 8680609[PMID] OR 20578203[PMID] OR 16720024[PMID] OR 15451912[PMID] OR 15533586[PMID] OR 21270194[PMID] OR 10333943[PMID] OR 27863979[PMID] OR 11781759[PMID] OR 15175438[PMID] OR 15793193[PMID] OR 11194248[PMID] OR 26913636[PMID] OR 7712700[PMID] OR 14578234[PMID] OR 21718910[PMID] OR 15161800[PMID]

Appendix 3. QUIPS tool signalling questions

Study ID

Signalling question

Authors' judgement for 'yes'

Study participation: yes/noa/unclearb/NAc

a. Adequate participation in the study by eligible people

NA: usually participants with information on glycaemic status and follow‐up data providing information on development of type 2 diabetes are selected from a greater study cohort (e.g. study evaluating several cardiovascular risk factors)

b. Description of the source population or population of interest

Source population for cohort with intermediate hyperglycaemia is clearly described

c. Description of the baseline study sample

Number of people with intermediate hyperglycaemia at baseline is clearly described

d. Adequate description of the sampling frame and recruitment

Way of establishing the source population, selection criteria and key characteristics of the source population clearly described

e. Adequate description of the period and place of recruitment

Time period and place of recruitment for both baseline and follow‐up examinations are clearly described

f. Adequate description of inclusion and exclusion criteria

Definiton of people with normoglycaemia, intermediate hyperglycaemia or diabetes mellitus and description of other inclusion and exclusion criteria

Study participation: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

Study attrition: yes/no/unclear/NA

a. Adequate response rate for study participants

NA: usually participants with information on glycaemic status and follow‐up data providing information on development of type 2 diabetes are selected from a greater study cohort (e.g. study evaluating several cardiovascular risk factors)

b. Attempts to collect information on participants who dropped out described

Attempts to collect information on participants who dropped out are described (e.g. telephone contact, mail, registers)

c. Reasons for loss to follow‐up provided

Reasons on participants who dropped out are available (e.g. deceased participants between baseline and follow‐up, participants moving to another location)

d. Adequate description of participants lost to follow‐up

Key characteristics of participants lost to follow‐up are described (age, sex, glucose status at baseline, body mass index)

e. No important differences between participants who completed the study and those who did not

Study authors described differences between participants completing the study and those who did not as not important or information provided to judge the differences

Study attrition: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

Glycaemic status measurement: yes/no/unclear/NA

a. Clear definition or description provided

Measurements for glycaemic status are provided (e.g. IFG, IGT, elevated HbA1c)

b. Adequately valid and reliable method of measurement

Ideally measurements for glycaemic status are repeated to ensure diagnosis, single measurements are accepted as well; technique for glucose measurement or HbA1c measurement described

c. Continuous variables reported or appropriate cut points used

Standard categories for intermediate hyperglycaemia (FPG 5.6–6.9 mmol/L (IFG5.6), FPG 6.1–6.9 mmol/L (IFG6.1), 2‐h PG 7.8 to < 11.0 mmol/L (IGT), HbA1c 6.0–6.4% (HbA1c6.0), HbA1c 5.7–6.4% (HbA1c5.7))

d. Same method and setting of measurement used in all study participants

Measurements of glycaemic status are the same for all study participants

e. Adequate proportion of the study sample had complete data

NA: usually participants with information on glycaemic status and follow‐up data providing information on development of type 2 diabetes are selected from a greater study cohort (e.g. study evaluating several cardiovascular risk factors)

f. Appropriate methods of imputation were used for missing data

NA: missing laboratory measurements for glycaemic status cannot be reliably imputed

Glycaemic status measurement: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

Outcome measurement: yes/no/unclear

a. Clear definition of the outcome provided

Measurement of type 2 diabetes mellitus has to be defined

b. Use of adequately valid and reliable method of outcome measurement

Measurement of type 2 diabetes mellitus: a glucose (FPG, PG) or HbA1c measurement has to be a part of the diagnosis (self‐reported diabetes alone will not be accepted)

c. Use of same method and setting of outcome measurement in all study participants

Measurements of type 2 diabetes mellitus are the same for all study participants

Outcome measurement: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

Study confounding: yes/no/unclear

a. Measurement of all important confounders

Important confounders are: age, sex, family history of diabetes, 'ethnicity', body mass index, blood pressure and hypertension, smoking and drinking status, socioeconomic status, comedications and comorbidities, physical activity

b. Provision of clear definitions of the important confounders measured

Measurement of confounders has to be clearly described

c. Adequately valid and reliable measurement of all important confounders

Measurement of confounders is valid and reliable

d. Use of same method and setting of confounding measurement in all study participants

Measurements of confounders are the same for all study participants

e. Appropriate imputation methods used for missing confounders (if applicable)

Strategy to impute missing confounder data is described

f. Important potential confounders were accounted for in the study design

Methods section of the publication describes strategy to account for confounders

g. Important potential confounders were accounted for in the analysis

Important confounders are accounted for in multivariable logistic regression and Cox proportional hazards models

Study confounding measurement: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

Statistical analysis and reporting: yes/no/unclear/NA

a. Sufficient presentation of data to assess the adequacy of the analytic strategy

Mean or median values, including confidence intervals or standard errors or standard deviations

b. Strategy for model building is appropriate and based on a conceptual framework or model

NA: we do not anticipate conceptual frameworks or explicit model building strategies for this type of research question (focusing on one prognostic factor only)

c. Statistical model is adequate for the study design

Mainly incidence rates, uni‐ and multivariate logistic regression, Cox proportional hazard model

d. No selective reporting of results

NA: development of type 2 diabetes mellitus and potentially regression to normoglycaemia from intermediate hyperglycaemia are the only outcomes; if missing the study will be excluded

Statistical analysis and reporting: risk of bias rating (high/low/unclear)

High: most items are answered with 'no'; Low: all items answered with 'yes'; Unclear: most items are answered with 'unclear'

Note: potentially a single item may introduce a high risk of bias, depending on study specifics

aNo: no or no relevant information to answer the signalling question

bUnclear: not enough information to answer signalling question with yes or no
cNA (not applicable): signalling question not appropriate for this type of prognostic review

FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; IFG: impaired fasting glucose; IGT: impaired glucose tolerance; PG: postload glucose (after an oral glucose tolerance test)

Appendix 4. Major cohort studies

Cohort study acronym

Full study name

ADDITION

Anglo‐Danish‐Dutch study of Intensive Treatment in People with Screen Detected Diabetes in Primary Care (Rasmussen 2008)

Ansung‐Ansan Cohort Study (part of the Korean Genome and Epidemiology Study (KoGES)) ‐ (Han 2017)

Asturias

Asturias Study (Valdes 2008)

ARIC

Atherosclerosis Risk in Communities study (Warren 2017)

ATTICA

Province of Attica, Greece Study (Filippatos 2016)

AusDiab

Australian Diabetes, Obesity and Lifestyle Study (Magliano 2008)

BLSA

Baltimore Longitudinal Study of Aging (Meigs 2003)

BLSA

Beijing Longitudinal Study on Aging (Liu 2016)

Beijing Project as part of the National Diabetes Survey (Wang 2007)

BMES

Blue Mountains Eye Study (Cugati 2007)

Botnia Study (Lyssenko 2005)

Bruneck Study (Bonora 2011)

CUPS‐19

Chennai Urban Population Study‐19 (Mohan 2008)

CURES

Chennai Urban Rural Epidemiology Study (Anjana 2015)

ChinaMUCA

China Multicenter Collaborative Study of Cardiovascular Epidemiology (Liu 2017)

CODAM

Cohort on Diabetes and Atherosclerosis Maastricht (Den Biggelaar 2016)

DESIR

Data from an Epidemiological Study on the Insulin Resistance Syndrome (Gautier 2010)

Ely Study (Forouhi 2007)

EPIC‐Norfolk cohort

European Prospective Investigation of Cancer Norfolk cohort (Chamnan 2011)

Finnish Cohorts of the Seven Countries Study (Stengard 1992)

None

Framingham Heart Study (Levitzky 2008)

GOS

Geelong Osteoporosis Study (De Abreu 2015)

Health ABC

Health, Aging, and Body Composition Study (Lipska 2013)

Hoorn Study (Rijkelijkhuizen 2007)

None

Hong Kong Cardiovascular Risk Factor Prevalence Study (Wat 2001)

IRAS

Insulin Resistance Atherosclerosis Study (Hanley 2005)

ICS

Isfahan Cohort Study (baseline survey of the Isfahan Healthy Heart Program) (Sadeghi 2015)

IDPS

Isfahan Diabetes Prevention Study (Janghorbani 2015)

Israel GOH Study

Israel Study of Glucose Intolerance, Obesity and Hypertension (Bergman 2016)

ILSA

Italian Longitudinal Study on Aging (Motta 2010)

Japanese American Community Diabetes Study (McNeely 2003)

JPHC Study

Japanese Public‐Health Center‐based prospective (Diabetes) Study (Noda 2010)

Kansai Healthcare Study (Sato 2009)

Kinmen Study (Li 2003)

KORA S4/F4

Kooperative Gesundheitsfroschung in der Region Augsburg (Rathmann 2009)

KoGES

Korean Genome Epidemiology Study‐Kangwha Study (Song 2015)

Kurihashi Lifestyle Cohort Study (Nakagami 2016)

Mexico City Diabetes Study (Ferrannini 2009)

MESA

Multi‐Ethnic Study of Atherosclerosis (Yeboah 2011)

Nauru Study (Dowse 1991)

Paris Prospective Study (Charles 1997)

Pima Indian Study (Gila River Indian Community) (Wheelock 2016)

Pizarra study (Soriguer 2008)

PIFRECV

Programa de Investigación de Factores de Riesgo de Enfermedad Cardiovascular (Leiva 2014)

Rotterdam study (Ligthart 2016)

SALSA

Sacramento Area Latino Study on Aging (Garcia 2016)

SAHS

San Antonio Heart Study (Lorenzo 2003)

San Luis Valley Diabetes Study (Marshall 1994)

Singapore Impaired Glucose Tolerance Follow‐up Study (Wong 2003)

SIMES

Singapore Malay Eye Study (Man 2017)

SDPP

Stockholm Diabetes Prevention Programme (Alvarsson 2009a)

SHS

Strong Heart Study (Wang 2011)

Study within the WHO‐assisted National Diabetes Programme (Schranz 1989)

SUNSET/HELIUS

Surinamese in the Netherlands: study on health and ethnicity/Healthy life in an urban setting (Admiraal 2014)

TLGS

Tehran Lipid and Glucose Study (Derakhshan 2016)

TOPICS

Toranomon Hospital Health Management Center Study (Heianza 2012)

Yonchon study (Shin 1997)

Zanjan Healthy Heart Study (Sharifi 2013)

Appendix 5. Definition of normoglycaemia, intermediate hyperglycaemia and incident type 2 diabetes

Study ID

Normoglycaemia (mmol/L or %)

Intermediate hyperglycaemia
(mmol/L or %)

Incident type 2 diabetes
(mmol/L or %)

OGTT measurement (glucose load)

OGTT at baseline

OGTT at follow‐up

Notes

Admiraal 2014

IFG: FPG 5.7–6.9

FPG ≥ 7.0; HbA1c ≥ 6.5; self‐reported diabetes

Aekplakorn 2006

IFG: FPG ≥ 5.6 to < 7.0; IGT: 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11; diagnosis and/or receipt of antihyperglycaemic medication

75 g

Yes

No

Ammari 1998

IGT: 2‐h PG 7.8 to < 11.1 (WHO 1985)

2‐h PG ≥ 11.1 (WHO 1985)

75 g

Yes

Yes

Anjana 2015

FPG < 5.6 and 2‐h PG < 7.8

i‐IGT: 2‐h PG 7.8–11.0 and FPG > 5.6; i‐IFG: FPG 5.6–6.9 and 2‐h PG < 7.8; prediabetes: FPG 5.6–6.9 or 2‐h PG 7.8–11.0 (i‐IGT or i‐IFG or IFG/IGT)

FPG ≥ 7.0; 2‐h PG ≥ 11.1; diagnosed; antihyperglycaemic medication

75 g

Yes

Unclear

Bae 2011

HbA1c 5.7–6.4, HbA1c 6.0–6.4

FPG ≥ 7.0; HbA1c ≥ 6.5; history of diabetes; antihyperglycaemic medication

None

None

None

Baena‐Diez 2011

FPG < 6.1

IFG: 6.1–6.9

FPG ≥ 7.0 (measured twice)

Bai 1999

IGT: 7.8 to < 11.1 (WHO 1985)

2‐h PG ≥ 11.1 (WHO 1985)

75 g

Yes

Yes

Bergman 2016

FPG < 5.6 +

and no antihyperglycaemic medication and 2‐h BG < 7.8 (if available)

FPF 5.6–7.8 (7.7?); 2‐h BG 7.8–11.0

FPG ≥ 7.8, 2‐h BG ≥ 11.1; self‐reported

100 g

Yes

Unclear

Bonora 2011

HbA1: 6.0–6.49; IFG: not defined, probably FPG 5.6–6.9

FPG ≥ 7.0; HbA1c ≥ 6.5; diabetes treatment

75 g

Yes

Unclear

Cederberg 2010

IFG: 6.1–6.9, 2‐h PG < 7.8; IGT: FPG > 7.0, 2‐h PG 7.8 to < 11.1 (WHO 2009); elevated HbA1c: 5.7–6.4

2‐h PG: ≥ 11.1, confirmed by 2 OGTTs

Diabetes incidence and IFG/IGT not exactly defined

Chamnan 2011

HbA1c 6.0–6.4

HbA1c ≥ 6.5; reported physician‐diagnosed diabetes or diabetes medications; antihyperglycaemic medication; diagnosis through registers

Charles 1997

IGT: 2‐h PG ≥ 7.8 to < 11.1 (WHO 1985)

2‐h PG ≥ 11.1 (WHO 1985); physician diagnosed diabetes

75 g

Yes

Yes

2nd and 4th examination

Chen 2003

FPG < 6.1

IFG: FPG 6.1–7.0

FPG ≥ 7.0

Chen 2017

FPG < 5.6 and 2‐h PG < 7.8

IFG: FPG 5.6–6.9 + 2‐h PG ≤ 7.8; IGT: FPG < 5.6 + 2‐h PG 7.8–11.0; IFG/IGT: FPG 5.6–6.9 + 2‐h PG 7.8–11.0

FPG ≥ 7.0; 2‐h PG ≥ 11.1; previously diagnosed diabetes

75 g

Yes

Unclear

Coronado‐Malagon 2009

ADA 2007

ADA 2007 (IFG/IGT: 5.6–6.9/7.8 to < 11.1)

ADA 2007 (≥ 7.0/≥ 11.1)

Cugati 2007

IFG: FPG 5.6–6.9 (originally FPG ≥ 6.1 to < 7.0)

FPG ≥ 7.0; self‐reported diabetes history; antihyperglycaemic medication

De Abreu 2015

IFG: 5.5–6.9

FPG ≥ 7.0; self‐reported; antihyperglycaemic medication

Den Biggelaar 2016

FPG < 6.1 and 2‐h PG < 7.8

FPG 6.1–6.9; 2‐h PG 7.8–11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Unclear

Derakhshan 2016

FPG ≤ 5.55 and 2‐h PG ≤ 7.77

5.55 ≤FPG < 7.0; 7.77 ≤ 2‐h PG ≤ 11.1; no antihyperglycaemic medication

FPG ≥ 7.0; 2‐h PG ≥ 11.1; antihyperglycaemic medication

82.5 g

Yes

Unclear

Glucose monohydrate solution, equivalent to 75 g anhydrous glucose

Dowse 1991

FPG and 2‐h PG < 7.8

IGT: FPG < 7.8 and 2‐h PG ≥ 7.8 to < 11.1

2‐h PG ≥ 11.1 (WHO 1985); FPG ≥ 7.8

75 g

Yes

Yes

Ferrannini 2009

IFG: FPG 6.1–6.9; IGT: FPG < 7.0 and 2‐h PG 7.8–11.1; i‐IFG6.1/i‐IFG5.6: 2‐h PG < 7.8 and FPG 6.1–6.9/5.6–6.1; i‐IGT/i‐IGT6.1/i‐IGT5.6

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Filippatos 2016

IFG5.6: FBG 5.6–6.9

FBG > 6.9; antihyperglycaemic medication

None

None

None

Forouhi 2007

FPG < 5.6

IFG6.1: FPG 6.1–6.9 (FPG < 7.0 and 2‐h PG < 11.1)

(all) IFG5.6: FPG 5.6–6.9

FPG ≥ 7.0; 2‐h PG ≥ 11.1; doctor diagnosis or treatment for diabetes

75 g

Yes

Yes

Garcia 2016

Prediabetes: FBG 5.6–6.9

FPG ≥ 7.0; self‐reported; antihyperglycaemic medication; diabetes comedication of death

Gautier 2010

IFG: FPG 5.6–6.9

FPG ≥ 7.0; treatment for diabetes (at one of the 3‐yearly examinations)

Gomez‐Arbelaez 2015

IFG: ≥ 5.6 to < 7.0; IGT: ≥ 7.8 to < 11.1; HbA1c ≥ 5.7 to ≤ 6.4

FPG ≥ 7.0; OGTT ≥ 11.1; HbA1c ≥ 6.5

OGTT

Yes

Yes

OGTTs from hospital's database

Guerrero‐Romero 2006

FPG < 6.1 and 2‐h PG < 7.8

IGT: 2‐h PG ≥ 7.8 to < 11.1

2‐h PG: ≥ 11.1

OGTT

Yes

Yes

OGTT: as baseline and each year during the 5‐year follow‐up

Han 2017

FPG < 5.6 and 2‐h PG < 7.8

IFG: FPG 5.6–6.9 and no diagnosis of diabetes

IGT: 2‐h PG 7.8 to < 11.1

i‐IFG5.6: IFG without IGT

i‐IGT: IGT without IFG

IGT, IGT: IFG + IGT

'Prediabetes': IFG or IGT

FPG ≥ 7.0; 2‐h PG ≥ 11.1; HbA1c ≥ 6.5; current antihyperglycaemic treatment

75 g

Yes

Yes

OGTT was performed every 2 years

Hanley 2005

IFG,IGT (WHO 1999)

Unclear

75 g

Yes

No

Heianza 2012

Absence of IFG or elevated HbA1c

IFG: FPG 5.6–6.9 or FPG 6.1–6.9; HbA1c 5.7–6.4 or 6.0–6.4; IFG/HbA1c = 'prediabetes'

FPG ≥ 7.0; HbA1c ≥ 6.5%; self‐reported clinician‐diagnosed diabetes

Inoue 1996

IGT: ≥ 7.8 to < 11.1 (presumed WHO 1985)

IGT: ≥ 11.1(presumed WHO 1985)

75 g

Yes

Yes

OGGT was performed every year

Janghorbani 2015

FPG < 5.6 and 2‐h PG < 7.8

i‐IGT: FPG < 5.6 and 2‐h PG 7.8–11.1; i‐IFG: 5.6–6.9 and 2‐h PG < 7.8; IFG/IGT: 5.6–6.9 and 2‐h PG 7.8–11.1

FPG ≥ 11.1; antihyperglycaemic medication; 2nd FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Jaruratanasirikul 2016

FPG < 5.6

i‐IGT: FPG < 5.6 and 2‐h PG 7.8 to < 11.1

FPG > 7.0; 2‐h PG ≥ 11.1

1.75 g/kg (maximum 75 g) glucose solution

Yes

No

Jeong 2010

IFG: FPG ≥ 5.6 to < 7.0; IGT: 2‐h PG ≥ 7.8 to < 11.1: 'prediabetes': IFG or IGT

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Jiamjarasrangsi 2008a

IFG: FPG ≥ 5.6 to < 7.0

FPG ≥ 7.0

Kim 2005

FPG < 5.0

IFG6.1: FPG 6.1 to < 7.0 (group 4, = 276)

IFG5.6: FPG 5.6 to < 6.1

FPG ≥ 7.0; antihyperglycaemic treatment

Kim 2008

IFG5.6: FPG 5.6–7.0; IFG6.1: FPG 6.1–7.0

FPG ≥ 7.0

Kim 2014

i‐IFG: FPG 5.6–6.9 and 2‐h PG < 7.8; i‐IGT: 2‐h PG 7.8–11.1 and FPG < 5.6; IFG/IGT: combined glucose intolerance; HbA1c: 5.7–6.4

FPG ≥ 7.0; 2‐h PG ≥ 11.1; HbA1c ≥ 6.5

75 g

Yes

Unclear

Kim 2016a

FPG 5.6–6.9; HbA1c 5.7–6.4

FPG ≥ 7.0; HbA1c ≥ 6.5; antihyperglycaemic medications

Kleber 2010

IGT: 2‐h PG > 7.7: IFG: FPG ≥ 5.5 (WHO definition)

ADA 2000

1.75 g/kg body weight (maximum 75 g) flavoured glucose

Yes

Kleber 2011

IGT: not reported (presumed 7.8–11.1)

"ADA" (2000 criteria, 2‐h PG ≥ 11.1)

1.75 g/kg body weight (max. 75 g)

Yes

Yes

Ko 1999

WHO/NDDG 1979

WHO/NDDG 1979

WHO/NDDG 1979

Yes

Yes

Ko 2001

FPG < 6.1

IFG: FPG 6.1–6.9

FPG ≥ 7.0

75 g

Yes

Yes

Annual OGTTs

Larsson 2000

FPG < 5.3 and 2‐h BG < 7.8

i‐IFG: BG 5.3–5.9 and 2‐h BG < 7.8; i‐IGT: FPG < 5.3 and 2‐h BG 7.8–11.0; IFG/IGT: BG 5.3–5.9 and 2‐h BG 7.8–11.0

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Yes

NGT at baseline vs follow‐up: FPG < 5.3 vs < 6.1; FPG 5.3: 15% conversion factor as recommended by the WHO (blood glucose > plasma glucose)

Latifi 2016

5.6 ≤ FPG < 7.0

FPG ≥ 7.0; antihyperglycaemic medication

Lecomte 2007

FPG < 6.1; no personal history of diabetes; no hypoglycaemic treatment

IFG6.1: FPG 6.1–6.9; no personal history of diabetes; no hypoglycaemic treatment

FPG ≥ 7.0; personal history of diabetes; hypoglycaemic treatment

Lee 2016

HbA1c 5.7–6.4

HbA1c ≥ 6.5

Leiva 2014

IFG: 5.6–7.0 (low range: 5.6–6.1; high range: 6.1–6.9)

FPG ≥ 7.0 (2 cons. days), HbA1c ≥ 6.5

Levitzky 2008

IFG5.6: FPG 5.6–6.9; IFG6.1: FPG 6.1–6.9

FPG ≥ 7.0; antihyperglycaemic medication

Li 2003

FPG < 6.1 and 2‐h PG < 7.8

i‐iFG:FPG 6.1–7.0 and 2‐h PG < 7.8; i‐IGT: FPG < 6.1 and 2‐h PG 7.8–11.1; IFG/IGT: FPG 6.1–7.0 and 2‐h PG 7.8–11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.0; antihyperglycaemic medications

75 g

Yes

Yes

Ligthart 2016

FBG ≤ 6.0

FBG > 6.0 and < 7.0; non‐fasting BG > 7.7 and < 11.1

FBG ≥ 7.0; non‐fasting BG ≥ 11.1; antihyperglycaemic medication

Lipska 2013

FPG < 5.6 and HbA1c < 5.7

i‐IFG: FPG 5.6–6.9 and HbA1c < 5.7; i‐HbA1c: 5.7–6.4 and FPG > 5.6; IFG and HbA1c: FPG 5.6–6.9 and HbA1c 5.7–6.4

Single HbA1c ≥ 6.5 (years 2,6,7); self‐report of physician diagnosis (annually); antihyperglycaemic agent (years 1,2,4,6,7)

Liu 2008

IFG 5.6–6.9

FPG ≥ 7.0; 2‐h PG ≥ 11.0; antihyperglycaemic medication

Liu 2014

WHO

IFG; IGT (WHO)

WHO

75 g

Yes

Unclear

Liu 2016

FPG 6.1–6.9

FPG ≥ 7.0; self‐reported; antihyperglycaemic medication

Liu 2017

FPG 3.9–5.5

FG 5.6–6.9

FG ≥ 7.0; using insulin/hypoglycaemic agents; self‐reported

Lorenzo 2003

IFG: FPG 6.1–6.9; IGT: 2‐h PG 7.8 to < 11.1(WHO 1999)

FPG: ≥ 7.0; 2‐h PHG: ≥ 11.1 (WHO 1999/1985)

75 g

Yes

Yes

Lyssenko 2005

FPG < 6.1

IFG: FPG ≥ 6.1; WHO 1999 criteria

WHO 1999 criteria

75 g

Yes

Yes

Magliano 2008

FPG < 6.1 and 2‐h PG < 7.8

IFG: FPG 6.1–6.9 and 2‐h PG < 7.8; IGT: FPG < 7.0 and 2‐h PG ≤ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1; current antihyperglycaemic medication

75 g

Yes

Yes

Man 2017

Not 'prediabetes', not diabetes

HbA1c 5.7–6.4; no self‐reported diabetes or antihyperglycaemic medication

Random glucose ≥ 11.1 or HbA1c > 6.4; self‐reported history or antihyperglycaemic medication

Marshall 1994

IGT: 2‐h PG ≥ 7.8 to < 11.1 (WHO 1985)

2‐h PG ≥ 11.1 (WHO 1985)

75 g

Yes

Yes

McNeely 2003

IFG: FPG ≥ 6.1 to < 7.0; IGT: 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1; antihyperglycaemic medication prescribed by a physician

75 g

Yes

Yes

Meigs 2003

FPG < 6.1 and 2‐h PG ≤ 7.8

IFG: FPG 6.1–6.9 and 2‐h PG ≤ 7.8; IGT: FPG < 6.1 and 2‐h PG 7.8–11.0; IFG/IGT

FPG ≥ 7.0; 2‐h PG ≥ 11.1 (IFG‐IGT person: diabetes defined by OGTT)

Before 07/1977: 1.75 g glucose/kg BW, average 143 g; from 07/1977: 40 g/kg body surface area, average 78 g (men) and 68 g (women)

Yes

Yes

Serial OGTTs over subsequent biennial examinations

Mohan 2008

IFG: FPG ≥ 6.1 to < 7; IGT: 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Motala 2003

Both FPG and 2‐h PG < 7.8 (WHO 1985)

IGT: FPG < 7.8 and 2‐h PG 7.8 to < 11.1 (WHO 1985)

FPG ≥ 7.8; 2‐h PG ≥ 11.1 (WHO 1985)

75 g glucose monohydrate dissolved in 250 mL of water (modified OGTT)

Yes

Yes

Motta 2010

FPG < 6.1

IFG: 6.1 to < 7.0

FPG ≥ 7.0

Yes

Mykkänen 1993

FPG and 2‐h PG < 7.8

IGT: FPG < 7.8 and 2‐h PG 7.8–11.1 (WHO 1985)

FPG ≥ 7.8; 2‐h PG ≥ 11.1 (WHO 1985)

75 g

Yes

Yes

Nakagami 2016

HbA1c 5.7–6.4, FPG 5.5–6.9

FPG ≥ 7.0, HbA1c ≥ 6.5; physician diagnosis of diabetes

Nakanishi 2004

FPG < 6.1

IFG: FPG 6.1–6.9

FPG ≥ 7.0; antihyperglycaemic medication

Noda 2010

Taken from table 2: FPG levels: IFG 5.6 and 6.1

FPG ≥ 7.0; HbA1c ≥ 6.1%; self‐reported

Park 2006

IFG: FPG ≥ 5.6

FPG ≥ 7.0

Peterson 2017

FPG < 6.1 and 2‐h PG < 7.8

IGT: FPG < 7.0 and 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1

Yes

Yes

2 standardised OGTT at baseline with about 1 week's interval to verify glucose status

Qian 2012

FPG < 6.1 and 2‐h PG < 7.8

i‐IFG: 6.1–6.9 and 2‐h PG < 7.8; i‐IGT: < 6.1 and 2‐h PG 7.8–11.0; IFG/IGT: 6.1–6.9 and 2‐h PG 7.8–11.0

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Unclear

Rajala 2000

2‐h PG < 7.8

IGT: 2‐h PG 7.8 to < 11.1

2‐h PG ≥ 11.1; 2x FPG ≥ 6.7

75 g

Yes

Yes

New cases identified by OGTTs in 1994 and 1996–8

Ramachandran 1986

IGT: 7.8–11.0 (presumed NDDG 1979)

2‐h PG > 11.0 (presumed NDDG 1979)

75 g

Yes

Yes

Rasmussen 2008

IFG (i‐IFG): FBG 5.6 to < 6.1 and 2‐h BG < 7.8; IGT (i‐IGT): FBG < 6.1 and 2‐h BG 7.8 to < 11.1; IFG/IGT

FBG ≥ 6.1 or 2‐h BG ≥ 11.1

75 g

Yes

Unclear

Rathmann 2009

WHO 1999

IFG: FPG 6.1–6.9; IGT: 2‐h PG 7.8 to < 11.1; 'prediabetes': i‐IFG, i‐IGT and IFG/IGT

FPG ≥ 7.0; 2‐h PG ≥ 11.1; validated physician diagnosis

75 g

Yes

Yes

Rijkelijkhuizen 2007

ADA 1997/2003

IFG5.6: FPG 5.6–7.0; IFG6.1: FPG 6.1–7.0; IGT: 2‐h PG 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG: ≥ 11.1

75 g

Yes

Yes

Sadeghi 2015

IFG: FPG ≥ 5.5 and < 7.0; IGT: 2‐h OGTT ≥ 7.8 and < 11.1

FPG > 7.0; 2‐h OGTT > 11.1; IFG/IGT; antihyperglycaemic medication

Yes

Yes

Sasaki 1982

FPG < 7.8 and 2‐h PG < 7.8 (WHO 1980)

IGT: FPG < 7.8 and 2‐h PG 7.8–11.1 (WHO 1980)

FPG ≥ 7.8 or 2‐h PG ≥ 11.1 (WHO 1980)

50 g

Yes

Yes

Sato 2009

(Table 1): IFG: FPG group 6.1–6.9; HbA1c‐group: 6.0–6.4

FPG ≥ 7.0; antihyperglycaemic medication

Schranz 1989

IGT: 2‐h PG ≥ 7.8 to < 11.1 (WHO 1985)

2‐h PG ≥ 11.1 (WHO 1985)

OGTT

Yes

Yes

Sharifi 2013

FPG 5.6–7.0

FPG > 7.0 (2 measurements); diabetes diagnosis based on documents

OGTT

Yes (twice)

Shin 1997

Assumed WHO 1985 criteria

"WHO criteria"; antihyperglycaemic medication

75 g

Yes

Yes

Söderberg 2004

IFG: FPG ≥ 6.1 to < 7.0 and 2‐h PG < 7.8; IGT: FPG < 7.0 and 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Song 2015

IFG: FPG 5.6–6.9

FPG ≥ 7.0; HbA1c ≥ 6.5; antihyperglycaemic medication

Song 2016a

IFG: FG 5.6–6.9; IGT: 2‐h G 7.8–11.0

FG ≥ 7.0; 2‐h G ≥ 11.0; HbA1c ≥ 6.5; self‐reported

75 g

Yes

Yes

100 g steamed bread at follow‐up

Soriguer 2008

BG < 5.6 and 2‐h BG < 7.8

IFG: BG 5.6–6.1 and 2‐h BG < 7.8; IGT: BG < 5.6 and 2‐h BG 7.8–11.1

BG > 6.1 or 2‐h BG > 11.1

75 g

Yes

Yes

Stengard 1992

IGT: 2‐h PG 7.8–11.1

2‐h PG ≥ 11.1 (WHO 1985); antihyperglycaemic medications

75 g

Yes

Yes

Toshihiro 2008

FPG < 6.1 and 2‐h PG < 7.8

IFG: FPG 6.1–6.9 and 2‐h PG < 7.8; IGT: FPG < 7.0 and 2‐h PG 7.8–11.1

FPG ≥ 7.0; 2‐h PG > 11.1; non‐fasting PG > 11.1

75 g

Yes

Yes

Annual OGTT during the observation period (3.2 years)

Vaccaro 1999

FPG < 5.6; 2‐h PG < 6.7; 2‐h PG < 6.7

IFG: FPG 5.6–6.0; IGT: 2‐h PG 6.7–9.9

FPG> 6.1; antihyperglycaemic medications; 2‐h PG ≥ 10.0

75 g

Yes

No

Retrospective classification; note thresholds (whole blood)

Valdes 2008

FPG < 5.6

IFG5.6: 5.6–6.1; IFG6.1: 6.1–6.9

FPG ≥ 7.0; 2‐h PG ≥ 11.1; clinical diabetes diagnosis; antihyperglycaemic medication, diet

75 g

Yes

Yes

Vijayakumar 2017

FG 5.6–6.9; 2‐h PG 7.8–11.9; HbA1c 5.7–6.4

FPG ≥ 7.0; 2‐h PG ≥ 11.1; previous clinical diagnosis

75 g

Yes

Yes

HbA1c new method = −0.1916 + (0.9829 × HbA1c old method)

Viswanathan 2007

FPG and 2‐h PG < 6.1 and < 7.8

IGT: 2‐h PG 7.8 to < 11.1

Not defined, presumably by OGTT

75 g

Yes

Yes

All participants underwent a second OGTT to confirm the diagnosis in order to be included in the study; follow‐up: a reminder letter was sent every 6 months to participants to undergo an OGTT

Wang 2007

IFG: FPG 6.1–6.9; IGT: 2‐h PG 7.8–11.0

FPG ≥ 7.0; 2‐h PG ≥ 11.1

75 g

Yes

Unclear

Wang 2011

FPG < 5.6; HbA1c < 6.0; no FPG/HbA1c

IFG: 5.6 to < 7.0; HbA1c 6.0 to < 6.5

Diabetes status: FPG ≥ 7.0; antihyperglycaemic medication; HbA1c ≥ 6.5, antihyperglycaemic medication; FPG/HbA1c: ≥ 6.5 or FPG ≥ 7.0 or antihyperglycaemic medication

Warren 2017

FPG 5.6–6.9 (ADA); FG 6.1–6.9 (WHO); 2‐h 7.8–11.0 (ADA); HbA1c 5.7–6.4 (ADA); 6.0–6.4 (IEC)

Self‐report of physician diagnosis; antihyperglycaemic medication reported during a study visit or annual telephone call

75 g

Yes (visit 4)

Unclear

Wat 2001

FPG and 2‐h PG < 7.8

IGT: FPG < 7.8 and 2‐h PG 7.8 to < 11.1

FPG ≥ 7.8; 2‐h PG ≥ 11.1

75 g

Yes

Yes

Weiss 2005

FPG < 5.6 and 2‐h PG < 7.8

IGT: FPG < 5.6 and 2‐h PG 7.8–11.1

FPG ≥ 7.0; 2‐h PG > 11.1; presentation of hyperglycaemia (more than 2 random glucose measurements > 11.1), glucosuria, polydipsia, and polyuria

1.75 g/kg body weight flavoured glucose orally (up to a maximum of 75 g)

Yes

Yes

OGTT was repeated every 18–24 months

Wheelock 2016

IGT: 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1; previous diagnosis

75 g

Yes

Unclear

Modified OGTT

Wong 2003

IGT: 2‐h PG ≥ 7.8 to < 11.1

FPG ≥ 7.0; 2‐h PG ≥ 11.1; physician diagnosed diabetes

75 g

Yes

Yes

Yeboah 2011

FPG < 5.6

IFG: FPG 5.6–6.9

FPG > 6.9; antihyperglycaemic medication during examinations 2,3, 4

Zethelius 2004

IGT: 2‐h PG 7.8 to < 11.1

FPG ≥ 7.0; antihyperglycaemic medications

75 g

Yes

No

BG: blood glucose; BW: body weight; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; i‐IFG: (isolated) impaired fasting glucose; i‐IGT: (isolated) impaired glucose tolerance; IFG/IGT: both impaired fasting glucose and impaired glucose tolerance; NDDG: National Diabetes Data Group; NGT: normal glucose tolerance; OGTT: oral glucose tolerance test; PG: postload glucose; WHO: World Health Organization

Appendix 6. Number of participants with and without intermediate hyperglycaemia at baseline

Study ID

N participants with/without IH

Definitions of IH at baseline

'Prediabetes'a
(%)

Elevated HbA1c
(%)

IFG
(%)

IGT
(%)

IFG/HbA1c
(%)

IFG/IGT
(%)

Admiraal 2014

IFG5.6 total: 111/456

IFG5.6:
Total 24.3
South‐Asian Surinamese 34.4
African Surinamese 21.1
"Ethnic Dutch" 22.7

Aekplakorn 2006

IFG5.6: 223/2667

IFG5.6: 8.4

Ammari 1998

IGT: 68

100

Anjana 2015

'Prediabetes' (i‐IFG, i‐IGT or both): 299/1376

21.7

i‐IFG5.6: 4.9

i‐IGT: 11.8

5.0

Bae 2011

HbA1c5.7: 1791/9723; HbA1c6.0: 412/1791

HbA1c5.7: 18.4 HbA1c6.0: 4.2

Baena‐Diez 2011

IFG6.1: 115

IFG6.1: 100

Bai 1999

IGT: 252/696

36.2

Bergman 2016

IGT: 68/853

8

Bonora 2011

HbA1c6.0: 70/842

8.3

Cederberg 2010

IFG6.1: 40/553
IGT: 103/553
IFG/IGT: 15/553

IFG6.1: 7.2

18.7

2.7

Chamnan 2011

HbA1c6.0: 370/5735

HbA1c6.0: 6.5

Charles 1997

IGT: 418/4089; i‐IFG6.1: 476/5042

i‐IFG6.1: 9.4

10.2

Chen 2003

IFG6.1: 156/600

IFG6.1: 26

Chen 2017

i‐IFG5.6: 329/1347
i‐IGT: 192/1347
IFG/IGT: 209/1347

i‐IFG5.6: 24.4

i‐IGT: 14.2

15.5

Coronado‐Malagon 2009

'Prediabetes': 217/656

33.1

Cugati 2007

IFG5.6: 244/2123

IFG5.6: 11.5

De Abreu 2015

IFG5.6: 187/1167

IFG5.6: 16

Den Biggelaar 2016

IFG6.1 and/or IGT: 122/476

25.6

Derakhshan 2016

IFG5.6 and/or IGT: 523/8231

IFG5.6 and/or IGT: 6.4

Dowse 1991

IGT: 105/1201

8.7

Ferrannini 2009

i‐IFG5.6: 65/1941
i‐IFG6.1: 17/1941
IGT: 179/1941
i‐IGT(IFG5.6): 57/1941
i‐IGT(IFG6.1): 29/1941

i‐IFG5.6: 3.3
i‐IFG6.1: 0.9

IGT: 9.2
i‐IGT5.6: 2.9
i‐IGT6.1: 1.5

Filippatos 2016

IFG5.6: 279/1485

IFG5.6: 18.8

Forouhi 2007

IFG6.1: 257/1040

IFG5.6: 633/1040

IFG5.6: 60.9

IFG6.1: 24.7

Garcia 2016

IFG5.6: 310/1777

IFG5.5: 17.5

Gautier 2010

IFG5.6: 979

IFG5.6: 100

Gomez‐Arbelaez 2015

'Prediabetes': 186/772
(Men: 61/772, women: 125/772)

24.1

Guerrero‐Romero 2006

IGT: 75/375

20

Han 2017

i‐IFG5.6: 199/7542

i‐IGT: 1512/7542

IFG/IGT: 198/7542

i‐IFG5.6: 2.6

i‐IGT: 20.0

2.6

Hanley 2005

IGT: 274/882

31.6

Heianza 2012

IFG5.6: 1680/6241
IFG6.1: 380/6241
HbA1c5.7: 822/6241
HbA1c6.0: 203/6241
IFG5.6/HbA1c5.7: 2092/6241

HbA1c5.7: 13.2
HbA1c6.0: 3.3

IFG5.6: 26.9
IFG6.1: 6.1

33.5

Inoue 1996

IGT: 37

100

Janghorbani 2015

i‐IFG5.6: 304/1530
i‐IGT: 198/1530
IFG/IGT: 268/1530

i‐IFG5.6: 19.9

i‐IGT: 12.9

17.5

Jaruratanasirikul 2016

i‐IGT: 27/177

i‐IGT: 15.3

Jeong 2010

IFG5.6: 16%
IGT: 5.3%

IFG5.6: 16

5.3

Jiamjarasrangsi 2008a

IFG5.6: 320/2370

IFG5.6: 13.5

Kim 2005

IFG6.1: 276/2964

IFG6.1: 9.3

Kim 2008

IFG total: 1829/7211
IFG5.6: 1335/7211
IFG6.1: 494/7211

IFG total: 25.4
IFG5.6: 18.5
IFG6.1: 6.9

Kim 2014

i‐IFG5.6: 158/406
i‐IGT: 65/406
IFG/IGT: 119/406
i‐HbA1c5.7: 64/406

i‐HbA1c5.7: 15.8

i‐IFG5.6: 38.9

i‐IGT: 16

29.3

Kim 2016a

IFG5.6: 3544/17971
HbA1c5.7: 1713/17971
IFG5.6/HbA1c5.7: 1951/17971

HbA1c5.7: 9.5

IFG5.6: 19.7

10.9

Kleber 2010

IGT: 79

100

Kleber 2011

IGT: 119

100

Ko 1999

IGT: 123

100

Ko 2001

IFG6.1: 55/319

IFG6.1: 17.2

Larsson 2000

i‐IFG6.1: 42/265
i‐IGT: 66/265
IFG/IGT: 30/265

i‐IFG6.1: 15.8

i‐IGT: 24.9

11.3

Latifi 2016

IFG5.6: 124/593

IFG5.6: 20.9

Lecomte 2007

IFG6.1: 743

IFG6.1: 100

Lee 2016

HbA1c5.7: 3497

HbA1c5.7: 100

Leiva 2014

IFG6.1: 28/94

IFG6.1: 29.8

Levitzky 2008

Not reported

Li 2003

i‐IFG6.1: 42/644
i‐IGT: 118/644
IFG/IGT: 49/644

i‐IFG6.1: 6.5

i‐IGT: 18.3

7.6

Ligthart 2016

IFG6.1: 1382/10,050

IFG6.1: 13.8

Lipska 2013

IFG5.6: 189/1690
i‐HbA1c5.7: 207/1690
IFG/HbA1c: 169/1690

i‐HbA1c: 12.2

IFG5.6: 11.2

10.0

Liu 2008

IFG5.6: 169/1844

IFG5.6: 9.2

Liu 2014

'Prediabetes' (IFG or IGT): 450/2271

19.8

Liu 2016

IFG6.1: 222/1857

IFG6.1: 12.0

Liu 2017

IFG5.6: 3607/18610

IFG5.6: 19.4

Lorenzo 2003

IFG6.1: 29/1734
IGT: 202/1734

IFG6.1: 1.7

11.6

Lyssenko 2005

i‐IFG6.1: 263/2115
i‐IGT: 250/2115
IFG/IGT: 173/2115

i‐IFG6.1: 12.4

i‐IGT: 11.8

8.2

Magliano 2008

Not reported

Man 2017

HbA1c5.7: 675/1137

HbA1c5.7: 59.4

Marshall 1994

IGT: 123

100

McNeely 2003

5–6 years:
IFG6.1: 30/465
IGT: 178/465
10 years:
IFG6.1: 28/412
IGT: 157/412

5–6 years:
IFG6.1: 6.5
10 years:
IFG6.1: 6.8

5–6 years:
38.3
10 years:
38.1

Meigs 2003

i‐IFG5.6: 126/753
i‐IGT(IFG5.6): 115/753
IFG5.6/IGT: 103/753

i‐IFG6.1: 20/753
i‐IGT(IFG6.1): 218/753
IFG6.1/IGT: 27/753

i‐IFG5.6: 16.7
i‐IFG6.1: 2.7

i‐IGT5.6: 15.3

i‐IGT6.1: 29

IFG5.6/IGT: 13.7
IFG6.1/IGT: 3.6

Mohan 2008

IGT: 37/513

7.2

Motala 2003

IGT: 35/563

6.2

Motta 2010

IFG6.1: 295/2603

IFG6.1: 11.3

Mykkänen 1993

IGT: 203/892

22.8

Nakagami 2016

IFG5.6: 467/2267

IFG6.1: 134/2267
HbA1c5.7: 583/2267

HbA1c6.0: 156/2267

HbA1c5.7: 25.7

HbA1c6.0: 6.9

IFG5.6: 20.6

IFG6.1: 5.9

Nakanishi 2004

IFG6.1: 246/5588

IFG6.1: 4.4

Noda 2010

IGF5.6: 558/2207
IFG6.1: 153/2207

IFG5.6: 25.3
IFG6.1: 6.9

Park 2006

IFG5.6: 321/5296

IFG5.6: 6.1

Peterson 2017

IGT: 29/74

39.2

Qian 2012

i‐IFG6.1: 46/1042
i‐IGT: 120/1042
IFG/IGT: 33/1042

i‐IFG6.1: 4.4

i‐IGT:11.5

3.2

Rajala 2000

IGT: 100

100

Ramachandran 1986

IGT: 107

100

Rasmussen 2008

i‐IFG5.6: 607/1510
i‐IGT 903/1510

i‐IFG5.6: 40.2

i‐IGT: 59.8

Rathmann 2009

i‐IFG6.1: 71/887
i‐IGT: 120/887
IFG/IGT: 47/887

i‐IFG6.1: 8

i‐IGT: 13.5

5.3

Rijkelijkhuizen 2007

IFG5.6: 488/1428
IFG6.1: 149/1428

IFG5.6: 34.2
IFG6.1: 10.4

Sadeghi 2015

'Prediabetes' (IFG5.6 and/or IGT): 373/2980

12.5

Sasaki 1982

IGT: 13/207

6.3

Sato 2009

Unclear

Schranz 1989

IGT: 75/2128

3.5

Sharifi 2013

IFG5.6: 123

IFG5.6: 100

Shin 1997

IGT: 153/1193

12.8

Söderberg 2004

i‐IFG6.1:
87–98: 402/6690
87–92: 149/3193
92–98: 253/3437
IGT:
87–98: 1253/6690
87–92: 600/3193
92–98: 662/3437

i‐IFG6.1:
87–98: 6
87–92: 4.7
92–98: 7.4

87–98: 18.9 87–92: 18.8 92–98: 19.3

Song 2015

IFG5.6: 321/2467

IFG5.6: 13

Song 2016a

'Prediabetes': 344

100

Soriguer 2008

IFG5.6: 56/714
IGT: 54/714
IFG/IGT: 28/714

IFG5.5: 7.8

7.6

3.9

Stengard 1992

IGT: 234/637

36.7

Toshihiro 2008

IFG6.1: 14/128
IFG and/or IGT: 114/128

IFG and/or IGT: 89.1

IFG6.1: 10.9

Vaccaro 1999

i‐IFG5.6: 36/1141
i‐IGT: 861141
IFG/IGT: 11/1141

i‐IFG5.6: 3.1

i‐IGT: 7.5

1.0

Valdes 2008

IFG5.6: 114/630

IFG6.1: 52/630
IGT: 50/630

IFG5.6: 18.1
IFG6.1: 8.3

7.9

Vijayakumar 2017

IFG5.6 adults: 423/2005

IFG5.6 children: 193/2095

HbA1c5.7 adults: 168/2005
HbA1c5.7 children: 62/2095

IGT adults: 347/2005

IGT children: 170/2095
IFG/IGT adults: 169/2005
IFG/IGT children: 53/2095

HbA1c5.7 adults: 8.4
HbA1c5.7 children: 3.0

IFG5.6 adults: 21.1
IFG5.6 children: 9.2

Adults: 17.3
Children: 8.1

IFG/IGT adults: 8.4
IFG/IGT children: 2.5

Viswanathan 2007

IGT: 619/1659

37.3

Wang 2007

IGT: 141/541

26

Wang 2011

i‐IGT total: 135/10

i‐IGT men: 29/447
i‐IGT women: 106/635

i‐IGT total: 12.5

i‐IGT men: 6.5
i‐IGT women: 16.7

Warren 2017

IFG5.6: 4112/10844
IFG6.1: 1213/10844
IGT: 2009/7194
HbA1c5.7: 2027/10844

HbA1c6.0: 970/10844

HbA1c5.7: 19

HbA1c6.0: 9

IFG5.6: 38
IFG6.1: 11

28

Wat 2001

IGT: 322

100

Weiss 2005

i‐IGT(IFG5.6): 33/117

i‐IGT: 28.2

Wheelock 2016

IGT: 169/5532

3.1

Wong 2003

IGT: 291

100

Yeboah 2011

IFG5.6: 940/6753

IFG5.6: 13.9

Zethelius 2004

IGT: 201/667

30.1

aTerm 'prediabetes' as used by study authors (usually defined by various combinations of glycaemic status measurements, e.g. IFG and/or IGT)

FG: fasting glucose; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated;IFG 5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; PG: postload glucose;IH: intermediate hyperglycaemia; T2DM: type 2 diabetes mellitus

Appendix 7. Follow‐up time and type of outcome measurement of the development of type 2 diabetes

Study ID

Length of follow‐up

Time‐points of measurements

Outcome measurement of the development of T2DM

Notes

Admiraal 2014

10 years

Baseline, follow‐up

Incidence, odds ratio

Data for total population/South‐Asian Surinamese/African Surinamese/"Ethnic Dutch"

Aekplakorn 2006

12 years

Baseline, follow‐up

Incidence, odds ratio

Ammari 1998

2 years

Baseline, follow‐up

Incidence

Anjana 2015

Median 9.1 years (IQR 2.6)

Baseline, follow‐up

Incidence, incidence rate

Bae 2011

4 years (mean 47.2 months)

Baseline, follow‐up (partially annually/biannually)

Incidence, incidence rate, hazard ratio

Baena‐Diez 2011

10 years

Baseline, follow‐up

Incidence

Bai 1999

1 year

Baseline, follow‐up

Incidence

Bergman 2016

24 years

Baseline, follow‐up

Incidence, odds ratio

Also adjusted for fasting blood glucose; 100 g OGTT

Bonora 2011

15 years

Baseline, follow‐up (5, 10, 15 years)

Incidence, incidence rate, hazard ratio

HbA1c category used: 6.0% to 6.49%

Cederberg 2010

Mean 9.7 years (SD 0.7)

Baseline, follow‐up

Incidence, risk ratio

Total incident cases = mixture of isolated and combined intermediate glycaemic conditions

Chamnan 2011

Median 3 years

Baseline, follow‐up

Incidence, odds ratio

Data for HbA1c 6.0% to 6.4% group, focus on clinically and/or biochemically diagnosed diabetes

Charles 1997

2 years

Baseline, follow‐up (5 annual clinical examinations)

Incidence

Chen 2003

3 years

Baseline, follow‐up

Incidence, odds ratio

Also adjusted for apolipoprotein B

Chen 2017

3 years

Baseline, follow‐up

Incidence

Coronado‐Malagon 2009

1 and 2 years

Baseline, follow‐up

Incidence, relative risk

Results are given for year 1/year 2 of follow‐up

Cugati 2007

10 years

Baseline, follow‐up (5 and 10 years)

Incidence, odds ratio

Odds‐ratio, age‐and sex‐adjusted

De Abreu 2015

10 years

Baseline, follow‐up

Incidence, incidence rate, odds ratio

Age‐standardised incidence rate; additional covariates: metabolic syndrome, fasting glucose at baseline

Den Biggelaar 2016

7 years

Baseline, follow‐up

Incidence

Derakhshan 2016

Median 11.7 years (IQR 8.4–13.2)

Baseline, follow‐up

Incidence rate, hazard ratio

Dowse 1991

Approx. 5 years

Baseline, follow‐up

Incidence, incidence rate, odds ratio

Incidence rates for the periods 1975/76–1982 and 1982–1987

Ferrannini 2009

7 years

Baseline, follow‐up

Incidence, relative risk

Filippatos 2016

10 years

Baseline, follow‐up (intermediate 5 ‐year follow‐up)

Incidence, odds ratio

Forouhi 2007

10 years

Baseline, follow‐up

Incidence, incidence rate, hazard ratio

Cumulative incidence increased across increasing age groups and was higher in men than in women

Garcia 2016

Approx. 9 years

Baseline, follow‐up (every 12–15 months, max. 6 follow‐ups)

Incidence

Gautier 2010

9 years

Baseline, follow‐up (3‐yearly examinations)

Incidence

Gomez‐Arbelaez 2015

Approx. 2 years

Baseline, follow‐up

Incidence, incidence rate

Rate was given in terms of per 100 person‐years (recalculated to 1000 person‐years)

Guerrero‐Romero 2006

5 years

Baseline, follow‐up

Incidence, incidence rate

Han 2017

12 years

Baseline, follow‐up (biannually)

Incidence, incidence rate, hazard ratio

Hanley 2005

Average 5.2 years (range 4.5–6.6)

Baseline, follow‐up

Incidence, odds ratio

Heianza 2012

Median 5 years

Baseline, follow‐up (annual follow‐ups)

Incidence, incidence rate, hazard ratio

Adjusted odds ratios: mean age and sex‐adjusted

Inoue 1996

2.5 years

Baseline, follow‐up

Incidence

Janghorbani 2015

Mean 6.8 years (SD 1.7)

Baseline, follow‐up (OGTT at 3‐year intervals)

Incidence, incidence rate, hazard ratio

Date for cohort without hypertension

Jaruratanasirikul 2016

3–6 years

Baseline, follow‐up

Incidence

Jeong 2010

5 years

Baseline, follow‐up

Odds ratio

Also adjusted for ALAT, ASAT, γ‐GT, h‐CRP

Jiamjarasrangsi 2008a

Mean 2.6 years (SD 0.97)

Baseline, follow‐up (annual follow‐ups, 1–4 years)

Incidence

Kim 2005

5 years

Baseline, follow‐up

Incidence, hazard ratio

Kim 2008

2 years

Baseline, follow‐up

Incidence

Kim 2014

Median 46 months

Baseline, follow‐up (every 3–6 months, up to 9 years)

Incidence

81 participants were diagnosed with diabetes with a conversion rate of 20% (81/406); conversion rates are given within prediabetes groups (e.g. 24/158 i‐IFG converters = 15.2%)

Kim 2016a

Mean 5.2 years (range 3.1–6.7)

Baseline, follow‐up

Incidence, odds ratio

Kleber 2010

1 year

Baseline, follow‐up

Incidence

Kleber 2011

Mean 3.9 years (SD 0.6)

Baseline, follow‐up

Incidence

Ko 1999

Mean 1.4 years (range 0.9–7.6)

Baseline, follow‐up (annual OGTTs)

Incidence

Ko 2001

Median 1.7 years

Baseline, follow‐up (annual OGTTs)

Incidence

Larsson 2000

Mean 10 years (SD 1 year 10 months)

Baseline, follow‐up

Incidence

Latifi 2016

Median 5 years

Baseline, follow‐up

Incidence, incidence rate, odds ratio

Lecomte 2007

5 years

Baseline, follow‐up

Incidence

Lee 2016

Mean 3.7 years (SD 2.3)

Baseline, follow‐up

Incidence

Leiva 2014

6 years

Baseline, follow‐up

Incidence, hazard ratio

Levitzky 2008

4 years

Baseline, follow‐up (approx. 4‐year intervals)

Incidence, odds ratio

Li 2003

5 years

Baseline, follow‐up (examination every 2 years)

Incidence, incidence rate, hazard ratio

Incidence rates for 5‐year cumulative incidence; further adjustments for HOMA‐IR and HOMA beta‐cell

Ligthart 2016

14.7 years

Baseline, follow‐up (blood glucose measures approx. every 4 years)

Incidence rate

Lipska 2013

7 years

Baseline (year 4), follow‐up (years 5,6,7)

Incidence, odds ratio

IFG6.1: sensitivity analysis, analysis for 'ethnicity', sex analysis

Liu 2008

5 years

Baseline, follow‐up

Incidence, incidence rate, relative risk

Liu 2014

3 years

Baseline, follow‐up

Incidence, incidence rate

No exact definition of 'prediabetes' and diabetes incidence

Liu 2016

Median 10.9 years (IQR 8.0–15.3)

Baseline, follow‐up

Hazard ratio

Subdistribution hazard ratios; also adjusted for self‐rated health

Liu 2017

7.8 years

Baseline, follow‐up

Odds ratio

Lorenzo 2003

7–8 years

Baseline, follow‐up

Incidence, odds ratio

Also adjusted for NCEP metabolic syndrome definition, fasting insulin

Lyssenko 2005

Median 6 years (range 2–12)

Baseline, follow‐up (every 2–3 years)

Incidence, hazard ratio

1372 persons 1 visit, 392 persons 2 visits, 219 persons 3 visits, 132 persons 4 visits

Magliano 2008

5 years

Baseline, follow‐up

Incidence, incidence rate, odds ratio

5‐year cumulative incidence rate was standardised to the 1998 Australian population (age and sex‐specific incidence rates)

Man 2017

6 years

Baseline, follow‐up

Incidence, incidence rate, risk ratio

Male: female, age standardised rate

Marshall 1994

Mean 22.6 months (range 11–40)

Baseline, follow‐up

Incidence

McNeely 2003

10 years

Baseline, follow‐up (5–6 years and 10 years)

Incidence

Meigs 2003

5 years, 10 years

Baseline, follow‐up (3 to 10 biennial examinations)

Incidence, incidence rate

Mohan 2008

Mean 8 years (SD 1.3)

Baseline, follow‐up

Incidence, incidence rate

Motala 2003

10 years

Baseline, follow‐up

Incidence

Motta 2010

3 years

Baseline, follow‐up

Incidence

Mykkänen 1993

Mean 3.5 years (42 months (SD 4))

Baseline, follow‐up

Incidence, odds ratio

Nakagami 2016

5 years

Baseline, follow‐up

Incidence, hazard ratio

Nakanishi 2004

7 years

Baseline, follow‐up (annual health examinations)

Incidence, incidence rate, relative risk

Also adjusted for all other components of the metabolic syndrome at study entry

Noda 2010

5 years

Baseline, follow‐up

Incidence

Park 2006

Mean 4.1 years

Baseline, follow‐up (annual examinations)

Incidence, incidence rate

Peterson 2017

10 years

Baseline, follow‐up

Incidence

Qian 2012

5 years

Baseline, follow‐up

Incidence

Rajala 2000

4.6 years (1.9–6.4)

Baseline, follow‐up (including a separate cohort)

Incidence, incidence rate

Ramachandran 1986

Reverters: 3.3 years (SD 2)

Converters: 5.1 years (SD 3.5)

Baseline, follow‐up ("periodically")

Incidence

All individuals were advised a calorie‐restricted high carbohydrate high‐fibre diet

Rasmussen 2008

3.5 years
i‐IFG5.6: median 2.5 years
i‐IGT: median 2.1 years

Baseline, follow‐up

Incidence, incidence rate

Rathmann 2009

7 years

Baseline, follow‐up

Incidence, incidence rate, odds ratio

Rijkelijkhuizen 2007

Mean 6.4 years

Baseline, follow‐up

Incidence, incidence rate

Sadeghi 2015

7 years

Baseline, follow‐up (biannual)

Incidence, incidence rate

Sasaki 1982

7 years

Baseline, follow‐up

Incidence,odds ratio

Sato 2009

4 years

Baseline, follow‐up

Odds ratio

Schranz 1989

6 years

Baseline, follow‐up

Incidence

Sharifi 2013

7 years

Baseline, follow‐up

Incidence

Shin 1997

2 years

Baseline, follow‐up

Incidence

Söderberg 2004

11 years

Baseline, follow‐up

Incidence, incidence rate

Incidence rates are given for periods 1987–1992 and 1992–1998, stratified by men:women

Song 2015

Median 3.97 years

Baseline, follow‐up

Incidence, relative risk

Also adjusted for glucose

Song 2016a

Mean 10.8 years (range 10.5–12)

Baseline, follow‐up (additional follow‐up 2014)

Incidence

Soriguer 2008

Mean 6 years

Baseline, follow‐up

Incidence, incidence rate, relative risk

Stengard 1992

5 years

Baseline, follow‐up

Incidence, odds ratio

Toshihiro 2008

Mean 3.2 years (SD 0.1)

Baseline, follow‐up (annual OGTT)

Incidence

Vaccaro 1999

11.5 years

Baseline, follow‐up

Incidence, odds ratio

Odds ratios probably unadjusted

Valdes 2008

Mean 6.3 years (5.9–6.8)

Baseline, follow‐up

Incidence, incidence rate, odds ratio

Also adjusted for 2‐h PG

Vijayakumar 2017

Adults median 4.6 years (IQR 2.8–7.9 )
Children: median 5.2 years (IQR 2.7–9.6)

Baseline, follow‐up (examinations every 2 years)

Incidence, incidence rate

Data for adults/children; incidence rate taken from figure 2 (boys:men; girls:women)

Viswanathan 2007

Median 5 years

Baseline, follow‐up (reminder to undergo an OGTT every 6 months)

Incidence, odds ratio

Also adjusted for FPG and 2‐h PG

Wang 2007

5 years

Baseline, follow‐up

Incidence, risk ratio

Wang 2011

4 years

Baseline, follow‐up

Odds ratio

Unclear which confounders were used in the multivariate model

Warren 2017

Cohort 1 (visit 2): 22 years

Cohort 2 (visit 4): 16 years

Baseline, follow‐up (3 visits every 3 years, 5th visit 2011–13)

Hazard ratio

Data for IFG5.6, IFG6.1, HbA1c5.7, HbA1c6.0, IGT (cohort 2 only)

Wat 2001

2 years

Baseline, follow‐up

Incidence

Weiss 2005

Mean 20.4 months (SD 10.3)

Baseline, follow‐up (biannual)

Incidence

Wheelock 2016

Median 12.4 years (IQR 6.0–22.9)

Baseline, follow‐up (approx. annual intervals for repeated OGTTs)

Incidence

Non‐overweight participants with IGT cohort and overweight participants with IGT group

Wong 2003

8 years

Baseline, follow‐up

Incidence

Odds ratios from Tai 2004

Yeboah 2011

7.5 years

Baseline, follow‐up (3 examinations)

Incidence, hazard ratio

Zethelius 2004

7 years

Baseline, follow‐up

Odds ratio

Also adjusted for (split) proinsulin, intact insulin

ALAT: alanine aminotransferase; ASAT: aspartate transaminase; FG: fasting glucose; FPG: fasting plasma glucose; h‐CRP: high‐sensitivity C‐reactive protein; HOMA‐beta: homeostatic model assessment of beta‐cell function; HOMA‐IR: homeostatic model assessment of insulin resistance; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IQR: interquartile range; NCEP: national cholesterol education program; OGTT: oral glucose tolerance test; PG: postload glucose; SD: standard deviation; T2DM: type 2 diabetes mellitus; γ‐GT: gamma‐glutamyl transferase/transpeptidase

Appendix 8. Baseline characteristics (I)

Study ID

Setting

N participants in original cohort
(several phases of the cohort study)

N study sample
(several phases of the cohort study)

Notes

Admiraal 2014

Amsterdam, The Netherlands

2975

456

Baseline data for total cohort included in the analyses (N = 456)/South‐Asian Surinamese (N = 90)/African Surinamese (N = 190)/"ethnic Dutch" (N = 176)

Aekplakorn 2006

Bangkok, Thailand

3499/3245

2667

Baseline data for cohort becoming diabetic (N = 361)

Ammari 1998

Jordan

Unclear

121/68–200/144 (controls)

Few baseline data reported for study population (N = 212)

Anjana 2015

Chennai, India

26,001

3589/2207

Baseline data for cohort becoming diabetic at follow‐up (N = 176)

Bae 2011

South Korea

10,959

9723

Baseline data for the total cohort (N = 9723)

Baena‐Diez 2011

Barcelona, Spain

2248

168

Baseline data for prediabetic cohort (N = 115)

Bai 1999

Chennai, India

4885/1082

1082/696

Baseline data for the IGT cohort (N = 252)

Bergman 2016

Israel

1970

1037

Baseline data for IGT cohort (N = 24)

Bonora 2011

Bruneck (South Tyrol), Italy

1000

936

No baseline data (except white participants aged > 40 years, N = 919)

Cederberg 2010

Finland

593

553/499

Baseline data for the cohort (total N = 553, men N = 223, women N = 330)

Chamnan 2011

Norfolk (East Anglia), UK

77,630/25,639

6372/5735

Baseline data for HbA1c6.0‐6.4 cohort (N = 370)

Charles 1997

Paris, France

Unclear

7540 (2nd clinical examination)/4089

Baseline data for individuals with IGT converting to T2DM (N = 32)

Chen 2003

Penghu, Taiwan

1601

1306/600

Baseline data for cohort converting to T2DM (N = 26)

Chen 2017

China

8845

1374

Baseline data for i‐IFG/i‐IGTand IFG/IGT across age groups < 40 years + > 60 years (data indicate range across groups) (i‐IFG < 40 years N = 51 and > 60 years N = 278; i‐IGT < 40 years N = 41 and > 60 years N = 151; IFG/IGT: < 40 years N = 34 and > 60 years N = 175)

Coronado‐Malagon 2009

Mexico

820

656

Baseline characteristics for the prediabetic cohort (N = 217)

Cugati 2007

Australia, Blue Mountains region

4433/3654

2335 (5 years)/1952 (10 years)/2123 complete data (10 years)

Baseline data for people without diabetes (N = 3437)

De Abreu 2015

Australia

Unclear

1167/395 (IFG5.6)

Baseline data for IFG cohort at baseline (N = 187)

Den Biggelaar 2016

The Netherlands

574/491

476

Baseline data for prediabetic group (N = 122)

Derakhshan 2016

Tehran, Iran

12808

8231

Baseline data for prediabetes group with normal blood pressure

Dowse 1991

Nauru, Micronesia

1497/1201

830 (1982/1987‐including 143 nondiabetic person from 1975/76)

No baseline data provided

Ferrannini 2009

Mexico

3505

2282/1963

Baseline characteristics: range across different definitions of prediabetes

Filippatos 2016

Attica, Greece

4056/3042/1875

1485

Baseline data for IFG5.6 cohort (N = 343)

Forouhi 2007

Ely (Cambridgeshire), UK

1571/1122 (phase 1)/912 (phase 2)

683 (phase 3)

Baseline data for IFG6.1 cohort (N = 257)

Garcia 2016

Sacramento (CA), USA

1789

1777

Baseline data for prediabetic cohort (N = 310)

Gautier 2010

France

3817

979

No baseline data

Gomez‐Arbelaez 2015

Columbia

2012

772

Baseline data for the total cohort (N = 772)

Guerrero‐Romero 2006

Durango, Mexico

Unclear

375

Baseline data for IGT cohort at baseline progressing to T2DM (N = 20); all individuals were counselled on the importance of diet and physical exercise (standard care for the whole cohort)

Han 2017

Ansung‐Ansan, South Korea

10,030

7542

Baseline data for i‐IFG, i‐IGT and IFG/IGT cohort

Hanley 2005

USA

1625

822

Baseline data for diabetic cohort at follow‐up (N = 131); participants were recruited from 2 population‐based studies: the San Antonio Heart Study and the San Luis Valley diabetes study

Heianza 2012

Japan

32057

6636/6241

Baseline data for total cohort (N = 6241)

Inoue 1996

Gunma (Gyeonggi), Japan

Unclear

Unclear

Baseline data for the IGT cohort (N = 37)

Janghorbani 2015

Isfahan, Iran

3370

1489

Baseline data for i‐IFG, i‐IGT and IFG/IGT cohort at baseline (N = 770); first‐degree relatives of people with T2DM

Jaruratanasirikul 2016

Thailand

181

177 (157)

Baseline data for IGT cohort (N = 27)

Jeong 2010

Dalseong County, South Korea

1806/1599

1474

1287 participants were re‐evaluated in 2008 and 187 new participants "added to the study"; baseline data for participants with incident diabetes (N = 135)

Jiamjarasrangsi 2008a

Bangkok, Thailand

3989

3243/2370

Baseline data for total cohort becoming diabetic at follow‐up (N = 48)

Kim 2005

Seoul, South Korea

20,203/15,936

2964

Baseline data for FPG group 4 (6.1–7.0) with baseline and follow‐up (N = 276)

Kim 2008

Incheon, South Korea

7510

7211

Baseline data for IFG5.6/IFG6.1 cohort (N = 1335/494)

Kim 2014

Seoul, South Korea

418

418

Baseline data for i‐IFG (N = 158)/i‐IGT (N = 65)/IFG/IGT (N = 119)/i‐HbA1c (N = 64); total (N = 406)

Kim 2016a

Seoul, South Korea

19,356

17,971

2 baseline data cohorts: prediabetes by FPG only and HbA1c only (N = 3544 and N = 1713)

Kleber 2010

Germany

79

79

Baseline data for IGT cohort (N = 79)

Kleber 2011

Germany

128

128

Baseline data for IFG cohort (N = 128)

Ko 1999

Hong Kong

123

123

Baseline data for the IGT cohort (N = 123)

Ko 2001

Hong Kong

657

319

Baseline data for IFG cohort (N = 55)

Larsson 2000

Sweden

1843

265

Baseline data for i‐IGT (N = 66)/i‐IFG (N = 42)/IFG/IGT (N = 30); 265 follow‐up participants were randomly sampled from each glucose tolerance group of the original cohort and invited for follow‐up

Latifi 2016

Ahvaz (Khuzestan), Iran

12,514/6640

Unclear/593

Baseline for prediabetic cohort becoming diabetic at follow‐up

Lecomte 2007

France

56,650

4532

Baseline data for IFG cohort attending both examinations (N = 743)

Lee 2016

South Korea

6246

5528

Baseline data for the total cohort (N = 3497)

Leiva 2014

Chile

1007

177

Most baseline data for cohort becoming diabetic at follow‐up (N = 94 with IFG)

Levitzky 2008

Framingham (MA), USA

Unclear

3634

Baseline data for individuals on first exam, free of cardiovascular disease (N = 4058)

Li 2003

Kinmen, Taiwan

Unclear

644

Baseline data for i‐IGT (N = 118)/i‐IFG (N = 42)/IFG/IGT (N = 49)

Ligthart 2016

Rotterdam, The Netherlands

14,926/11,740

11,740/10,050

Baseline data for prediabetic cohort (N = 1382)

Lipska 2013

USA

3075

1690

Baseline data for i‐IFG (N = 189)/i‐HbA1c5.7 (N = 207)/IFG/HbA1c (N = 169)

Liu 2008

Jiang Su province, China

6400/5888

1844

Baseline data for non‐diabetic participants (N = 1844); M (N = 788)/W (N = 1056)

Liu 2014

Shanghai, China

4556

3174

Baseline data for the prediabetic cohort converting to T2DM (N = 78)

Liu 2016

Beijing, China

2101

1857

Baseline data for participants without diabetes at baseline (N = 1857)

Liu 2017

China

27,020

23,626/18,610

Baseline data for IFG cohort at baseline (N = 3607)

Lorenzo 2003

San Antonio (TX), USA

2941/2569

1734

Baseline data for cohort converting to T2DM (N = 195)

Lyssenko 2005

Finland

Unclear

2115

Baseline data for IFG‐IGT individuals who converted to T2DM (N = 86)

Magliano 2008

Australia

20,347/11,247

6537

Baseline data for cohort becoming diabetic at follow‐up (N = 224)

Man 2017

Singapore

3280

1279/1137

Baseline data for incident diabetes cohort (N = 127)

Marshall 1994

Colorado, USA

1321

173/134

Baseline data for IGT cohort converting to T2DM (N = 20)

McNeely 2003

Seattle (WA), USA

518

465 (5 years)/412 (10 years)

Baseline data for cohort converting to T2DM at 5–6 years (N = 50) and 10 years (N = 74)

Meigs 2003

Baltimore (MD) and Washington, D.C., USA

Unclear

815/753

Baseline data for the IFG‐IGT cohort (N = 265); follow‐up time: at least 6 years 77%, at least 10 years 44%, at least 16 years 16%, at least 20 years 4.5%

Mohan 2008

Chennai, India

1061

513

Baseline data for cohort becoming diabetic at follow‐up (N = 64)

Motala 2003

Durban (KwaZulu‐Natal), South Africa

2479

563

Baseline data for responders (both baseline and follow‐up examination) (N = 563)

Motta 2010

Italy

2603

2603

No baseline data provided

Mykkänen 1993

Kuopio (Northern Savonia), Finland

1300

1054/892

Baseline data for cohort developing T2DM (N = 69)

Nakagami 2016

Japan

6012

2770/2267

Baseline data for cohort converting to T2DM (N = 99)

Nakanishi 2004

Japan

Unclear/6812

5746

Baseline characteristics for IFG cohort (N = 246)

Noda 2010

Japan

22387

2207

Baseline characteristics for the total cohort (N = 2207)

Park 2006

South Korea

6305

5557

Baseline data for incident diabetic participants with IFG at baseline (N = 40)

Peterson 2017

Sweden

119

87/74/29

Baseline data for IGT cohort (N = 29)

Qian 2012

Shanghai, China

1869

1042

Baseline data for cohort progressing to T2DM (N = 377)

Rajala 2000

Oulo (North Ostrobothnia), Finland

1008/768

183 (1st)/193 (2nd, other group)

Few baseline data for IGT cohort (N = 171)

Ramachandran 1986

Madras, India

Unclear

107

Baseline data for the diabetic cohort at follow‐up (N = 39)

Rasmussen 2008

Denmark

1821

1510/1002

Baseline data for IFG (N = 607)/IGT cohort (N = 903)

Rathmann 2009

Augsburg (Bavaria), Germany

2656

1202

Baseline data for total cohort (follow‐up participants, age‐group 55–74 years, N = 887)

Rijkelijkhuizen 2007

The Netherlands

2484/1513

1428

Baseline data for IFG6.1 (N = 149)/IFG5.6 (N = 488)

Sadeghi 2015

Isfahan, Iran

6323

2980

Baseline data for prediabetic cohort becoming diabetic at follow‐up (N = 131)

Sasaki 1982

Osaka, Japan

507

207

Baseline data for the IGT cohort (N = 13)

Sato 2009

Japan

12,647

9116/6804

Baseline data for cohort becoming diabetic at follow‐up (N = 659)

Schranz 1989

Malta

2128

1422

Baseline data for diabetic cohort at follow‐up (N = 166)

Sharifi 2013

Zanjan, Iran

2941

395

Baseline data for active participants (N = 123)

Shin 1997

Yonchon County, South Korea

2520/2293

2248/1193

Baseline data for individuals converting to T2DM (N = 67)

Söderberg 2004

Mauritius

5083/6616/6291

Unclear

Baseline data for cohort 1987–1998 (N = 2631), 10 years follow‐up; 3 cohorts 1987–1992 (N = 3680), 1992–1998 (N = 4178), 1987–1998 (N = 2631)

Song 2015

South Korea

4899

2079

Baseline data for prediabetic cohort (men N = 154; women N = 167; total N = 321)

Song 2016a

Shanghai, China

2132

778/526

Baseline data for prediabetic cohort (N = 334)

Soriguer 2008

Pizarra (Andalusia), Spain

1051

824

Baseline data for final sample of follow‐up (N = 714)

Stengard 1992

Finland

1711

716/637

Baseline data for IGT cohort converting to T2DM (N = 17)

Toshihiro 2008

Japan

732

128

Baseline data for cohort becoming diabetic at follow‐up (N = 36); participants with IFG and/or IGT were given advice about lifestyle modifications once or twice a year

Vaccaro 1999

Naples, Italy

1285/1245

1141/560

Baseline data for total cohort (follow‐up examination N = 560)

Valdes 2008

Spain

1626/1034

943/630

Baseline data for IFG5.6–6.1 (N = 114)/IFG6.1–6.9 (N = 52)

Vijayakumar 2017

Phoenix (AZ), USA

Unclear

2095 (10–19 years)/2005 (20–39 years)

Baseline data for adults/children with HbA1c 5.7%‐6.4% (children N = 62, adults N = 168)

Viswanathan 2007

India (probably Chennai)

4084

1659

Baseline data for IGT group (N = 619); participants were given advice on preventive measures such as dietary modifications and regular exercise

Wang 2007

Beijing, China

20,682/1566

902

Baseline data for cohort with incident diabetes and no coronary heart disease (N = 67)

Wang 2011

Arizona/North/South Dakota/Oklahoma, USA

Unclear

2849/1670 (2nd exam)

No baseline data

Warren 2017

USA, 4 communities

15,792

Cohort 1, N = 10844: 1990–1992 (FG, HbA1c) as baseline

Cohort 2, N = 7194: 1996–1998 (FG, 2‐h glucose) as baseline

2 different baseline cohorts; 4 prediabetes definitions (visit 2: IFG5.6–6.9 N = 4112; HbA1c5.7‐6.4 N = 2027; visit 4: IFG5.6–6.9 N = 2142; IGT N = 2009)

Wat 2001

Hong Kong

2900

434/322

Baseline data for IGT cohort (N = 322)

Weiss 2005

Conneticut, USA

129

117

Baseline data for IGT cohort (N = 33)

Wheelock 2016

Arizona, USA

Unclear

5532

Baseline data for the full cohort (N = 5532); prediabetic cohort = non‐overweight (N = 37) + IGT group and overweight + IGT group (N = 132); 5–11 years/12–19 years

Wong 2003

Singapore

3568

469/291

Baseline data for IGT group (N = 291)

Yeboah 2011

USA

6814

6814/6753

Baseline data for IFG cohort (N = 940)

Zethelius 2004

Uppsala, Sweden

2322/1221/1010

840/667

Baseline data for cohort converting to T2DM (N = 26)

FG: fasting glucose; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; PG: postload glucose; T2DM: type 2 diabetes mellitus

Appendix 9. Baseline characteristics (II)

Study ID

Sex, %
women

Age (SD),
years

'Ethnicity', % white

'Ethnicity',
% Arabian/Asian/(Pima) Indians

'Ethnicity',
%
Hispanic

'Ethnicity',
%
Black

Family history of diabetes,
%

BMI (SD),
kg/m2

Notes

Admiraal 2014

59
57
68
51

45
44
44
47

39

20

42

55
77
59
38

26.4
25.7
27.4
25.6

Total cohort
South‐Asian Surinamese
African Surinamese
"Ethnic Dutch"
(the Netherlands)

Aekplakorn 2006

19

43.6 (5.0)

100

53

24.8 (3.2)

Ammari 1998

63% > 40

100

99

Anjana 2015

61

47 (13.1)

100

47

25.8 (4.3)

Bae 2011

25

44.7 (5.4)

100

23.8 (2.8)

Baena‐Diez 2011

52

61.2 (11.8)

100

26

Bai 1999

35

Mainly 40–60+

100

Bergman 2016

38

50.5 (8.3)

42

29

47

Men: 26.5 (3.8)
Women: 26.8 (5.2)

Bonora 2011

100

Cederberg 2010

100

Men: 27.6 (3.5)
Women: 27.9 (4.5)

Chamnan 2011

54

62.4 (8.2)

100

14

26.6 (4.0)

Charles 1997

0

48.8 (1.8)

100

27 (4)

Chen 2003

49

59.6

100

21

25.7 (3.1)

Chen 2017

54–58

40–67

100

9–37

23.8–24.8

Coronado‐Malagon 2009

10

47.9 (8.6)

100

26.8 (3.0)

Cugati 2007

57

67.4

100

19

26

De Abreu 2015

100

53.8 (IQR 44.0–64.4)

Mostly white Australians

27.7 (IQR 24.3–31.4)

Den Biggelaar 2016

39

60.8 (IQR 55.3–64.9)

100

28.0 (IQR 26.5–31.2)

Derakhshan 2016

56

42.8 (11.7)

100

26.9 (4.1)

Dowse 1991

100

Ferrannini 2009

52–70

47–50

100

27–45

29.1–30.5

Filippatos 2016

35

46.4 (12.4)

100

22

27.4 (4.7)

Forouhi 2007

44

55.5 (7.9)

100

27.8 (4.6)

Garcia 2016

69.8 (6.9)

49

31.1 (5.6)

Gautier 2010

31

30–64

100

Gomez‐Arbelaez 2015

70

58 (12)

100

27.4 (4.6)

Guerrero‐Romero 2006

38

100

32.9 (5.6)

Han 2017

28

60

33

50.4 (8.3)

53.1 (8.9)

52.4 (8.7)

100

100

100

15

12

15

25.5 (3.4)

24.9 (3.2)

25.4 (3.2)

i‐IFG5.6

i‐IGT

IFG/IGT

Hanley 2005

60

56.2 (7.9)

38

36

26

Heianza 2012

25

49.9 (8.7)

100

22.8 (2.8)

Inoue 1996

100

23.2

Janghorbani 2015

44.4
42.9

44.1

100

100

29.2
29.0
30.0

i‐IFG
i‐IGT
IFG/IGT

Jaruratanasirikul 2016

37

12.4 (2.3)

100

35.3 (5.8)
BMI SDS: 3.66 (0.86)

Jeong 2010

61 (9)

100

7

24.6 (3.2)

Jiamjarasrangsi 2008a

67

49.5 (12)

100

15

26.9 (0.6)

Kim 2005

15

50.7 (7.2)

100

9

24.6 (2.2)

Kim 2008

7
5

41
43

100

9
8

24
25

IFG5.6
IFG6.1

Kim 2014

49
57
48
56

60.2 (11.3)
63.0 (11.0)

59.1 (10.1)

59.3 (10.1)

100

29
14
22
16

24.7 (3.0)
23.2 (3.5)
25.1 (3.3)
24.9 (4.7)

i‐IFG
i‐IGT
IFG/IGT
i‐HbA1c

Kim 2016a

24
47

49.5
51.2

100

22
22

24.4
23.9

IFG

HbA1c

Kleber 2010

51

13.1 (2.1)

100

31.8 (6.3)
BMI SDS: 2.56 (0.62)

Kleber 2011

53

13.5 (2.1)

100

31.7 (6.1)

Ko 1999

88

22–26

100

Ko 2001

84

37.4 (9.3)

100

38

25.9 (4.0)

Larsson 2000

100

66 (2.3)

100

24.6
26.2
26.7

i‐IGT
i‐IFG
IFG/IGT
(age at follow‐up)

Latifi 2016

38

46.6 (12.5)

100

80

Lecomte 2007

0

44.5 (7.5)

100

3

26.4 (3.6)

Lee 2016

33

46.1 (8.5)

100

24

24.8 (3.1)

Leiva 2014

57

25–80

100

33.1 (4.3)

Levitzky 2008

53

Women: 48

Men: 49

Mainly white

Men: 27.3 (3.9)

Women: 25.6 (5.4)

Li 2003

57
36
53

56.1
48.4
58.9

100

24.8
23.8
25.5

i‐IGT
i‐IFG
IFG/IGT

Ligthart 2016

51

66.6 (9.4)

92

27.9 (4.2)

Lipska 2013

33
60
47

76.6
76.7
76.6

82
36
60

27.9
27.9
29.0

i‐IFG
i‐HbA1c
IFG + HbA1c

Liu 2008

57

Men: 52
Women: 50

100

Men: 6
Women: 8

Liu 2014

48

68.6 (6.7)

100

23.5 (3.0)

Liu 2016

Men: 70
Women: 69

100

Liu 2017

50

50.9 (9.7)

100

24.2 (3.6)

Lorenzo 2003

61

47.7 (0.8)

19

81

46

31.3

Lyssenko 2005

50

52 (11)

100

100

Magliano 2008

49

55.8 (12.0)

85

31

Men: 29.3 (0.4)
Women: 29.7 (0.6)

Man 2017

57

54.4 (9.7)

100

39

28.5 (5.3)

Marshall 1994

75

58.6

40

60

53

29.2

McNeely 2003

52

41

58.9

57.5

100

60

62

24.9

25.1

5–6 years follow‐up
10 years follow‐up

Meigs 2003

28

61.8 (14)

95

29

≥ 25: 60%

Mohan 2008

43 (14)

100

28

24.4 (4.4)

Motala 2003

60

36.4 (13.9)

100

45

22.6 (6.0)

Motta 2010

65–84

100

Mykkänen 1993

57

68.6

100

29

29

Nakagami 2016

27

53 (7)

100

19

24.6 (3.5)

Nakanishi 2004

0

49 (5.8)

100

16

24.6 (3.0)

Noda 2010

63

Men: 62.4

Women: 61.5

100

Men: 24.1 (3.0)

Women: 24.2 (3.2)

Park 2006

0

36.4 (3.9)

100

24.8 (3.0)

Peterson 2017

48

61.4 (0.8)

100

26.9 (5.4)

Qian 2012

60 (13)

100

24.9 (3.7)

Rajala 2000

58

100

Ramachandran 1986

31

48

100

49

25.2

Rasmussen 2008

43
56

59.9
61.2

100

29.1
29.6

IFG

IGT

Rathmann 2009

49

63.2 (5.4)

100

23

28.1 (4.0)

Rijkelijkhuizen 2007

46
53

62.5
61.5

100

27.6
27.0

IFG6.1
IFG5.6

Sadeghi 2015

59

51.3 (9.8)

100

20

29.4 (4.5)

Sasaki 1982

54

57.4

100

Sato 2009

0

48.6 (4.2)

100

20

24.7 (3.3)

Schranz 1989

56

Women: 59.8

Men: 57.7

100

Sharifi 2013

63

40 (14)

100

27.5 (4)

Shin 1997

34

59.6

100

6

24.5

Söderberg 2004

56

41.2

70

30

23.9

Song 2015

52

56–57

100

Men: 10

Women: 22

Men: 25.2 (2.7)

Women: 25.8 (3.4)

Song 2016a

63

57.2 (10.0)

100

Soriguer 2008

65

45.0 (13.4)

100

58

28.3 (5.2)

Stengard 1992

0

70.8 (4.8)

100

26.1 (4.2)

Toshihiro 2008

0

50.5 (5.8)

100

24.9 (3.3)

Vaccaro 1999

23

44.1 (4.0)

100

26.9 (4.4)

Valdes 2008

54.8
56.7

100

28.2
29.8

IFG5.6
IFG6.1

Vijayakumar 2017

97
79

29.9
14

100

39.1

32.0

Adults

Children

Viswanathan 2007

39

42.4 (9.8)

100

Wang 2007

46

47.9 (10.7)

100

25.2 (3.5)

Wang 2011

100

Warren 2017

48

57.6 (5.7)

25

25

28.9 (5.2)

Data for cohort 1 (IFG5.6)

Wat 2001

57

51

100

25.6

Weiss 2005

73

12.5 (2.7)

45

39

12

36.6 (8.7)
BMI z score: 2.42 (0.41)

Wheelock 2016

53

11.4 (3.6)

100

100

Percentile: 87.6

Wong 2003

53

43.8

100

28

25.2

Yeboah 2011

44

64.2 (9.8)

31

15

25

30

30.1 (5.7)

Zethelius 2004

0

77

100

26.7 (3.2)

BMI: body mass index; FG: fasting glucose; FPG: fasting plasma glucose; i‐HbA1c: (isolated) glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IQR: interquartile range; SD: standard deviation; SDS: standard deviation score

Appendix 10. Baseline characteristics (III)

Study ID

Mean (SD)/median (IQR)/range systolic BP, mmHg

Mean (SD)/median (IQR)/range diastolic BP (SD), mmHg

Smoking: current and/or past, %

Medications, %

Comorbidities, %

Mean (SD)/median (IQR)/range FPG,
mmol/L

Mean (SD)/median (IQR)/range 2‐h glucose, mmol/L

Mean (SD)/median (IQR)/range HbA1c,
%

Notes

Admiraal 2014

38
26
41
41

Hypertension:

26

26

32

19

5.2
5.3
5.2
5.3

Total cohort

South‐Asian Surinamese

African Surinamese
"Ethnic Dutch"

Aekplakorn 2006

42

Hypertension: 33

Ammari 1998

Hypertension: 47

Anjana 2015

129 (21)

78 (11)

13

5.2 (0.6)

8.7 (1.4)

6.2 (0.7)

Bae 2011

113 (14)

76 (10)

5.3 (0.5)

5.4 (0.3)

Baena‐Diez 2011

33

Hypercholesterolaemia: 38 Hypertriglyceridaemia: 15
Hypertension: 55

Bai 1999

Bergman 2016

128 (16)

84 (10)

38

5.2 (0.5)

8.6 (1.0)

Bonora 2011

Cederberg 2010

Men: 142
Women: 142

Men: 80
Women: 79

Men: 18
Women: 15

Men: 5.0
Women: 5.0

Men: 6.8
Women: 7.0

Chamnan 2011

139 (17)

84 (11)

15

BP lowering: 21
Corticosteroids: 4

Charles 1997

6.6 (0.8)

9.3 (0.9)

Chen 2003

38

Hypertension: 46

Chen 2017

12–24

Hypertension: 28–55

5.1–6.1

5.9–9.2

Range for i‐IFG, i‐IGT and IFG/IGT cohorts separated by < 40 years and > 60 years

Coronado‐Malagon 2009

5.9 (0.3)

Cugati 2007

146

83

5

De Abreu 2015

128 (IQR 114–140)

79 (IQR 72–86)

13

Hypertension: 43

5.3 (IQR 5.0–5.8)

Den Biggelaar 2016

141 (IQR 132–155)

83 (IQR 78–92)

18

6.0 (IQR 5.5–6.3)

8.8 (IQR 7.8–9.9)

5.8 (IQR 5.6–6.1)

Derakhshan 2016

26

Dowse 1991

Ferrannini 2009

118–128

71–78

4.9–6.4

6.7–9.5

Range for i‐IFG5.6, i‐IFG6.1, i‐IGT, IGT5.6 and IGT6.1 cohorts

Filippatos 2016

127 (17)

82 (10)

62

Hypertension: 36

Hypercholesterolaemia: 54

5.9 (0.3)

Forouhi 2007

136 (16)

82 (10)

52

Garcia 2016

58

Gautier 2010

Gomez‐Arbelaez 2015

5.2 (0.7)

6.0 (1.8)

6.5 (1.3)

Guerrero‐Romero 2006

Dyslipidaemia: 41
Hypertension: 24

6.4 (0.6)

Han 2017

120 (17)

119 (18)

124 (18)

78 (12)

76 (12)

80 (11)

64

34

59

Hypertension:

28

27

36

5.9 (0.3)

4.8 (0.4)

5.9 (0.3)

6.1 (1.2)

8.9 (0.9)

9.3 (0.9)

5.5 (0.4)

5.5 (0.4)

5.7 (0.4)

i‐IFG5.6

i‐IGT

IFG/IGT

Hanley 2005

132 (20)

79 (10)

BP lowering: 38
Lipid lowering: 7

5.9 (0.7)

8.5 (1.7)

Heianza 2012

125 (16)

76 (11)

5.3 (0.5)

5.3 (0.3)

Inoue 1996

142 (9)

73 (7)

Janghorbani 2015

116–117

76–77

Hypertension: 20–23

5.1–61

5.9–9.2

5.1–5.3

Range for i‐IFG, i‐IGT and IFG/IGT cohorts

Jaruratanasirikul 2016

124 (15)

77 (9)

Jeong 2010

139 (21)

87 (12)

43

5.7 (0.5)

Jiamjarasrangsi 2008a

4

Kim 2005

6.4 (0.2)

Kim 2008

128/132

80/83

5.8/6.4

Kim 2014

127–129

78

20–31

Range for i‐IFG, i‐IGT, IFG/IGT and i‐HbA1c cohorts

Kim 2016a

116–120

72–75

24–25

5.1–5.9

5.3–5.8

Range for IFG and HbA1c cohorts

Kleber 2010

120 (16)

73 (13)

5.1 (1.1)

8.5

5.6 (0.7)

Kleber 2011

120 (14)

73 (12)

4.8 (0.4)

8.4 (0.6)

Ko 1999

Ko 2001

125 (21)

78 (10)

2

6.5 (0.3)

9.1 (2.1)

6.2 (0.6)

Larsson 2000

4.7/5.5/5.5

8.6/6.8/8.7

Latifi 2016

Hypertension: 40

Lecomte 2007

135 (13)

81 (10)

23

Hypertension: 48

6.4 (0.2)

Lee 2016

125 (15)

81 (11)

20

Hypertension: 22

5.9 (0.2)

Leiva 2014

134 (16)

77 (10)

Levitzky 2008

Women: 122
Men: 127

Women: 29
Men: 28

Antihypertensives: Women: 14
Men: 16

Hypertension:

Women: 26
Men: 35

Li 2003

136–138

85–87

5.4–6.4

6.8–9.1

Range for i‐IFG, i‐IGT and IFG/IGT cohorts

Ligthart 2016

145 (21)

81 (12)

50

BP lowering: 33
Lipid lowering: 18

Stroke: 3
CHD: 8

Hypertension: 64

Lipska 2013

140–143

54–65

5.1–6.1

5.3–5.9

Range for i‐IFG, i‐HbA1c and IFG/HbA1c cohorts

Liu 2008

Men: 126
Women: 124

Men: 80
Women: 77

Men: 5.3
Women: 5.4

Liu 2014

132 (16)

82 (8)

5.8 (0.8)

9.2 (1.2)

Liu 2016

Liu 2017

128 (21)

81 (11)

37

5.9 (0.4)

Lorenzo 2003

124

75

5.3

7.6

Lyssenko 2005

140

85 (11)

6.3 (IQR 5.8–6.6)

8.3 (1.6)

5.7 (0.4)

Magliano 2008

48

6

8

5.5

Man 2017

145 (20)

80 (12)

13

Hypertension: 74

Marshall 1994

6.1

9.5

McNeely 2003

139
137

80
80

5.5
5.6

9.0
8.8

5–6 years follow‐up

10 years follow‐up

Meigs 2003

Mohan 2008

127 (19)

81 (11)

4.5 (0.6)

Motala 2003

119 (19)

78 (13)

4.6 (1.8)

6.2 (3.8)

Motta 2010

Mykkänen 1993

159

84

1

Antihypertensives: 24

Hypertension: 47

6.2

8.4

Nakagami 2016

134 (18)

82 (12)

35

6.0 (0.6)

6.0 (0.3)

Nakanishi 2004

133 (16)

81 (11)

53

Dyslipidaemia: 40
Proteinuria: 5
Hypertension: 35

6.4 (0.2)

Noda 2010

Men: 5.4
Women: 5.2

Men: 5.0
Women: 5.1

Park 2006

6.0 (0.3)

Peterson 2017

75 (11)

5.5 (0.4)

Qian 2012

126 (21)

81 (12)

5.2 (0.7)

6.1 (1.5)

Rajala 2000

Hypertension: 49

Ramachandran 1986

Rasmussen 2008

140–142

Range for IFG and IGT cohorts

Rathmann 2009

133 (19)

80 (10)

49

Lipid lowering: 11

Hypertension: 49

5.5 (0.5)

6.3 (1.7)

5.6 (0.4)

Rijkelijkhuizen 2007

139–145

84–85

Range for IFG5.6 and IFG6.1 cohorts

Sadeghi 2015

127 (21)

81 (11)

14

5.7 (0.7)

8.4 (1.5)

Sasaki 1982

5.6 (0.9)

9.0 (0.9)

Sato 2009

91

6.0 (0.6)

5.6 (0.6)

Schranz 1989

Women: 7.2
Men: 6.2

Women: 10.8
Men: 9.7

Sharifi 2013

130 (12)

79 (8)

5

Hypertriglyceridaemia: 48
Hypertension: 25

Shin 1997

130

84

6.1

6.7

Söderberg 2004

125

77

27

5.5

6.5

Song 2015

123–127

76–80

2–27

Dyslipidaemia: 64–66
Hypertension: 35–44

5.7–5.8

Ranges for male and female cohorts

Song 2016a

134 (20)

85 (12)

23

6.0 (0.4)

5.9 (1.6)

Soriguer 2008

Stengard 1992

156

88

Hypertension: 53

5.4 (1.1)

9.7 (0.8)

Toshihiro 2008

126 (12)

81 (10)

47

6.1 (0.6)

8.8 (1.3)

Vaccaro 1999

4.2 (0.8)

4.5 (1.7)

Valdes 2008

135–144

84–92

5.8–6.4

6.4–7.3

4.9–5.1

Ranges for IFG5.6 and IFG6.1 cohorts

Vijayakumar 2017

A: 5.4/C: 5.2

A: 6.7/C: 6.5

A: 5.8/C: 5.7

Viswanathan 2007

6.1 (0.7)

8.9 (1.0)

Wang 2007

124 (19)

78 (11)

28

Hypertension: 36

5.8 (0.9)

7.4 (1.7)

Wang 2011

Warren 2017

22

Hypertension: 38

6.0 (0.4)

5.6 (0.4)

Data for cohort 1 (IFG5.6)

Wat 2001

126

78

5.4

8.9

Weiss 2005

5.2

8.9

Wheelock 2016

5.4 (1.2)

Wong 2003

125

74

24

5.7

8.9

Yeboah 2011

132 (21)

74 (11)

50

BP lowering: 56
Lipid lowering (statins): 17

6.0 (0.4)

Zethelius 2004

5.7 (0.7)

7.9 (1.9)

2‐h: 2‐h measurement after an OGTT; BP: blood pressure; CHD: coronary heart disease; FG: fasting glucose; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L);IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IQR: interquartile range; OGTT: oral glucose tolerance test; SD: standard deviation

Appendix 11. Cumulative incidence as the measurement for the development of T2DM

Study ID
(years of follow‐up)

Diabetes cumulative incidence

NGT cohort

IFG5.6 cohort

i‐IFG5.6 cohort

IFG6.1 cohort

i‐IFG6.1 cohort

IGT cohort

i‐IGT cohort

IFG/IGT cohort

HbA1c cohort

Admiraal 2014 (10)

Unclear/354

Total cohort: 51/111 (45.9%)
Asian 13/31 (41.9%)
African 14/40 (35%) "Ethnic Dutch" 3/40 (7.5%)

Aekplakorn 2006 (12)

Unclear/2444

65/223 (29.1%)

Ammari 1998 (2)

10/144 (6.9%)

10/68 (14.7%)

Anjana 2015 (9.1)

209/1077 (19.4%)

32/67 (47.8%)

86/163 (52.8%)

58/69 (84.1%)

Bae 2011 (4)

228/7932 (2.9%)

HbA1c5.7: 373/1791 (20.8%)

HbA1c6.0: 187/412 (45.4%)

Baena‐Diez 2011 (10)

0 (IFG cohort)

33/115 (28.7%)

Bai 1999 (1)

1/444 (0.2%)

14/252 (5.6%)

Bergman 2016 (20)

202/739 (27.3%)

68/114 (59.6%)

Bonora 2011 (15)

29/710 (4.1%)

10 years:
18/55 (32.7%)

10 years:
8/53 (15.1%)

10 years:
9/19 (47.4%)

HbA1c6.0: 20/70 (28.6%)

Cederberg 2010 (9.7)

11/410 (2.7%)

15/40 (37.8%)

6.3%

38/103 (37.1%)

23.4%

HbA1c5.7: 9/24 (37.5%)

Chamnan 2011 (3)

37/5365 (0.7%)

HbA1c6.0: 26/370 (7%)

Charles 1997 (2)

27/3671 (0.7%)

3 years:

15/476 (3.2%)

2 years: 32/418 (7.7%)

Chen 2003 (3)

11/444 (2.5%)

15/156 (9.6%)

Chen 2017 (3)

60/644 (9.3%)

40/329 (12.2%)

45/192 (23.4%)

71/209 (34%)

Coronado‐Malagon 2009a (1, 2)

Year 1: 3/439 (0.7%)

Year 2: 3/439 (0.6%)

Cugati 2007 (10)

108/1512 (7.1%)

69/229 (30%)

De Abreu 2015 (10)

11/342 (3.2%)

21/187 (11.2%)

Den Biggelaar 2016b (7)

17/294 (5.8%)

Derakhshan 2016c (11.7)

162/3611 (4.5%)

Dowse 1991 (6.2)

14/215 (6.5%)

13/51 (25.5%)

Ferrannini 2009 (7)

89/1594 (5.6%)

11/65 (16.9%)

1/17 (5.9%)

31/179 (17.3%)

3 years:

44/188 (23.4%)

Filippatos 2016 (10)

120/1206 (10.0%)

71/279 (25.4%)

Forouhi 2007 (10)

8/407 (2%)

53/633 (8.3%)

34/257 (24.7%)

4.4 years:

17/170 (10%)

Garcia 2016 (9)

132/881 (15.0%)

169/310 (54.5%)

Gautier 2010 (9)

0 (IFG cohort)

142/979 (14.5%)

Gomez‐Arbelaez 2015d (2)

Unclear/586

Guerrero‐Romero 2006 (5)

1/272 (0.4%)

20/67 (29.9%)

Han 2017 (12)

657/5633 (11.7%)

81/199 (40.7%)

624/1512 (41.3%)

138/198 (69.7%)

10 years:

HbA1c5.7: 881/2830 (31.1%)

Hanley 2005 (5.2)

5 years: 47/603 (7.8%)

88/274 (32.1%)

5 years: 101/303 (33.3%)

Heianza 2012 (5)

4.7 years: 34/4149 (0.8%)

262/1680 (15.6%)

155/380 (40.8%)

HbA1c5.7: 184/822 (22.4%)
HbA1c5.7 and IFG5.6: 292/2092 (14%)

HbA1c6.0: 100/203 (49.3%)

HbA1c6.0 and IFG5.6: 271/1748 (15.5%)

Inoue 1996 (2.5)

1/22 (4.5%)

5/37 (13.5%)

Janghorbani 2015 (6.8)

14/627 (2.2%)

23/230 (10%)

26/150 (17.3%)

78/214 (36.4%)

Jaruratanasirikul 2016 (3–6)

12/108 (11.1%)

9/33 (27.3%)

Jeong 2010e (5)

228/792 (28.8%)

Jiamjarasrangsi 2008a (2.6)

15/2050 (0.7%)

33/320 (10.3%)

Kim 2005 (5)

Unclear/2009

15/276 (5.5%)

Kim 2008 (2)

21/5382 (0.4%)

22/1335 (1.6%)

48/494 (9.7%)

Kim 2014 (3.8)

0 (cohort with intermediate hyperglycaemia)

24/158(15.2%)

12/65 (18.5%)

38/119 (31.9%)

i‐HbA1c5.7: 7/64 (10.9%)

Kim 2016a (5.2)

43/10,763 (0.4%)

357/1433 (24.9%)

HbA1c6.0: 322/1103 (29.2%)
IFG5.6 and HbA1c5.7: 435/1951 (22.3%)

Kleber 2010 (1)

0 (IGT cohort)

1/79 (1.3%)

Kleber 2011 (3.9)

0 (IGT cohort)

3/119 (2.5%)

Ko 1999 (1.4)

0 (IGT cohort)

29/123 (23.6%)

Ko 2001 (1.7)

13/264 (4.9%)

14/55 (25.5%)

Larsson 2000 (10)

5/127 (3.9%)

5/42 (11.9%)

8/66 (12.1%)

6/30 (20.0%)

Latifi 2016 (5)

25/394 (6.3%)

21/124 (16.9%)

Lecomte 2007 (5)

0 (IFG cohort)

127/743 (17.1%)

Lee 2016 (3.7)

0 (cohort with intermediate hyperglycaemia)

HbA1c5.7: 390/3497 (11.2%)

Leiva 2014 (6)

0 (IFG cohort)

11/28 (39.3%)

Levitzky 2008 (4)

0 (IFG cohort)

Women: 87/313 (27.8%)

Men: 92/460 (20.0%)

Li 2003 (5)

38/435 (8.7%)

16/42 (38.1%)

2 years:

23/131 (17.6%)

33/118 (28%)

20/49 (40.8%)

Ligthart 2016 (14.7)

Unclear/7462

425/1382 (30.8%)

Lipska 2013 (7)

38/1690 (2.2%)

20/189 (10.6%)

48/100 (48%)

i‐HbA1c5.7: 44/207 (21.3%)
IFG and HbA1c5.7: 81/169 (47.9%)

Liu 2008 (5)

9/470 (1.9%)

18/169 (10.7%)

Liu 2014f (3)

153/1821 (8.4%)

Liu 2016 (10.9)

Unclear/1635

Liu 2017 (7.8)

Unclear/15003

Lorenzo 2003 (7–8)

Unclear/1503

14/29 (48.3%)

88/202 (43.6%)

Lyssenko 2005g (6)

41/1429 (2.9%)

Magliano 2008 (5)

58/4715 (1.2%)

44/370 (11.9%)

122/757 (16.1%)

Man 2017 (6)

15/462 (3.2%)

HbA1c5.7: 112/675 (16.6%)

Marshall 1994 (1.9)

0 (IGT cohort)

20/123 (16.3%)

McNeely 2003 (10)

5–6 years:

5/277 (1.8%)

10 years:

13/277 (4.5%)

5–6 years:

27/125 (21.6%)

10 years:

39/103 (37.9%)

5–6 years:

7/30 (23.3%)

10 years:

18/28 (64.3%)

5–6 years:
45/178 (25.3%)
10 years:
59/157 (37.6%)

Meigs 2003 (5, 10)

6 (SD 5) years:

55/488 (11.3%)

6 (SD 5) years:

6/20 (30.0%)

6 (SD 5) years:

81/218 (37.1%)

6 (SD 5) years:
15/27 (55.6%)

Mohan 2008 (8)

64/476 (13.4%)

15/37 (40.5%)

Motala 2003 (10)

36/482 (7.5%)

13/35 (37.1%)

4 years:

16/72 (22.2%)

Motta 2010 (3)

52/2018 (2.6%)

50/295 (16.9%)

Mykkänen 1993 (3.5)

21/689 (3.0%)

48/203 (23.6%)

Nakagami 2016 (5)

1528

77/467 (16.5%)

50/134 (37.3)

HbA1c6.0: 58/156 (37.2%)

HbA1c5.7: 87/583 (14.9%)

Nakanishi 2004 (7)

51/5500 (0.9%)

5/246 (2.0%)

Noda 2010 (5)

Total: 30/1649 (1.8%)

Men: 13/540 (2.4%)

Women: 17/1109 (6.4%)

Total: 37/405 (9.1%)
Men: 18/202 (8.9%)
Women: 19/203 (9.4%)

Total: 58/153 (37.9%)
Men: 25/79 (31.6%)
Women: 33/74 (44.6%)

Park 2006 (4.1)

116/4975 (2.3%)

40/321 (12.5%)

Peterson 2017 (10)

2/39 (5.1%)

6/29 (20.7%)

Qian 2012 (5)

59/843 (7.0%)

17/46 (37%)

49/120 (41%)

17/33 (51%)

Rajala 2000 (4.6)

0 (IGT cohort)

32/171 (18.7%)

2.1 years:

14/183 (7.7%)

Ramachandran 1986 (5.1)

0 IGT cohort)

39/107 (36.4%)

Rasmussen 2008 (3.5) (i‐IFG5.6 : 2.5, IGT: 2.1 )

0 (IFG, IGT cohort)

141/442 (32%)

181/442 (41%)

1 year:
35/296 (11.8%)

1 year:
60/207 (29%)

Rathmann 2009 (7)

25/649 (3.9%)

12/71 (16.9%)

34/120 (28.3%)

22/47 (46.8%)

Rijkelijkhuizen 2007 (6.4)

51/1125 (4.5%)

101/488 (20.7%)

62/149 (41.6%)

35/106 (33%)

36/111 (32.4%)

2 years:

45/158 (28.5%)

27/80 (33.8%)

20/31 (64.5%)

Sadeghi 2015 (7)

141/2607 (5.4%)

134/373 (35.9%)

49/373 (13.1%)

65/373 (17.4%)

Sasaki 1982 (7)

7/161/4.3%)

5/13 (38.5%)

Sato 2009 (4)

118/4147 (2.9%)

334/794 (42.1%)

HbA1c6.0: 90/215 (41.9%)

Schranz 1989 (6)

54/1251 (4.3%)

23/75 (30.7%)

Sharifi 2013 (7)

0 (IFG cohort)

24/123(19.5%)

Shin 1997 (2)

47/1040 (4.5%)

20/153 (13.1%)

Söderberg 2004 (11)

Unclear/2522

5 years:

32/148 (21.6%)

153/402 (38%)

575/1253 (45.9%)

5 years:

103/489 (21.1%)

5 years:

45/118 (38.1%)

Song 2015 (4)

74/1758 (4.2%)

68/321 (21.2%)
Men: 30/154 (19.5%)
Women: 38/167 (22.8%)

Song 2016a (10.8)

0 (cohort with intermediate hyperglycaemia)

Soriguer 2008 (6)

13/1806 (0.7%)

23/56 (41.1%)

14/54 (25.9%)

14/28 (50%)

Stengard 1992 (5)

6/216 (2.8%)

17/234 (7.3%)

Toshihiro 2008 (3.2)h

0 (cohort with IFG and/or IGT)

Vaccaro 1999 (11.5)

36/500 (7.2%)

1/11 (9.1%)

13/40 (32.5%)

4/9 (44.4%)

Valdes 2008 (6.3)

16/510 (3.1%)

14/114 (12.3%)

7/32 (21.9%)

19/52 (36.5%)

21/88 (23.9%)

9/68 (13.2%)

12/20 (60%)

Vijayakumar 2017 (adults: 4.6,children: 5.2)

Adults: 58/1466 (3.9)

Children: 26/1795 (1.4%)

[estimated from figure 2]

Adults: 222/424 (52.4%)
Children: 52/193 (26.9%)

Adults: 196/347 (56.5%)
Children: 55/169 (32.5%)

IFG5.6/IGT:

Adults:

116/169 (68.7%)
Children: 26/53 (49.1%)

HbA1c5.7: adults: 75/168 (44.6%)
HbA1c5.7: children: 18/62 (29%)

Viswanathan 2007 (5)

Total: 154/465 33.1%)

M: 99/265 (37.4%)

W: 55/200 (27.5%)

Total: 416/619 (67.2%)

M: 251/391 (64.2%)

W: 165/228 (72.4%)

Wang 2007 (5)

51/358 (14.2%)

53/261 (20%)

28/112 (25%)

126/141 (89.4%)

31/95 (32.6%)

IFG5.6/IGT: 54/109 (49.5%)

IFG6.1/IGT: 36/52 (69.2%)

Wang 2011 (7.8)

84/595 (14.1%)

Total:
345/947 (36.4%)

Men: 137/418 (32.8%)

Women: 208/529 (39.3%)

Total:

233/491 (47.5%)

Men: 75/154 (48.7%):

Women: 158/337 (46.9%)

4 years:

Total 198/532 (37.2%)

Total:

185/356 (52%%)

Men: 66/125 (52.8%)

Women: 119/231 (51.5%)

HbA1c6.0: 19/121 (15.7%)

Warren 2017 (cohort 1: 22, cohort 2: 16)

22 years: 8322

16 years: 4772

Wat 2001 (2)

4/333 (0.1%)

31/322 (9.6%)

Weiss 2005 (1.7)

8/84 (9.5%)

8/33 (24.2%)

Wheelock 2016 (4.3)

Unclear/5363

5 years:
31%

Non‐overweight:
5 years: 9/37 (24%)
10 years: 11/37 (29.7%)
Overweight:
5 years: 49/132 (37%)
10 years: 84/132 (63.6%)

5 years:
41.2%

Wong 2003 (8)

12/278 (4.3%)

102/291 (35.1%)

Yeboah 2011 (7.5)

Unclear/4973

273/940 (29.0%)

Zethelius 2004 (7)

Unclear/466

Not reported/201

aDevelopment of T2DM from 'prediabetes' (not defined) at year 1: 11/217 (5.1%), at year 2: 16/217 (7.6%).

bDevelopment of T2DM from 'prediabetes' (IFG6.1 and/or IGT): 46/122 (37.7%).
cDevelopment of T2DM from IFG5.6and/or IGT: 11.7 years150/523 (28.7%); 2.3 years: 121/911 (13.3%).
dDevelopment of T2DM from IFG5.6or IGT or HbA1c5.7: 20/186 (10.8%).

eDevelopment of T2DM from IFG or IGT: not reported.

fDevelopment of T2DM from IFG or IGT: 78/450 (17.3%).

gDevelopment of T2DM from IFG or IGT:86/686 (12.5%).

hDevelopment of T2DM from IFG and/or IGT: 36/128 (28.1%).

FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; NGT: normal glucose tolerance; PG: postload glucose; SD: standard deviation; T2DM: type 2 diabetes mellitus

Appendix 12. Diabetes incidence (cases per 1000 person‐years)

Study ID

Rate (diabetes cases/1000 person‐years (95% CI))

Follow‐up (years)

NGT cohort

'Prediabetes' cohort

IFG6.1 cohort

IFG5.6 cohort

IGT cohort

IFG/IGT cohort

Elevated HbA1c cohort

Elevated HbA1c/IFG cohort

Anjana 2015

9.1

22.2 (19.4–25.4)

78.9 (68.0–90.9)

61.0 (42.1–85.0)

67.8 (54.6–83.0)

133.6 (103.1– 169.3)

Bae 2011

4

Per 100 person‐years:

HbA1c5.7: 5.6

HbA1c6.0: 14.0

Bonora 2011

15

10 years: 4.3 (2.7–5.9)

10 years: 37.0 (20.2–53.8)

10 years: 17.0 (5.3–28.7)

10 years: 49.2 (17.9–80.5)

HbA1c6.0: 25.8

De Abreu 2015

10

18.1 (10.7–28.2)

Derakhshan 2016

11.7

30.3

6.5 years:
69.4 (56.0–86.1)

6.5 years:
39.5 (34.4–45.4)

6.5 years:
41.6 (36.1–47.9)

Dowse 1991

6.2

10.5

40.4

Forouhi 2007

10

2.4 (1.2–4.8)

4 years: 2.64 (1.23–4.05)

17.5 (12.5–24.5)

10.6 (8.1–13.9)

(IFG5.6: FPG 5.6–6.9)

4 years: 22.5 (20.4–24.6)

Han 2017

12

12.3

IFG or IGT: 58.0

i‐IFG5.6: 51.3

i‐IGT: 53.1

114.4

10 years:

HbA1c5.7: 43.2

Heianza 2012

5

2.3

104

34.6

HbA1c5.7: 51.0

HbA1c6.0: 129.2

HbA1c5.7 and IFG5.6: 30.6

HbA1c6.0 and IFG5.6: 34.4

Janghorbani 2015

6.8

3.1 (1.5–4.7)
2.3 years: 4.6 (1.28–11.7)

16.3 (10.3–24.4)
2.3 years: i‐IFG5.6: 50.7 (20.7–102.0)

25.9 (17.0–37.7)

2.3 years: i‐IGT: 99.7 (77.1–126.0)

57.9 (46.1–71.7)

Jiamjarasrangsi 2008a

2.6

31.5 (11.4–86.8)

Latifi 2016

5

21.9

34.5

Li 2003

5

18.8

93.7

60.7

117

Ligthart 2016

14.7

43.0 (39.2–47.2)

Liu 2008

5

9

22.5

Magliano 2008

5

0.2 (0.2–0.3)
(incidence percent per years)

i‐IFG6.1: 2.6 (1.8–3.4)

(incidence percent per years)

i‐IGT: 3.5 (2.9–4.2)

(incidence percent per years)

Meigs 2003

5, 10

Per 100 person‐years (annualised rate): FPG ≥ 7.0:
0.64 (0.32–1.13)
2‐h PG ≥ 11.1:

2.77 (2.01–3.71)

Per 100 person‐years (annualised rate):

IFG or IGT

FPG ≥ 7.0:
0.98 (0.65–1.41)
2‐h PG ≥ 11.1:

4.61 (3.77–5.56)

Mohan 2008

8

17.5

64.8

Nakagami 2016

5

1

Nakanishi 2004

7

1.5

3.3

Park 2006

4.1

5.7

31.3

Rajala 2000

4.6

41 (28–57)

Rasmussen 2008

3.5
(i‐IFG5.6: 2.5 , IGT: 2.1 )

i‐IFG5.6:
11.8 (9.9–13.8)
per 100 person‐years

17.0 (14.9–19.1)
per 100 person‐years

(i‐IGT: 11.8 (9.7–13.9)

27 (22.5–31.7)
per 100 person‐years

Rathmann 2009

7

i‐IFG6.1:
24.2 (12.5–42.3)

i‐IGT:
42.0 (29.0–58.7)

77.9 (48.8–117.9)

Rijkelijkhuizen 2007

6.4

7

66.5 (49.9–83.0)

32.7 (26.3–39.1)

i‐IGT: 57.9

112.2

Sadeghi 2015

7

Total: 14.1 (12.5–15.9)

Men: 12.8 (10.7–15.3)
Women: 15.5 (13.1–18.3)

Total: 48.4 (35.0–66.7)
Men: 46.4 (28.9–74.7)
Women: 50.1 (32.3–77.7)

Total: 40.3 (30.2–53.8)
Men: 41.4 (25.7–66.6)
Women: 39.6 (27.5–57.0)

Total: 137.6 (103.7–182.5)
Men: 129.9 (83.0–203.7)
Women: 143.1 (99.4–205.9)

Söderberg 2004

11

87–92:
Men: 54.1 (48.0–60.1)
Women: 35.1 (30.3–40.0)

92–98:
Men: 60.5 (54.1–67.0)
Women: 74–7 (67.8–81.8)

87–92:
Men: 60.7 (54.3–67.1)
Women: 47.9 (42.2–53.6)

92–98:
Men: 119.6 (110.6–128.6)
Women: 81.0 (73.6–88.4)

Soriguer 2008

6

7.2 (4.2–12.4)

38.1 (25.3–57.3)

31.1 (18.4–52.5)

66.0 (39.1–111.5)

Valdes 2008

6.3

3.8 (2.1–6.8)

for i‐IGT and IFG/IGT:

5.0 (2.8–8)

58.0 (37–90.9)

19.5 (11.5–32.9)

37.9 (24.7–58.1)

i‐IGT: 21 (10.9–40.4)

95.2 (54.1–167.7)

Vijayakumar 2017

Adults: 4.6
Children: 5.2

Boys: 22
Men: 70
Girls: 55
Women: 101

Boys: 38
Men: 94
Girls: 60
Women: 118

Boys: 52
Men: 100
Girls: 100
Women: 118

Wang 2011

7.8

21.1

Total: 66.2

Men: 57.7

Women: 73.4

Total: 95.8

Men: 98.1

Women: 94.8

Total: 109

Men: 109

Women: 109

CI: confidence interval; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT;NGT: normal glucose tolerance; T2DM: type 2 diabetes mellitus

Appendix 13. T2DM cases and person‐time (for calculation incidence rate ratios)

Study ID

Persons (cases) with diabetes with/without IH at baseline

Follow‐up (years)

Cases in IH group

Person‐years for IH group

Cases in normoglycaemic group

Person‐years for normoglycaemic group

Anjana 2015

9.1

i‐IFG5.6: 32
i‐IGT: 86
IFG/IGT: 58

i‐IFG5.6: 525
i‐IGT: 1269
IFG5.6/IGT: 434

209

9398

De Abreu 2015

10

IFG5.6: 21

IFG5.6: 1768

11

Bae 2011

4

HbA1c5.7: 373

HbA1c6.0: 187

HbA1c5.7: 6594

HbA1c6.0: 1338

Bonora 2011

10

IFG6.1: 18

IGT: 8

IFG/IGT: 9

IFG6.1: 486

IGT: 471

IFG/IGT: 183

29

6704

Derakhshan 2016

11.7

IFG5.6: 150

IFG5.6: 4950

162

39,901

Dowse 1991

6.2

IGT: 13

IGT: 322

14

1339

Forouhi 2007

10

IFG6.1: 34
IFG5.6: 53

4.44 years:

IGT: 17

IFG6.1: 1943
IFG5.6: 5000

4.44 years:

IGT: 756

8

4.44 years:

9

3333

4.44 years:

3409

Guerrero‐Romero 2006

5

IGT: 20

IGT: 343

1

1388

Han 2017

12

i‐IFG5.6: 81

i‐IGT: 624

IFG/IGT: 138

i‐IFG5.6: 1579

i‐IGT: 11,744

IFG/IGT: 1206

657

53,461

Heianza 2012

5

IFG5.6: 108
HbA1c5.7: 30
HbA1c5.7/IFG5.6: 154

IFG5.6: 5920
HbA1c5.7: 1965
HbA1c5.7/IFG5.6: 1641

46

19,961

Janghorbani 2015

6.8

i‐IFG5.6: 23
i‐IGT: 26
IFG/IGT: 214

i‐IFG5.6: 1409
i‐IGT: 1005
IFG/IGT: 1347

14

4578

Li 2003

5

i‐IFG6.1: 16
i‐IGT: 33
IFG/IGT: 20

i‐IFG6.1: 171
i‐IGT: 544
IFG/IGT: 179

38

2026

Ligthart 2016

14.7

IFG6.1: 425

iFG6.1: 9884

Meigs 2003

5, 10

IFG or IGT

T2DM measured by:

FPG ≥ 7.0: 26
2‐h PG ≥ 11.1: 101

IFG or IGT

T2DM measured by:

FPG ≥ 7.0: 2647
2‐h PG ≥ 11.1: 2192

28

1539

Mohan 2008

8

IGT: 15

IGT: 247

64

3665

Nakanishi 2004

7

IFG6.1: 5

IFG6.1: 1506

51

34,308

Park 2006

4.1

IFG5.6: 40

IFG5.6: 1278

116

20,298

Rijkelijkhuizen 2007

6.4

i‐IFG6.1: 35

i‐IGT: 27

IFG/IGT: 20

i‐IFG6.1: 681

i‐IGT: 466

IFG/IGT: 178

51

7286

Soriguer 2008

6

IFG5.6: 23
IGT: 14
IFG/IGT: 14

IFG5.6: 604
IGT: 450
IFG/IGT: 212

13

1806

Valdes 2008

6.3

IFG5.6: 14
IFG6.1: 19

i‐IGT: 9

IFG/IGT: 12

IFG5.6: 718
IFG6.1:328

i‐IGT: 429

IFG/IGT: 126

11

(16 for i‐IGT and IFG/IGT)

2923

(3200 for i‐IGT and IFG/IGT)

Wang 2011

7.8

IFG5.6: 137

IGT: 75

IFG/IGT: 66

IFG5.6: 2374

IGT: 765

IFG/IGT: 605

34

1613

FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IH: intermediate hyperglycaemia;T2DM: type 2 diabetes mellitus

Appendix 14. Odds ratios and hazard ratios as the effect measures for the development of T2DM

Study ID

Adjusted [unadjusted] ratios (95% CI) for the development of diabetes comparing IH with normoglycaemia at baseline

Follow‐up (years)

IFG6.1

IFG5.6

IGT

'Prediabetes'

IFG/IGT

HbA1c

HbA1c/IFG

Ratio

Admiraal 2014

10

Total cohort:
6.1 (3.1–12.1)
[5.7 (3.1–10.5)]

South‐Asian Surinamese:
11.1 (3.0–40.8)
[9.9 (2.9–34.3)]
African Surinamese:
5.1 (2.0–13.3)
[6.2 (2.6–14.9)]
"Ethnic Dutch":
2.2 (0.5–10.2)
[2.1 (0.5–9.3)]

Odds ratio

Aekplakorn 2006

12

[2.41 (1.78–3.28)]

[4.36 (3.41–5.57)]

Odds ratio

Bae 2011

4

HbA1c5.7: 6.5 (3.7–10.2)

HbA1c6.0:41.3 (24.7–69.2)

[compared with HbA1c < 5.0]

Hazard ratio

Bergman 2016

24

20 years: i‐IFG6.1: 3.43 (1.88–6.28)

20 years: i‐IFG5.6: 1.11 (0.76–1.61)

5.64 (2.74–12.33)
20 years: 3.03 (1.80–5.09)

IFG5.6 + IGT: 2.79 (1.56–5.00)

IFG6.1 + IGT: 3.85 (1.73–8.54)

Odds ratio

Bonora 2011

15

5.83 (3.23–10.54)

10 years:

5.7 (2.8–11.4)
[3.9 (1.56–9.3)]

10 years:

[3.9 (1.6–9.3)]

10 years:

[20.5 (7.6–55.3)]

HbA1c6.0: 9.74 (4.21–22.56)

Hazard ratio, odds ratio (10 years)

Cederberg 2010

9.7

2.37 (1.49–3.78)
[2.56 (1.57–4.16)]

2.90 (1.90–4.43)
[2.98 (1.94–4.569]

HbA1c5.7: 2.42 (1.50–3.91)
[2.78 (1.80–4.31)]

Risk ratio

Chamnan 2011

3

HbA1c6.0: 15.6 (6.9–35.7)
[15.5 (7.2–33.3)]

Odds ratio

Chen 2003

3

4.4 (1.9–10.6)

Odds ratio

Coronado‐Malagon 2009

1, 2

[At 1 year:
7.7 (2.1–27.9)]

Relative risk

Cugati 2007

10

[19.13 (11.59–31.66)]

Odds ratio

De Abreu 2015

10

5.75 (1.86–17.78)

Odds ratio

Derakhshan 2016

11.7

6.5 years:
4.1 (2.9–5.6)

6.5 years:
3.0 (2.3–3.9)

IFG5.6 and/or IGT:
4.98 (4.08–6.07)

Hazard ratio, relative risk (6.5 years)

Dowse 1991

6.2

[3.6 (1.4–9.1)]

Odds ratio

Ferrannini 2009

7

[3.73 (2.18–6.39)]

[4.28 (3.21–5.71)]

[4.01 (3.12–5.14)]

Relative risk

Filippatos 2016

10

3.43 (2.17–5.44)

Odds ratio

Forouhi 2007

10

4.4 (1.9–10.0)

2.9 (1.3–6.3)

Hazard ratio

Han 2017

12

i‐IFG5.6: 3.61 (2.85–4.57)

i‐IGT: 4.06 (3.62–4.55)

8.21 (6.79–9.94)

6 years:

HbA1c6.0:

Men: 4.28 (2.41–7.58)

Women: 4.05 (1.36–12.07)

Hazard ratio

Hanley 2005

5.2

5.42 (3.60–8.17)

Odds ratio

Heianza 2012

5

11.4 (8.09–16.1)

6.18 (4.34–8.80)

HbA1c5.7:
6.53 (3.79–9.64)
HbA1c6.0:
7.42 (3.67–15.0)

HbA1c5.7 + IFG5.6:

32.5 (23.0–45.8)

HbA1c5.7 + IFG6.1:

37.9 (28.1–51.1)

HbA1c6.0 + IFG5.6:

53.7 (38.4–75.1)

HbA1c6.0 + IFG6.1:

52.3 (37.8–72.3)

Hazard ratio

Janghorbani 2015

6.8

7.4 (3.7–14.8)
[8.2 (4.2–16.0)]

9.4 (4.8–18.6)
[10.0 (5.2–19.1)]

22.5 (12.4–41.0)
[26.7 (15.1–47.2)]

Hazard ratio

Jeong 2010

5

5.66 (3.44–9.31)

6.01 (3.23–11.2)

Odds ratio

Kim 2005

5

Total: 34.57 (12.18–98.10)
Men: 76.02 (10.42–544.51)
Women: 15.46 (4.08–58.61)

Total: 4.77 (1.60–14.15)

Men: 9.5 (1.25–72.24)

Women: 1.91 (0.45–8.21)

Hazard ratio

Kim 2016a

5.2

21.1 (16.8–26.3)

HbA1c6.0: 23.2 (18.7–28.7)

HbA1c5.7 + IFG5.6:

46.7 (33.5–64.9)

Odds ratio

Latifi 2016

5

1.04 (1.00–1.07)

Odds ratio

Leiva 2014

6

2.06 (1.76‐5.14)

Odds ratio

Levitzky 2008

4

Women: 26.3 (17.4–39.8)
Men: 12.9 (9.3–18.1)

Women: 22.3 (13.0–38.1)
Men: 12.7 (8.1–20.0)

Odds ratio

Li 2003

5

5.78 (3.20–10.43)

i‐IGT: 2.94 (1.81–4.76)

6.17 (3.41–11.15)

Hazard ratio

Lipska 2013

7

11.4 (7.1–18.4)

IFG5.6:
Total: 3.5 (1.9–6.3)

Men: 8.6 (3.4–21.9)
Women: 1.5 (0.5–4.6)

White:
3.2 (1.5–6.6)
Black:
4.6 (1.6–13.3)

i‐HbA1c5.7:
Total: 8.0 (4.8–13.2)

Men: 24.2 (9.5–61.8)
Women: 4.6 (2.4–8.7)

White:
10.2 (5.0–20.8)

Black:

5.8 (2.9–11.7)

HbA1c5.7 + IFG5.6:

Total:

26.2 (16.3–42.1)

Men:

51.1 (21.2–123.2) Women: 20.4 (10.9–38.0)

White:

34.9 (19.1–63.8)

Black:

14.9 (6.8–32.6)

Odds ratio

Liu 2008

5

4.5 (2.0–10.1)

Risk ratio

Liu 2016

10.9

1.99 (1.37–2.90)
[2.12 (1.46–3.08)]

Hazard ratio

Liu 2017

7.8

3.67 (3.20–4.21)

[4.36 (3.83–4.97)]

Odds ratio

Lorenzo 2003

7–8

6.37 (4.37–9.28)

Odds ratio

Lyssenko 2005

6

[i‐IFG6.1:
2.3 (1.4–3.7)]

[i‐IGT: 3.5 (2.1–5.8)]

[3.8 (2.3–6.2)]

Hazard ratio

Man 2017

6

4.54 (2.65–7.78)

Risk ratio

Mykkänen 1993

3.5

[9.85 (6.14–15.8)]

Odds ratio

Nakagami 2016

5

34.89 (19.65–61.95)
[37.85 (22.73–63.05)]

HbA1c6.0:

[63.16 (33.94–117.52)]

HbA1c5.7:

8.77(4.47–17.21)

[9.72(4.96–19.05)]

Hazard ratio

Nakanishi 2004

7

1.31 (0.51–3.34)

Risk ratio

Rathmann 2009

7

[4.7 (2.2–10.0)]

[8.8 (5.0–15.6)]

[21.2 (10.4–43.3)]

Odds ratio

Rijkelijkhuizen 2007

6.4

i‐IFG6.1: 10.0 (6.1–16.5)

i‐IGT: 10.9 (6.0–19.9)

39.5 (17.0–92.1)

Odds ratio

Sadeghi 2015

7

i‐IFG5.6: 3.30 (2.16–5.06)

i‐IGT: 2.52 (1.73–3.69)

12.6 (7.39–21.4)

Odds ratio

Sato 2009

4

22.52 (17.73–28.60)

Odds ratio

Song 2015

4

Men: 7.50 (2.76–20.33)
Women: 4.27 (1.52–12.00)

Relative risk

Soriguer 2008

6

[5.3 (2.7–10.4)]

4.3 (2.0–9.2)

9.2 (4.3–19.5)

Relative risk

Stengard 1992

5

3.1 (1.2–8.2)

Odds ratio

Vaccaro 1999

11.5

[i‐IFG6.1: 1.2 (0.3–10.2)]

[i‐IGT: 6.2 (2.7–13.8)]

[10.3 (2.2–46.8)]

Odds ratio

Valdes 2008

6.3

12.1 (4.6–31.7)

[11.5 (5.6–23.6]

3.9 (1.6–9.8)

[6.7 (3.4–13.3)]

[i‐IGT: 4.7 (1.9–11.7)]

[45.6 (15.8–131.4)]

Odds ratio

Viswanathan 2007

5

1.57

Odds ratio

Wang 2007

5

2.71 (1.43–5.16)

Men: 2.29 (0.95–5.49)

Women: 1.95 (0.83–4.61)

1.80 (0.96–3.40)

Men: 1.79 (0.70–4.57)

Women: 2.08 (0.93–4.67)

3.15 (1.60–6.19)

i‐IGT(IFG6.1):
Men: 7.33 (2.62–20.51)

Women: 1.65 (0.76–3.60) i‐IGT(IFG5.):
Men: 7.50 (1.62–34.63)

Women: 2.21 (0.77–6.36)

IGT/IFG6.1: Men: 10.23 (3.84–27.30)

Women: 7.11 (2.56–19.72)

IGT/IFG5.6:

Men: 9.81 (3.5–27.21)

Women: 4.67 (1.87–11.62)

Risk ratio, odds ratio

Wang 2011

7, 8

Total: 2.38 (1.85–3.05)

[2.68 (2.25–3.63]

Men: 2.10 (1.40–3.15)

[2.78 (1.91–4.04)]

Women: 2.46 (1.78–3.39)

[ 2.92 (2.15–3.98]

4 years: [3.12 (2.31–4.22)]

Total: 3.47 (2.64–4.55)

[4.11 (3.20–5.27)]

Men: 3.82 (2.41–6.04)

[4.72 (3.15–7.09)]

Women: 3.16 (2.26–4.43)

[3.74 (2.72–5.14)]

Total: 4.06 (3.05–5.40)

[4.68 (3.62–6.07) ]

Men: 4.44 (2.75–7.15)

[5.28 (3.49–7.99)]

Women: 3.80 (2.66–5.42)

[4.30 (3.09–5.99)]

4 years:

HbA1c6.0: 5.89 (4.23–8.19)

Hazard ratio,

odds ratio (4 years)

Warren 2017

Cohort 1: 22

Cohort 2: 16

Cohort 1:
2.85 (2.60–3.12)

Black: 2.66 (2.26–3.13)
White: 2.86 (2.57–3.19)

Cohort 2:
3.41 (3.01–3.85)

Black: 3.16 (2.47–4.06)
White: 3.67 (3.18–4.23)

Cohort 1:
2.26 (2.08–2.45)
Black: 2.05 (1.75–2.40)
White: 2.30 (2.10–2.53)

Cohort 2:
2.70 (2.43–3.00)

Black: 2.65 (2.11–3.32)
White: 2.87 (2.54–3.23)

Cohort 2:
2.06 (1.84‐2.31)

Black: 2.55 (2.01–3.22)
White: 1.95 (1.71–2.21)

Cohort 1:
HbA1c5.7:
2.71 (2.48–2.95)

Black: 2.24 (1.92–2.61)
White: 2.91 (2.63–3.22)

HbA1c6.0:
3.12 (2.81–3.46)

Black: 2.60 (2.21–3.05)
White: 3.64 (3.20–4.14)

6 years:
HbA1c6.0: 9.24 (7.20–11.86)

Hazard ratio

Yeboah 2011

7.5

10.5 (8.4–13.1)
[13.2 (10.7–16.2)]

Hazard ratio

Zethelius 2004

7

[2.18 (1.43–3.34)]

Odds ratio

aUnreliable adjusted HbA1c6.0 interval in publication: 105.47 (29.30–101.86)

CI: confidence interval; FPG: fasting plasma glucose; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG; i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IH: intermediate hyperglycaemia; T2DM: type 2 diabetes mellitus

Appendix 15. Regression from intermediate hyperglycaemia to normoglycaemia

Study ID

Follow‐up (years)

Regression to normoglycaemia from IH at baseline

Ammari 1998

2

IGT: 27/68 (39.7%)

Anjana 2015

9.1

i‐IFG5.6 or i‐IGT: 52/299 (17.4%)

Baena‐Diez 2011

10

IFG6.1: 57/115 (49.6%)

Bai 1999

1

IGT: 162/252 (64.3%)

Charles 1997

2

IGT: 273/418 (65.3%)

Chen 2003

3

IFG6.1: 129/156 (82.6%)

Coronado‐Malagon 2009

1, 2

'Prediabetes': 76/217 (35%)

Cugati 2007

10

IFG5.6: 5 years: 94/229 (27.9%); 10 years: 15/229 (6.6%)

IFG6.1: 5 years: 34/50 (68%); 10 years: 2/50 (4%)

De Abreu 2015

10

IFG5.6: 104/187 (55.6%)

Dowse 1991

6.2

IGT: 20/51 (39%)

Ferrannini 2009

7

IGT: 73/170 (42.9%)

Forouhi 2007

10

IFG6.1: 143/257 (55.6%)

Guerrero‐Romero 2006

5

IGT: 3/75 (4%)

Heianza 2012

5

IFG5.6: 383/1680 (22.8%)
IFG6.1: 101/380 (26.5%)
HbA1c5.7: 263/822 (32%)
HbA1c6.0: 63/203 (31.0%)
HbA1c5.7/IFG5.6: 428/2092 (20.5%)
HbA1c6.0/IFG5.6: 392/1748 (22.4%)

Inoue 1996

2.5

IGT: 11/37 (29.7%)

Jiamjarasrangsi 2008a

2.6

IFG5.6: 197/320 (61.6%)

Kim 2008

2

IFG total: 908/1829 (49.6%)
IFG5.6: 747/1335 (56%)
IFG6.1: 161/494 (32.6%)

Kleber 2010

1

IGT: 52/79 (65.8%)

Kleber 2011

3.9

IGT: 96/119 (80.1%)

Ko 1999

1.4

IGT: 60/123 (48.8%)

Ko 2001

1.7

IFG6.1: 17/55 (30.9%)

Larsson 2000

10

i‐IFG6.1: 27/42 (64.3%)
i‐IGT: 36/66 (54.6%)
IFG/IGT: 17/30 (56.7%)

Latifi 2016

5

IFG5.6: 62/124 (50%)

Lecomte 2007

5

IFG6.1: 297/743 (44%)

Leiva 2014

6

IFG6.1: 0/28 (0%)

Li 2003

2

IGT: 22/131 (16.8%)

Liu 2014

3

IFG or IGT: 130/450 (28.9%)

Lyssenko 2005

6

IFG or IGT: 379/686 (55.2%)

Marshall 1994

1.9

IGT: 60/123 (48.8%)

Mohan 2008

8

IGT: 6/37 (16.2%)

Motala 2003

10

IGT: 16/35 (45.7%)

4 years: IGT: 28/72 (38.9%)

Mykkänen 1993

3.5

IGT: 72/203 (35.5%)

Peterson 2017

10

IGT: 8/29 (27.6%)

Qian 2012

5

i‐IFG6.1: 14/46 (30.4%)
i‐IGT: 45/120 (37.5%)
IFG/IGT: 8/33 (24.2%)

Rajala 2000

4.6

IGT: 96/171 (56.1%)

(2.1 years) IGT: 115/183 (62.8%)

Ramachandran 1986

3.3

IGT: 34/107 (31.8%)

Rijkelijkhuizen 2007

6.4

IFG6.1: 28/149 (18.8%)
IFG5.6: 33/488 (6.8%)

(3 years) IGT: 35/158 (22.2%)

Sadeghi 2015

7

IFG5.6and/or IGT: 148/373 (39.7%)

Sasaki 1982

7

IGT: 5/13 (38.5%)

Schranz 1989

6

IGT: 25/75 (33.3%)

Sharifi 2013

7

IFG5.6: 53/123 (43.1%)

Söderberg 2004

11

i‐IFG6.1: 153/402 (38%)
IGT: 296/1253 (23.6%)

Song 2016a

10.8

Total: 75/334 (22.5%)
Men: 28/125 (22.4%)
Women: 47/209 (22.5%)

Stengard 1992

5

IGT: 79/234 (33.8%)

Toshihiro 2008

3.2

IFG and/or IGT: 39/128 (30.5%)

Wang 2011

4

IGT: 147/532 (27.6%)

Wat 2001

2

IGT: 174/322 (54%)

Weiss 2005

1.7

i‐IGT: 15/33 (45.5%)

Wong 2003

8

IGT: 122/291 (41.9%)

HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 : HbA1c threshold 5.7% or 6.0% (usually reflecting 5.7% to 6.4% and 6.0% to 6.4%, respectively); HbA1c/IFG: both HbA1c and IFG;i‐: isolated; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG/IGT: both IFG and IGT; IH: intermediate hyperglycaemia; IQR: interquartile range; SD: standard deviation

Appendix 16. Confounder adjustment (I)

Study ID

Age

Sex

Body mass index, waist circumference,
waist‐to‐hip ratio

'Ethnicity'

Site

Smoking status

Drinking status

Physical activity

Medications

Admiraal 2014

Yes

Yes

Yes

No

No

No

No

No

No

Aekplakorn 2006

No

No

No

No

No

No

No

No

No

Bae 2011

Yes

Yes

No

No

No

No

No

No

No

Bergman 2016

Yes

Yes

Yes

No

No

Yes

No

No

No

Bonora 2011

Yes

Yes

Yes

No

No

Yes

Yes

Yes

No

Cederberg 2010

No

Yes

Yes

No

No

Yes

Yes

Yes

No

Chamnan 2011

Yes

Yes

Yes

No

No

Yes

No

No

Yes

Chen 2003

Yes

Yes

Yes

No

No

No

No

No

No

Coronado‐Malagon 2009

No

No

No

No

No

No

No

No

No

Cugati 2007

Yes

Yes

No

No

No

No

No

No

No

De Abreu 2015

Yes

No

Yes

No

No

Yes

Yes

Yes

No

Derakhshan 2016

Yes

Yes

Yes

No

No

Yes

No

Yes

No

Dowse 1991

No

No

No

No

No

No

No

No

No

Ferrannini 2009

No

No

No

No

No

No

No

No

No

Filippatos 2016

Yes

Yes

No

No

No

Yes

No

Yes

No

Forouhi 2007

Yes

Yes

Yes

No

No

Yes

No

Yes

No

Han 2017

Yes

Yes

Yes

No

Yes

Yes

Yes

Yes

No

Hanley 2005

Yes

Yes

No

Yes

Yes

No

No

No

No

Heianza 2012

Yes

Yes

Yes

No

No

Yes

No

No

No

Janghorbani 2015

Yes

Yes

Yes

No

No

No

No

No

No

Jeong 2010

No

No

Yes

No

No

No

No

No

No

Kim 2005

Yes

Yes

Yes

No

No

No

No

No

No

Kim 2016a

Yes

Yes

Yes

No

No

Yes

Yes

Yes

No

Latifi 2016

Yes

No

Yes

Yes

No

No

No

No

No

Leiva 2014

No

No

No

No

No

Yes

No

No

Yes

Levitzky 2008

Yes

No

Yes

No

No

Yes

No

No

No

Li 2003

Yes

Yes

Yes

No

No

No

No

No

No

Lipska 2013

Yes

Yes

No

Yes

Yes

Yes

No

Yes

No

Liu 2008

Yes

Yes

No

No

No

Yes

Yes

No

No

Liu 2016

Yes

No

Yes

No

No

No

No

Yes

No

Liu 2017

Yes

No

No

No

No

Yes

Yes

Yes

No

Lorenzo 2003

Yes

Yes

No

No

No

No

No

No

No

Lyssenko 2005

No

No

Yes

No

No

No

No

No

No

Man 2017

Yes

Yes

Yes

No

No

Yes

No

No

No

Mykkänen 1993

No

No

No

No

No

No

No

No

No

Nakagami 2016

Yes

No

Yes

No

No

Yes

Yes

No

No

Nakanishi 2004

Yes

No

No

No

No

Yes

Yes

No

No

Rathmann 2009

Yes

Yes

No

No

Yes

No

No

No

No

Rijkelijkhuizen 2007

Yes

Yes

No

No

No

No

No

No

No

Sadeghi 2015

Yes

Yes

Yes

No

No

No

No

No

No

Sato 2009

Yes

NA

Yes

No

No

Yes

Yes

Yes

No

Song 2015

Yes

No

Yes

No

No

Yes

Yes

Yes

No

Soriguer 2008

Yes

Yes

Yes

No

No

No

No

No

No

Stengard 1992

Yes

No

Yes

No

No

No

No

No

No

Vaccaro 1999

No

No

No

No

No

No

No

No

No

Valdes 2008

Yes

Yes

Yes

No

No

No

No

No

No

Viswanathan 2007

Yes

No

Yes

No

No

No

No

No

No

Wang 2007

Yes

Yes

No

No

No

Yes

No

No

No

Wang 2011

Yes

Yes

Yes

No

No

Yes

No

No

No

Warren 2017

Yes

Yes

Yes

Yes

No

Yes

Yes

No

Yes

Yeboah 2011

Yes

Yes

Yes

Yes

No

No

No

Yes

No

Zethelius 2004

Yes

No

Yes

No

No

No

No

No

No

'No' denotes possible confounder but statistical analysis did not adjust for this covariate

'Yes' indicates that statistical analysis adjusted for this confounder

NA: not applicable

Appendix 17. Confounder adjustment (II)

Study ID

Cardiovascular
disease

Glomerular filtration
rate, albuminuria

Blood pressure,
hypertension

Family history
of diabetes

Socioeconomic
status

Region

Depression

Triglycerides

Cholesterol

Admiraal 2014

No

No

No

No

No

No

No

No

No

Aekplakorn 2006

No

No

No

No

No

No

No

No

No

Bae 2011

No

No

No

No

No

No

No

No

No

Bergman 2016

Yes

No

Yes

No

No

No

No

Yes

Yes

Bonora 2011

No

No

Yes

Yes

Yes

No

No

Yes

Yes

Cederberg 2010

No

No

No

No

No

No

No

No

No

Chamnan 2011

No

No

Yes

Yes

Yes

No

No

Yes

Yes

Chen 2003

No

No

No

Yes

No

No

No

Yes

No

Coronado‐Malagon 2009

No

No

No

No

No

No

No

No

No

Cugati 2007

No

No

No

No

No

No

No

No

No

De Abreu 2015

No

No

Yes

No

No

No

No

Yes

Yes

Derakhshan 2016

No

No

No

Yes

Yes

No

No

Yes

Yes

Dowse 1991

No

No

No

No

No

No

No

No

No

Ferrannini 2009

No

No

No

No

No

No

No

No

No

Filippatos 2016

No

No

Yes

No

No

No

No

Yes

Yes

Forouhi 2007

No

No

No

Yes

No

No

No

No

No

Han 2017

No

No

Yes

Yes

No

Yes

No

Yes

Yes

Hanley 2005

No

No

No

No

No

No

No

No

No

Heianza 2012

No

No

Yes

Yes

No

No

No

Yes

Yes

Janghorbani 2015

No

No

No

No

No

No

No

Yes

Yes

Jeong 2010

No

No

Yes

No

No

No

No

Yes

Yes

Kim 2005

No

No

Yes

Yes

No

No

No

Yes

Yes

Kim 2016a

No

No

Yes

Yes

No

No

No

Yes

Yes

Latifi 2016

No

No

Yes

Yes

No

No

No

No

No

Leiva 2014

No

No

No

Yes

No

No

No

No

No

Levitzky 2008

No

No

No

No

No

No

No

No

No

Li 2003

No

No

No

No

No

No

No

No

No

Lipska 2013

No

No

Yes

No

No

No

No

No

No

Liu 2008

No

No

No

Yes

No

No

No

No

No

Liu 2016

No

No

No

No

No

No

No

No

No

Liu 2017

No

No

No

No

Yes

Yes

No

No

No

Lorenzo 2003

No

No

No

Yes

No

No

No

No

No

Lyssenko 2005

No

No

No

No

No

No

No

No

No

Man 2017

No

No

Yes

Yes

Yes

No

No

No

Yes

Mykkänen 1993

No

No

No

No

No

No

No

No

No

Nakagami 2016

No

No

Yes

Yes

No

No

No

No

Yes

Nakanishi 2004

No

No

No

Yes

No

No

No

No

No

Rathmann 2009

No

No

Yes

No

No

No

No

No

No

Rijkelijkhuizen 2007

No

No

No

No

No

No

No

No

No

Sadeghi 2015

No

No

No

Yes

No

No

No

No

No

Sato 2009

No

No

No

Yes

No

No

No

No

No

Song 2015

No

No

Yes

Yes

No

No

No

Yes

No

Soriguer 2008

No

No

Yes

Yes

No

No

No

Yes

No

Stengard 1992

No

No

No

No

No

No

No

No

No

Vaccaro 1999

No

No

No

No

No

No

No

No

No

Valdes 2008

No

No

No

No

No

No

No

Yes

No

Viswanathan 2007

No

No

No

Yes

No

No

No

No

No

Wang 2007

No

No

No

Yes

Yes

No

No

No

Yes

Wang 2011

No

No

Yes

Yes

No

No

No

Yes

Yes

Warren 2017

No

Yes

Yes

Yes

Yes

No

No

Yes

Yes

Yeboah 2011

No

No

No

No

Yes

No

No

No

No

Zethelius 2004

No

No

No

No

No

No

No

No

No

'No' denotes possible confounder but statistical analysis did not adjust for this covariate

'Yes' indicates that statistical analysis adjusted for this confounder

Study flow diagram
Figuras y tablas -
Figure 1

Study flow diagram

Risk of bias graph for studies of overall prognosis of people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item presented as percentages across all included studies
Figuras y tablas -
Figure 2

Risk of bias graph for studies of overall prognosis of people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item presented as percentages across all included studies

'Risk of bias' summary for studies of overall prognosis in people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study (part 1). The summary was split into part 1 () and part 2 () for better legibility
Figuras y tablas -
Figure 3

'Risk of bias' summary for studies of overall prognosis in people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study (part 1). The summary was split into part 1 (Figure 3) and part 2 (Figure 4) for better legibility

Risk of bias summary for studies of overall prognosis of people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study (part 2)
Figuras y tablas -
Figure 4

Risk of bias summary for studies of overall prognosis of people with intermediate hyperglycaemia for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study (part 2)

Risk of bias graph for studies of intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes: review authors' judgements about each risk of bias item presented as percentages across all included studies
Figuras y tablas -
Figure 5

Risk of bias graph for studies of intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes: review authors' judgements about each risk of bias item presented as percentages across all included studies

Risk of bias summary for studies of intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study
Figuras y tablas -
Figure 6

Risk of bias summary for studies of intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes: review authors' judgements about each risk of bias item for each included study

Impaired fasting glucose 5.6 mmol/L (IFG5.6) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 2–5 years
 *Isolated IFG5.6
 CI: confidence interval; M: men; n/N: events/number of participants; W: women
Figuras y tablas -
Figure 7

Impaired fasting glucose 5.6 mmol/L (IFG5.6) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 2–5 years
*Isolated IFG5.6
CI: confidence interval; M: men; n/N: events/number of participants; W: women

Impaired fasting glucose 5.6 mmol/L (IFG5.6) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–12 years
 *Isolated IFG5.6 
 **'Africa': African Surinamese cohort, 'Asia': Asian Surinamese cohort, 'Australia/Europe/North America': 'ethnic Dutch' cohort.
 CI: confidence interval; M: men; n/N: events/number of participants; W: women
Figuras y tablas -
Figure 8

Impaired fasting glucose 5.6 mmol/L (IFG5.6) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–12 years
*Isolated IFG5.6
**'Africa': African Surinamese cohort, 'Asia': Asian Surinamese cohort, 'Australia/Europe/North America': 'ethnic Dutch' cohort.
CI: confidence interval; M: men; n/N: events/number of participants; W: women

Impaired fasting glucose 6.1 mmol/L (IFG6.1) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 2–5 years
 *Isolated IFG6.1
 CI: confidence interval; M: men; n/N: events/number of participants; W: women
Figuras y tablas -
Figure 9

Impaired fasting glucose 6.1 mmol/L (IFG6.1) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 2–5 years
*Isolated IFG6.1
CI: confidence interval; M: men; n/N: events/number of participants; W: women

Impaired fasting glucose 6.1 mmol/L (IFG6.1) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–15 years
 *Isolated IFG6.1
 CI: confidence interval; n/N: events/number of participants
Figuras y tablas -
Figure 10

Impaired fasting glucose 6.1 mmol/L (IFG6.1) threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–15 years
*Isolated IFG6.1
CI: confidence interval; n/N: events/number of participants

Impaired glucose tolerance (IGT): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 1–5 years
 *Isolated IGT
 CI: confidence interval; n/N: events/number of participants
Figuras y tablas -
Figure 11

Impaired glucose tolerance (IGT): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 1–5 years
*Isolated IGT
CI: confidence interval; n/N: events/number of participants

Impaired glucose tolerance (IGT): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–20 years*Isolated IGT
 CI: confidence interval; M: men; n/N: events/number of participants; W: women
Figuras y tablas -
Figure 12

Impaired glucose tolerance (IGT): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 6–20 years

*Isolated IGT
CI: confidence interval; M: men; n/N: events/number of participants; W: women

Combined impaired glucose tolerance (IGT) and impaired fasting glucose (IFG): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 1–12 years
 CI: confidence interval; M: men; n/N: events/number of participants; W: women
Figuras y tablas -
Figure 13

Combined impaired glucose tolerance (IGT) and impaired fasting glucose (IFG): association with cumulative type 2 diabetes mellitus (T2DM) incidence over 1–12 years
CI: confidence interval; M: men; n/N: events/number of participants; W: women

Elevated glycosylated haemoglobin A1c (HbA1c) 5.7% threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 4–10 years
 CI: confidence interval; n/N: events/number of participants
Figuras y tablas -
Figure 14

Elevated glycosylated haemoglobin A1c (HbA1c) 5.7% threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 4–10 years
CI: confidence interval; n/N: events/number of participants

Elevated glycosylated haemoglobin A1c (HbA1c) 6.0% threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 3–15 years
 CI: confidence interval; n/N: events/number of participants
Figuras y tablas -
Figure 15

Elevated glycosylated haemoglobin A1c (HbA1c) 6.0% threshold: association with cumulative type 2 diabetes mellitus (T2DM) incidence over 3–15 years
CI: confidence interval; n/N: events/number of participants

Cumulative type 2 diabetes mellitus (T2DM) incidence in children/adolescents over 1–10 years
 CI: confidence interval; HbA1c 5.7: glycosylated haemoglobin A1c 5.7% threshold; (i‐)IGT: (isolated) impaired glucose tolerance; n/N: events/number of participants; NO: non‐overweight; OV: overweight
Figuras y tablas -
Figure 16

Cumulative type 2 diabetes mellitus (T2DM) incidence in children/adolescents over 1–10 years
CI: confidence interval; HbA1c 5.7: glycosylated haemoglobin A1c 5.7% threshold; (i‐)IGT: (isolated) impaired glucose tolerance; n/N: events/number of participants; NO: non‐overweight; OV: overweight

Regression from intermediate hyperglycaemia to normoglycaemia in adults over 1–5 years
 CI: confidence interval; HbA1c5.7 : glycosylated haemoglobin A1c 5.7%; i‐IFG5.6/6.1 : (isolated) impaired fasting glucose 5.6/6.1 mmol/L threshold;IGT: impaired glucose tolerance; n/N: events/number of participants
Figuras y tablas -
Figure 17

Regression from intermediate hyperglycaemia to normoglycaemia in adults over 1–5 years
CI: confidence interval; HbA1c5.7 : glycosylated haemoglobin A1c 5.7%; i‐IFG5.6/6.1 : (isolated) impaired fasting glucose 5.6/6.1 mmol/L threshold;IGT: impaired glucose tolerance; n/N: events/number of participants

Regression from intermediate hyperglycaemia to normoglycaemia in adults over 6–11 years
 CI: confidence interval; i‐IFG5.6/6.1 : (isolated) impaired fasting glucose 5.6/6.1 mmol/L threshold; i‐IGT: (isolated) impaired glucose tolerance; n/N: events/number of participants
Figuras y tablas -
Figure 18

Regression from intermediate hyperglycaemia to normoglycaemia in adults over 6–11 years
CI: confidence interval; i‐IFG5.6/6.1 : (isolated) impaired fasting glucose 5.6/6.1 mmol/L threshold; i‐IGT: (isolated) impaired glucose tolerance; n/N: events/number of participants

Regression from intermediate hyperglycaemia to normoglycaemia in children/adolescents over 1–4 years
 CI: confidence interval; IGT: impaired glucose tolerance; n/N: events/number of participants
Figuras y tablas -
Figure 19

Regression from intermediate hyperglycaemia to normoglycaemia in children/adolescents over 1–4 years
CI: confidence interval; IGT: impaired glucose tolerance; n/N: events/number of participants

IFG: impaired fasting glucose; IRR: incidence rate ratio; n: number of cases; T: person‐time in years
Figuras y tablas -
Figure 20

IFG: impaired fasting glucose; IRR: incidence rate ratio; n: number of cases; T: person‐time in years

IFG: impaired fasting glucose; IRR: incidence rate ratio; n: number of cases; T: person‐time in years
Figuras y tablas -
Figure 21

IFG: impaired fasting glucose; IRR: incidence rate ratio; n: number of cases; T: person‐time in years

IGT: impaired glucose tolerance; IRR: incidence rate ratio; n: number of cases; T: person‐time in years
Figuras y tablas -
Figure 22

IGT: impaired glucose tolerance; IRR: incidence rate ratio; n: number of cases; T: person‐time in years

IFG: impaired fasting glucose; IGT: impaired glucose tolerance; IRR: incidence rate ratio; n: number of cases; T: person‐time in years
Figuras y tablas -
Figure 23

IFG: impaired fasting glucose; IGT: impaired glucose tolerance; IRR: incidence rate ratio; n: number of cases; T: person‐time in years

IFG: impaired fasting glucose; HbA1c: glycosylated haemoglobin A1c; IRR: incidence rate ratio; n: number of cases; T: person‐time in years
Figuras y tablas -
Figure 24

IFG: impaired fasting glucose; HbA1c: glycosylated haemoglobin A1c; IRR: incidence rate ratio; n: number of cases; T: person‐time in years

Overall prognosis of people with intermediate hyperglycaemia (cumulative type 2 diabetes incidence and regression to normoglycaemia) associated with measures of intermediate hyperglycaemia
 HbA1c5.7/HbA1c6.0: glycosylated haemoglobin A1c 5.7%/6.0% threshold; IFG5.6/6.1: impaired fasting glucose 5.6/6.1 mmol/L threshold; IGT: impaired glucose tolerance
Figuras y tablas -
Figure 25

Overall prognosis of people with intermediate hyperglycaemia (cumulative type 2 diabetes incidence and regression to normoglycaemia) associated with measures of intermediate hyperglycaemia
HbA1c5.7/HbA1c6.0: glycosylated haemoglobin A1c 5.7%/6.0% threshold; IFG5.6/6.1: impaired fasting glucose 5.6/6.1 mmol/L threshold; IGT: impaired glucose tolerance

Intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes (associated with different measures and relative risks of intermediate hyperglycaemia)
 HbA1c5.7/HbA1c6.0: glycosylated haemoglobin A1c 5.7%/6.0% threshold; IFG5.6/6.1: impaired fasting glucose 5.6/6.1 mmol/L threshold; IGT: impaired glucose tolerance; IRR: incidence rate ratio; OR: odds ratio; HR: hazard ratio
Figuras y tablas -
Figure 26

Intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for developing type 2 diabetes (associated with different measures and relative risks of intermediate hyperglycaemia)
HbA1c5.7/HbA1c6.0: glycosylated haemoglobin A1c 5.7%/6.0% threshold; IFG5.6/6.1: impaired fasting glucose 5.6/6.1 mmol/L threshold; IGT: impaired glucose tolerance; IRR: incidence rate ratio; OR: odds ratio; HR: hazard ratio

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 1 T2DM incidence (IFG5.6).
Figuras y tablas -
Analysis 1.1

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 1 T2DM incidence (IFG5.6).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 2 T2DM incidence (IFG6.1).
Figuras y tablas -
Analysis 1.2

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 2 T2DM incidence (IFG6.1).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 3 T2DM incidence (IGT).
Figuras y tablas -
Analysis 1.3

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 3 T2DM incidence (IGT).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 4 T2DM incidence (IFG + IGT).
Figuras y tablas -
Analysis 1.4

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 4 T2DM incidence (IFG + IGT).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 5 T2DM incidence (HbA1c5.7).
Figuras y tablas -
Analysis 1.5

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 5 T2DM incidence (HbA1c5.7).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 6 T2DM incidence (HbA1c6.0).
Figuras y tablas -
Analysis 1.6

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 6 T2DM incidence (HbA1c6.0).

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 7 T2DM incidence (HbA1c + IFG).
Figuras y tablas -
Analysis 1.7

Comparison 1 Hazard ratio as the effect measure for the development of T2DM, Outcome 7 T2DM incidence (HbA1c + IFG).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 1 T2DM incidence (IFG5.6).
Figuras y tablas -
Analysis 2.1

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 1 T2DM incidence (IFG5.6).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 2 T2DM incidence (IFG6.1).
Figuras y tablas -
Analysis 2.2

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 2 T2DM incidence (IFG6.1).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 3 T2DM incidence (IGT).
Figuras y tablas -
Analysis 2.3

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 3 T2DM incidence (IGT).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 4 T2DM incidence (IFG + IGT).
Figuras y tablas -
Analysis 2.4

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 4 T2DM incidence (IFG + IGT).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 5 T2DM incidence (HbA1c5.7).
Figuras y tablas -
Analysis 2.5

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 5 T2DM incidence (HbA1c5.7).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 6 T2DM incidence (HbA1c6.0).
Figuras y tablas -
Analysis 2.6

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 6 T2DM incidence (HbA1c6.0).

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 7 T2DM incidence (HbA1c5.7 + IFG5.6).
Figuras y tablas -
Analysis 2.7

Comparison 2 Odds ratio as the effect measure for the development of T2DM, Outcome 7 T2DM incidence (HbA1c5.7 + IFG5.6).

Summary of findings for the main comparison. Summary of findings: overall prognosis of people with intermediate hyperglycaemia for developing T2DM

Outcome: development of T2DM
Prognosis of people with intermediate hyperglycaemia

Follow‐up
(years)

Cumulative T2DM incidence % (95% CI)
[no of studies; no of participants with intermediate hyperglycaemia]

Regression from intermediate hyperglycaemia to normoglycaemia % (95% CI)
[no of studies; no of participants with intermediate hyperglycaemia]

Overall certainty of the evidence (GRADE)a

IFG5.6

IFG6.1

IGT

IFG + IGT

HbA1c5.7

HbA1c6.0

1

13 (5–23)

[3; 671]

29 (23–36)

[1; 207]

59 (54–64)

[2; 375]

⊕⊕⊕⊝
Moderateb

2

2 (1–2)

[1; 1335]

11 (8–14)

[2; 549]

16 (9–26)

[9; 1998]

46 (36–55)

[9; 2852]

3

17 (6–32)

[3; 1091]

9 (2–20)

[3; 927]

22 (18–27)

[3; 417]

34 (28–41)

[1; 209]—

7 (5–10)

[1; 370]

41 (24–69)

[7; 1356]

4

17 (13–22)

[3; 800]

30 (17–44)

[2; 1567]

22 (12–34)

[5; 1042]

14 (7–23)

[3; 5352]

44 (40–48)

[2; 627]

33 (26–40)

[3; 807]

5

18 (10–27)

[7; 3530]

26 (19–33)

[11; 3837]

39 (25–53)

[12; 3444]

50 (37–63)

[5; 478]

25 (18–32)

[4; 3524]

38 (26–51)

[3; 1462]

34 (27–42)

[9; 2603]

6

22 (15–31)

[4; 738]

37 (31–43)

[5; 279]

29 (25–34)

[7; 775]

58 (48–67)

[4; 106]

17 (14–20)

[1; 675]

23 (3–53)

[5; 1328]

7

18 (8–30)

[5; 980]

15 (0–45)

[4; 434]

19 (13–26)

[5; 835]

32 (20–45)

[4; 753]

21 (16–27)

[1; 207]

41 (37–45)

[4; 679]

8

34 (27–40)

[2; 1887]

48 (31–66)

[1;29]

43 (37–49)

[4; 1021]

52 (47–57)

[1; 356]

39 (33–44)

[2; 328]

9

38 (10–70)

[3; 1356]

53 (45–60)

[1; 163]

84 (74–91)

[1; 69]

17 (14–22)

[1; 299]

10

23 (14–33)

[6; 1542]

29 (17–43)

[6; 537]

26 (17–37)

[6; 443]

30 (17–44)

[2; 49]

31 (29–33)

[2; 2854]

42 (22–63)

[7; 894]

11

38 (33–43)

[1; 402]

46 (43–49)

[1; 1253]

28 (17–39)

[2; 736]

12

31 (19–34)

[3; 433]

31 (28–33)

[1; 1382]

41 (38–43)

[2; 1552]

70 (63–76)

[2; 207]

15

29 (19–40)

[1; 70]

20

60 (5–68)

[1; 114]

CI: confidence interval; HbA1c5.7 : glycosylated haemoglobin A1c, 5.7% threshold; HbA1c6.0 : glycosylated haemoglobin A1c, 6.0% threshold; IFG5.6 : impaired fasting glucose, 5.6 mmol/L threshold; IFG6.1 : impaired fasting glucose, 6.1 mmol/L threshold; IGT: impaired glucose tolerance; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of imprecision (wide CIs for most intermediate hyperglycaemia definitions and the association with T2DM incidence and regression from intermediate hyperglycaemia)

Figuras y tablas -
Summary of findings for the main comparison. Summary of findings: overall prognosis of people with intermediate hyperglycaemia for developing T2DM
Summary of findings 2. Summary of findings: risk of intermediate hyperglycaemia (IFG5.6 mmol/L definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia versus normoglycaemia as measured by IFG5.6

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of the evidence (GRADE)a

HR: 4

IRR: 6

OR: 10

HR: 2385

IRR: 15,661

OR: 6359

Asia/Middle East

HR: 5.07 (3.41–4.86) [1.07–24.02]

IRR: 5.23 (3.77–7.25) [1.72–15.89]

OR: 2.94 (1.77–4.86) [0.43–19.93]

⊕⊕⊝⊝
Lowb

HR: 3

IRR: 3

OR: 9

HR: 5685

IRR: 6322

OR: 1949

Australia/Europe/North America

HR: 4.15 (1.24–13.9) [N/M]

IRR: 4.96 (3.25–7.57) [0.32–77.24]

OR: 6.47 (3.81–11.00) [0.99–42.32]

HR: 0

IRR: 0

OR: 1

HR: 0

IRR: 0

OR: 65

Latin America

HR: NA

IRR: NA

OR: 4.28 (3.21–5.71)

HR: 1

IRR: 1

OR: 1

HR: 947

IRR: 2374

OR: 947

American Indians/Islands

HR: 2.38 (1.85–3.06)

IRR: 2.74 (1.88–3.99)

OR: 3.12 (2.31–4.21)

HR: 8

IRR: 10

OR: 21

HR: 9017

IRR: 24,357

OR: 9320

Overall

HR: 4.32 (2.61–7.12) [0.75–25.0]

IRR: 4.81 (3.67–6.30) [1.95–11.83]

OR: 4.15 (2.75–6.28) [0.53–32.4]

CI: confidence interval; HR: hazard ratio;IFG5.6 : impaired fasting glucose 5.6 mmol/L threshold; IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; OR: odds ratio; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (CIs were wide) and inconsistency (wide 95% prediction intervals sometimes ranging from negative to positive prognostic factor to outcome associations)

Figuras y tablas -
Summary of findings 2. Summary of findings: risk of intermediate hyperglycaemia (IFG5.6 mmol/L definition) versus normoglycaemia for developing T2DM
Summary of findings 3. Summary of findings: risk of intermediate hyperglycaemia (IFG6.1 mmol/L definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia as measured by IFG6.1

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of
the evidence (GRADE)a

HR: 5

IRR: 2

OR: 7

HR: 1054

IRR: 1677

OR: 3317

Asia/Middle East

HR: 10.55 (3.61–30.81) [N/M]

IRR: 3.62 (1.67–7.83) [N/M]

OR: 5.18 (2.32–11.53) [0.29–91.37]

⊕⊕⊝⊝
Lowb

HR: 4

IRR: 4

OR: 7

HR: 1736

IRR: 3438

OR: 1240

Australia/Europe/North America

HR: 3.30 (2.32–4.67) [0.84–12.99]

IRR: 8.55 (6.37–11.48) [4.37–16.73]

OR: 8.69 (4.95–15.24) [1.20–62.69]

HR: 0

IRR: 0

OR: 1

HR: 0

IRR: 0

OR: 17

Latin America

HR: NA

IRR: NA

OR: 3.73 (2.18–6.38)

HR: 0

IRR: 0

OR: 0

HR: 0

IRR: 0

OR: 0

American Indians/Islands

HR: NA

IRR: NA

OR: NA

HR: 9

IRR: 6

OR: 15

HR: 2818

IRR: 5115

OR: 4574

Overall

HR: 5.47 (3.50–8.54) [1.09–27.56]

IRR: 6.82 (4.53–10.25) [2.03–22.87]

OR: 6.60 (4.18–10.43) [0.93–46.82]

CI: confidence interval; HR: hazard ratio;IFG6.1 : impaired fasting glucose 6.1 mmol/L threshold; IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; OR: odds ratio; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (CIs were wide) and inconsistency (wide 95% prediction intervals sometimes ranging from negative to positive prognostic factor to outcome associations)

Figuras y tablas -
Summary of findings 3. Summary of findings: risk of intermediate hyperglycaemia (IFG6.1 mmol/L definition) versus normoglycaemia for developing T2DM
Summary of findings 4. Summary of findings: risk of intermediate hyperglycaemia (IGT definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia as measured by IGT

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of the evidence (GRADE)a

HR: 3

IRR: 5

OR: 6

HR: 1780

IRR: 14,809

OR: 1226

Asia/Middle East

HR: 4.48 (2.81–7.15) [N/M]

IRR: 3.93 (3.03–5.10) [1.71–9.02]

OR: 3.74 (2.83–4.94) [1.70–8.21]

⊕⊕⊝⊝
Lowb

HR: 2

IRR: 5

OR: 11

HR: 2230

IRR: 2572

OR: 1481

Australia/Europe/North America

HR: 2.53 (1.52–4.19) [N/M]

IRR: 5.93 (4.11–8.57) [2.38–14.81]

OR: 5.20 (3.62–7.45) [1.50–18.09]

HR: 0

IRR: 0

OR: 2

HR: 0

IRR: 0

OR: 381

Latin America

HR: NA

IRR: NA

OR: 4.94 (3.15–7.76) [N/M]

IRR: 2
OR: 1
HR: 0

IRR: 1087
OR: 51
HR: 0

American Indians/Islands

IRR: 4.46 (3.12–6.38) [N/M]

OR: 3.60 (1.40–9.26)

HR: NA

HR: 5

IRR: 12

OR: 20

HR: 4010

IRR: 18,468

OR: 3139

Overall

HR: 3.61 (2.31–5.64) [0.69–18.97]

IRR: 4.48 (3.59–5.44) [2.60–7.70]

OR: 4.61 (3.76–5.64) [2.10–10.13]

CI: confidence interval; HR: hazard ratio;IGT: impaired glucose tolerance; IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (CIs were wide) and inconsistency (wide 95% prediction intervals sometimes ranging from negative to positive prognostic factor to outcome associations)

Figuras y tablas -
Summary of findings 4. Summary of findings: risk of intermediate hyperglycaemia (IGT definition) versus normoglycaemia for developing T2DM
Summary of findings 5. Summary of findings: risk of intermediate hyperglycaemia (combined IFG and IGT definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia as measured by combined IFG and IGT

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of the evidence (GRADE)a

HR: 3

IRR: 4

OR: 3

HR: 461

IRR: 3166

OR: 498

Asia/Middle East

HR: 10.20 (5.45–19.09) [N/M]

IRR: 11.20 (5.59–22.43) [N/M]

OR: 6.99 (3.09–15.83) [N/M]

⊕⊕⊝⊝
Lowb

HR: 1

IRR: 4

OR: 6

HR: 221

IRR: 699

OR: 154

Australia/Europe/North America

HR: 3.80 (2.30–6.28) [N/M]

IRR: 13.92 (9.99–19.40) [6.71–28.85]

OR: 20.95 (12.40–35.40) [4.93–89.05]

HR: 0

IRR: 0

OR: 0

HR: 0

IRR: 0

OR: 0

Latin America

HR: NA

IRR: NA

OR: NA

HR: 1

IRR: 1
OR: 0

HR: 356

IRR: 605
OR: 0

American Indians/Islands

HR: 4.06 (3.05–5.40)

IRR: 5.18 (3.42–7.83)
OR: NA

HR: 5

IRR: 9

OR: 9

HR: 1038

IRR: 4470

OR: 652

Overall

HR: 6.90 (4.15–11.45) [1.06–44.95]

IRR: 10.94 (7.22–16.58) [2.58–46.46]

OR: 13.14 (7.41–23.30) [1.84–93.66]

CI: confidence interval; HR: hazard ratio;IFG: impaired fasting glucose; IGT: impaired glucose tolerance; IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; OR: odds ratio; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (CIs were wide) and inconsistency (wide 95% prediction intervals)

Figuras y tablas -
Summary of findings 5. Summary of findings: risk of intermediate hyperglycaemia (combined IFG and IGT definition) versus normoglycaemia for developing T2DM
Summary of findings 6. Summary of findings: risk of intermediate hyperglycaemia (HbA1c5.7 definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia as measured by HbA1c5.7

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of the evidence (GRADE)a

HR: 3

IRR: 1

OR: 1

HR: 3196

IRR: 1965

OR: 675

Asia/Middle East

HR: 7.21 (5.14–10.11) [0.81–64.52]

IRR: 6.62 (4.18–10.49) [N/M]

OR: 4.54 (2.65–7.78) [N/M]

⊕⊕⊝⊝
Lowb

HR: 1

IRR: 0

OR: 2

HR: 2027

IRR: 0

OR: 231

Australia/Europe/North America

HR: 2.71 (2.48–2.96) [N/M]

IRR: NA

OR: 4.38 (1.36–14.15) [N/M]

HR: 0

IRR: 0

OR: 0

HR: 0

IRR: 0

OR: 0

Latin America

HR: NA

IRR: NA

OR: NA

HR: 0

IRR: 0

OR: 0

HR: 0

IRR: 0

OR: 0

American Indians/Islands

HR: NA

IRR: NA

OR: NA

HR: 4

IRR: 1

OR: 3

HR: 5223

IRR: 1965

OR: 906

Overall

HR: 5.55 (2.77–11.12) [0.23–141.18]

IRR: 6.62 (4.18–10.49) [N/M]

OR: 4.43 (2.20–8.88) [N/M]

CI: confidence interval; HbA1c5.7 : glycosylated haemoglobin A1c 5.7% threshold; HR: hazard ratio;IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; OR: odds ratio; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (CIs were wide) and inconsistency (95% prediction intervals sometimes ranging from negative to positive prognostic factor to outcome associations)

Figuras y tablas -
Summary of findings 6. Summary of findings: risk of intermediate hyperglycaemia (HbA1c5.7 definition) versus normoglycaemia for developing T2DM
Summary of findings 7. Summary of findings: risk of intermediate hyperglycaemia (HbA1c6.0 definition) versus normoglycaemia for developing T2DM

Outcome: development of T2DM
Prognostic factor: intermediate hyperglycaemia as measured by HbA1c6.0

No of studies

No of participants with intermediate hyperglycaemia

Geographic region/special population

Estimated effect (95% CI)
[95% prediction interval]

Overall certainty of the evidence (GRADE)a

HR: 2

IRR: 0

OR: 1

HR: 1040

IRR: 0

OR: 370

Australia/Europe/North America

HR: 5.09 (1.69–15.37) [N/M]

IRR: NA

OR: 15.60 (6.90–35.27) [N/M]

⊕⊕⊝⊝
Lowb

HR: 4

IRR: 0

OR: 1

HR: 3492

IRR: 0

OR: 1103

Asia/Middle East

HR: 13.12 (4.10–41.96) [N/M]

IRR: NA

OR: 23.20 (18.70–28.78) [N/M]

HR: 0

IRR: 0

OR: 0

HR: 0

IRR: 0

OR: 0

Latin America

HR: NA

IRR: NA

OR: NA

IRR: 0
OR: 1
HR: 0

IRR: 0
OR: 121

HR: 0

American Indians/Islands

IRR: NA

OR: 5.89 (4.23–8.20) [N/M]

HR: NA

HR: 6

IRR: 0

OR: 3

HR: 4532

IRR: 0

OR: 1594

Overall

HR: 10.10 (3.59–28.43) [N/M]

IRR: NA

OR: 12.79 [4.56–35.85] [N/M]

CI: confidence interval; HbA1c6.0 : glycosylated haemoglobin A1c 6.0% threshold; HR: hazard ratio;IRR: incidence rate ratio; NA: not applicable; N/M: fewer than 3 studies or calculation of the 95% prediction interval did not provide a meaningful estimate; OR: odds ratio; T2DM: type 2 diabetes mellitus.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aWith phase 2 explanatory studies aiming to confirm independent associations between the prognostic factor and the outcome, GRADE starts with 'high quality' (Huguet 2013). We assumed the GRADE factor publication bias was inherent with this type of research (phase 2 design), so we did not use it as a potential downgrading factor
bDowngraded by one level because of study limitations (many studies did not adequately adjust for confounders, if at all) and by one level because of imprecision (most CIs were wide)

Figuras y tablas -
Summary of findings 7. Summary of findings: risk of intermediate hyperglycaemia (HbA1c6.0 definition) versus normoglycaemia for developing T2DM
Table 1. Overview: overall prognosis of people with intermediate hyperglycaemia and regression from intermediate hyperglycaemia to normoglycaemia

Follow‐up time (years)

% (95% CI) cumulative T2DM incidence
[no of studies; no of participants with IH]

% (95% CI) regression from IH to normoglycaemia
[no of studies; no of participants with IH]

IFG5.6

IFG6.1

IGT

IFG + IGT

HbA1c5.7

HbA1c6.0

1

13 (5–23)

[3; 671]

29 (23–36)

[1; 207]

59 (54–64)

[2; 375]

2

2 (1–2)

[1; 1335]

11 (8–14)

[2; 549]

16 (9–26)

[9; 1998]

46 (36–55)

[9; 2852]

3

17 (6–32)

[3; 1091]

9 (2–20)

[3; 927]

22 (18–27)

[3; 417]

34 (28–41)

[1; 209]

7 (5–10)

[1; 370]

41 (24–59)

[7; 1356]

4

17 (13–22)

[3; 800]

30 (17–44)

[2; 1567]

22 (12–34)

[5; 1042]

14 (7–23)

[3; 5352]

44 (40–48)

[2; 627]

33 (26–40)

[3; 807]

5

18 (10–27)

[7; 3530]

26 (19–33)

[11; 3837]

39 (25–53)

[12; 3444]

50 (37–63)

[5; 478]

25 (18–32)

[4; 3524]

38 (26–51)

[3; 1462]

34 (27–42)

[9; 2603]

6

22 (15–31)

[4; 738]

37 (31–43)

[5; 279]

29 (25–34)

[7; 775]

58 (48–67)

[4; 106]

17 (14–20)

[1; 675]

23 (3–53)

[5; 1328]

7

18 (8–30)

[5; 980]

15 (0–45)

[4; 434]

19 (13–26)

[5; 835]

32 (20–45)

[4; 753]

21 (16–27)

[1; 207]

41 (37–45)

[4; 679]

8

34 (27–40)

[2; 1887]

48 (31–66)

[1;29]

43 (37–49)

[4; 1021]

52 (47–57)

[1; 356]

39 (33–44)

[2; 328]

9

38 (10–70)

[3; 1356]

53 (45–60)

[1; 163]

84 (74–91)

[1; 69]

17 (14–22)

[1; 299]

10

23 (14–33)

[6; 1542]

29 (17–43)

[6; 537]

26 (17–37)

[6; 443]

30 (17–44)

[2; 49]

31 (29–33)

[2; 2854]

42 (22–63)

[7; 894]

11

38 (33–43)

[1; 402]

46 (43–49)

[1; 1253]

28 (17–39)

[2; 736]

12

31 (19–34)

[3; 433]

31 (28–33)

[1; 1382]

41 (38–43)

[2; 1552]

70 (63–76)

[2; 207]

15

29 (19–40)

[1; 70]

20

60 (5–68)

[1; 114]

CI: confidence interval; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 (threshold 5.7% or 6.0%); IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG + IGT: both IFG and IGT; IH: intermediate hyperglycaemia; T2DM: type 2 diabetes mellitus

Figuras y tablas -
Table 1. Overview: overall prognosis of people with intermediate hyperglycaemia and regression from intermediate hyperglycaemia to normoglycaemia
Table 2. Overview: intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for the development of type 2 diabetes

Ratio (95% CI)
95% prediction intervala,b

[no of studies; no of participants with IH/no of participants with normoglycaemia]

Hazard ratio

Region

IFG5.6 cohort

IFG6.1 cohort

IGT cohort

IFG + IGT cohort

HbA1c5.7 cohort

HbA1c6.0 cohort

HbA1c5.7 + IFG5.6 cohort

Asia/Middle East

5.07 (3.41‐7.53)

1.07–24.02

[4; 2385/12,837]

10.55 (3.61–30.81)

NAb

[5; 1054/9756]

4.48 (2.81–7.15)

NAb

[3; 1780/6695]

10.20 (5.45–19.09)

NAb

[3; 461/6695]

7.21 (5.14–10.11)

0.81–64.52

[3; 3196/13,609]

13.12 (4.10–41.96)

NAb

[4; 3492/19,242]

32.50 (23.00–45.92)c

NAa

[1; 410/4149]

Australia/Europe/North America

4.15 (1.24–13.87)

NAb

[3; 5685/12,837]

3.30 (2.32–4.67)

0.84–12.99

[4; 1736/8835]

2.53 (1.52–4.19)

NAa

[2; 2230/5871]

3.80 (2.30–6.28)

NAa

[1; 221/1429]

2.71 (2.48–2.96)

NAa

[1: 2027/6215]

5.09 (1.69–15.37)

NAa

[2; 1040/6925]

Latin America

2.06 (1.76–2.41)

NAb
[1; 28/66]

American Indians/Islands

2.38 (1.85–3.06)

NAa

[1; 947/595]

4.06 (3.05–5.40)

NAa

[1; 356/595]

Overall

4.32 (2.61–7.12)

0.75–25.01

[8; 9017/25,850]

5.47 (3.50–8.54)

1.09–27.56

[9; 2818/18,591]

3.61 (2.31–5.64)

0.69–18.97

[5; 4010/12,566]

6.90 (4.15–11.45)

1.06–44.95

[5; 1038/8719]

5.55 (2.77–11.12)

0.23–141.18

[4; 5223/19,824]

10.10 (3.59–28.43)

NAb

[6; 4532/26,167]

32.50 (23.00–45.92)

NAa

[1; 410/4149]

Incidence rate ratio

Region

IFG5.6 cohort

IFG6.1 cohort

IGT cohort

IFG + IGT cohort

HbA1c5.7 cohort

HbA1c6.0 cohort

HbA1c5.7 + IFG5.6 cohort

Asia/Middle East

5.23 (3.77–7.25)

1.72–15.89

[6; 15,661/145,597]

3.62 (1.67–7.83)

NAa

[2; 1677/36,334]

3.93 (3.03–5.10)

1.71–9.02

[5; 14,809/73,128]

11.20 (5.59–22.43)

NAb

[4; 3166/69,463]

6.62 (4.18–10.49)

NAa

[1; 1965/19961]

40.72 (29.30–56.61)

NAa

[1; 1641/19,961]

Australia/Europe/North America

4.96 (3.25–7.57)

0.32–77.24

[3; 6322/8062]

8.55 (6.37–11.48)

4.37–16.73

[4; 3438/20,246]

5.93 (4.11–8.57)

2.38–14.81

[5; 2572/22,329]

13.92 (9.99–19.40)

6.71–28.85

[4; 699/18,966]

Latin America

American Indians/Islands

2.74 (1.88–3.99)

NAa

[1; 2374/1613]

4.46 (3.12–6.38)

NAa

[2; 1087/2952]

5.18 (3.42–7.83)

NAa

[1; 605/1613]

Overall

4.81 (3.67–6.30)

1.95–11.83

[10; 24,357/155,272]

6.82 (4.53–10.25)

2.03–22.87

[6; 5115/56,580]

4.48 (3.69–5.44)

2.60–7.70

[12; 18,468/98,409]

10.94 (7.22–16.58)

2.58–46.46

[9; 4470/90,072]

6.62 (4.18–10.5)

NAa

[1; 1965/19961]

40.72 (29.30–56.61)

NAa

[1; 1641/19,961]

Odds ratio

IFG5.6 cohort

IFG6.1 cohort

IGT cohort

IFG + IGT cohort

HbA1c5.7 cohort

HbA1c6.0 cohort

HbA1c5.7 + IFG5.6 cohort

Asia/Middle East

2.94 (1.77–4.86)

0.43–19.93

[10; 6359/28,218]

5.18 (2.32–11.53)

0.29–91.37

[7; 3317/25,604]

3.74 (2.83–4.94)

1.70–8.21

[6; 1226/7417]

6.99 (3.09–15.83)

NAb

[3; 498/3704]

4.54 (2.65–7.78)

NAa

[1; 675/462]

23.20 (18.70–28.78)

NAa

[1; 1103/10,763]

46.70 (33.60–64.91)

NAa

[1; 1951/10,761]

Australia/Europe/North America

6.47 (3.81–11.00)

0.99–42.32

[9; 1949/7920]

8.69 (4.95–15.24)

1.20–62.69

[7; 1240/5094]

5.20 (3.62–7.45)

1.50–18.09

[11; 1481/7684]

20.95 (12.40–35.40)

4.93–89.05

[6; 154/5300]

4.38 (1.36–14.15)

NAa

[2; 231/2100]

15.60 (6.90–35.27)

NAa

[1; 370/5365]

26.20 (16.30–41.11)

NAa

[1; 169/1125]

Latin America

4.28 (3.21–5.71)

NAa

[1; 65/1594]

3.73 (2.18–6.38)

NAa

[1; 17/1594]

4.94 (3.15–7.76)

NAa

[2; 381/3097]

American Indians/Islands

3.12 (2.31–4.21)

NAa

[1; 947/595]

3.60 (1.40–9.26)

NAa

[1; 51/215]

5.89 (4.23–8.20)

NAa

[1; 121/595]

Overall

4.15 (2.75–6.28)

0.54–32.00

[21; 9320/38,327]

6.60 (4.18–10.43)

0.93–46.82

[15; 4574/32,292]

4.61 (3.76–5.64)

2.10–10.13

[20; 3139/18,413]

13.14 (7.41–23.30)

1.84–93.66

[9; 652/9004]

4.43 (2.20–8.88)

NAb

[3; 906/2562]

12.8 [4.56–35.9]

NAb

[3; 1594/16,723]

35.91 (20.43–63.12)

NAa

[2; 2120/11,886]

CI: confidence interval; HbA1c: glycosylated haemoglobin A1c; HbA1c5.7/6.0 (threshold 5.7% or 6.0%); HbA1c5.7 + IFG5.6 : both HbA1c5.7 and IFG5.6; IFG5.6/6.1 : impaired fasting glucose (threshold 5.6 mmol/L or 6.1 mmol/L); IGT: impaired glucose tolerance; IFG + IGT: both IFG and IGT; IH: intermediate hyperglycaemia; NA: not applicable; T2DM: type 2 diabetes mellitus; NR: not reported
aWith fewer than 3 studies a prediction interval could not be calculated
bCalculation of the 95% prediction interval did not provide a meaningful estimate
cCombination of HbA1c6.0 plus IFG5.6 at baseline showed a hazard ratio for T2DM development of 53.7 (95% CI 38.4–75.1)

Figuras y tablas -
Table 2. Overview: intermediate hyperglycaemia versus normoglycaemia as a prognostic factor for the development of type 2 diabetes
Comparison 1. Hazard ratio as the effect measure for the development of T2DM

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 T2DM incidence (IFG5.6) Show forest plot

8

34867

Hazard Ratio (Random, 95% CI)

4.32 [2.61, 7.12]

1.1 Asia/Middle East

4

14803

Hazard Ratio (Random, 95% CI)

5.07 [3.41, 7.53]

1.2 Australia/Europe/North America

3

18522

Hazard Ratio (Random, 95% CI)

4.15 [1.24, 13.87]

1.3 American Indians/Islands

1

1542

Hazard Ratio (Random, 95% CI)

2.38 [1.85, 3.06]

2 T2DM incidence (IFG6.1) Show forest plot

10

21475

Hazard Ratio (Random, 95% CI)

5.47 [3.50, 8.54]

2.1 Asia/Middle East

5

10810

Hazard Ratio (Random, 95% CI)

10.55 [3.61, 30.81]

2.2 Australia/Europe/North America

4

10571

Hazard Ratio (Random, 95% CI)

3.30 [2.32, 4.67]

2.3 Latin America

1

94

Hazard Ratio (Random, 95% CI)

2.06 [1.76, 2.41]

3 T2DM incidence (IGT) Show forest plot

5

16576

Hazard Ratio (Random, 95% CI)

3.61 [2.31, 5.64]

3.1 Asia/Middle East

3

8475

Hazard Ratio (Random, 95% CI)

4.48 [2.81, 7.15]

3.2 Australia/Europe/North America

2

8101

Hazard Ratio (Random, 95% CI)

2.53 [1.52, 4.19]

4 T2DM incidence (IFG + IGT) Show forest plot

5

9757

Hazard Ratio (Random, 95% CI)

6.90 [4.15, 11.45]

4.1 Asia/Middle East

3

7156

Hazard Ratio (Random, 95% CI)

10.20 [5.45, 19.09]

4.2 Australia/Europe/North America

1

1650

Hazard Ratio (Random, 95% CI)

3.80 [2.30, 6.28]

4.3 American Indians/Islands

1

951

Hazard Ratio (Random, 95% CI)

4.06 [3.05, 5.40]

5 T2DM incidence (HbA1c5.7) Show forest plot

4

25047

Hazard Ratio (Random, 95% CI)

5.55 [2.77, 11.12]

5.1 Asia

3

16805

Hazard Ratio (Random, 95% CI)

7.21 [5.14, 10.11]

5.2 Australia/Europe/North America

1

8242

Hazard Ratio (Random, 95% CI)

2.71 [2.48, 2.96]

6 T2DM incidence (HbA1c6.0) Show forest plot

6

30699

Hazard Ratio (Random, 95% CI)

10.10 [3.59, 28.43]

6.1 Asia/Middle East

4

22734

Hazard Ratio (Random, 95% CI)

13.12 [4.10, 41.96]

6.2 Australia/Europe/North America

2

7965

Hazard Ratio (Random, 95% CI)

5.09 [1.69, 15.37]

7 T2DM incidence (HbA1c + IFG) Show forest plot

1

Hazard Ratio (Fixed, 95% CI)

Subtotals only

7.1 HbA1c5.7 + IFG5.6

1

4559

Hazard Ratio (Fixed, 95% CI)

32.50 [23.00, 45.92]

7.2 HbA1c5.7 + IFG6.1

1

5357

Hazard Ratio (Fixed, 95% CI)

37.90 [28.10, 51.12]

7.3 HbA1c6.0 + IFG5.6

1

4628

Hazard Ratio (Fixed, 95% CI)

53.70 [38.40, 75.09]

7.4 HbA1c6.0 + IFG6.1

1

5802

Hazard Ratio (Fixed, 95% CI)

52.30 [37.80, 72.37]

Figuras y tablas -
Comparison 1. Hazard ratio as the effect measure for the development of T2DM
Comparison 2. Odds ratio as the effect measure for the development of T2DM

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 T2DM incidence (IFG5.6) Show forest plot

21

47647

Odds Ratio (Random, 95% CI)

4.15 [2.75, 6.28]

1.1 Asia/Middle East

10

34577

Odds Ratio (Random, 95% CI)

2.94 [1.77, 4.86]

1.2 Australia/Europe/North America

9

9869

Odds Ratio (Random, 95% CI)

6.47 [3.81, 11.00]

1.3 Latin America

1

1659

Odds Ratio (Random, 95% CI)

4.28 [3.21, 5.71]

1.4 American Indians/Islands

1

1542

Odds Ratio (Random, 95% CI)

3.12 [2.31, 4.21]

2 T2DM incidence (IFG6.1) Show forest plot

15

36866

Odds Ratio (Random, 95% CI)

6.60 [4.18, 10.43]

2.1 Asia/Middle East

7

28921

Odds Ratio (Random, 95% CI)

5.18 [2.32, 11.53]

2.2 Australia/Europe/North America

7

6334

Odds Ratio (Random, 95% CI)

8.69 [4.95, 15.24]

2.3 Latin America

1

1611

Odds Ratio (Random, 95% CI)

3.73 [2.18, 6.38]

3 T2DM incidence (IGT) Show forest plot

20

21552

Odds Ratio (Random, 95% CI)

4.61 [3.76, 5.64]

3.1 Asia/Middle East

6

8643

Odds Ratio (Random, 95% CI)

3.74 [2.83, 4.94]

3.2 Australia/Europe/North America

11

9165

Odds Ratio (Random, 95% CI)

5.20 [3.62, 7.45]

3.3 Latin America

2

3478

Odds Ratio (Random, 95% CI)

4.94 [3.15, 7.76]

3.4 American Indians/Islands

1

266

Odds Ratio (Random, 95% CI)

3.60 [1.40, 9.26]

4 T2DM incidence (IFG + IGT) Show forest plot

9

9656

Odds Ratio (Random, 95% CI)

13.14 [7.41, 23.30]

4.1 Asia/Middle East

3

4202

Odds Ratio (Random, 95% CI)

6.99 [3.09, 15.83]

4.2 Australia/Europe/North America

6

5454

Odds Ratio (Random, 95% CI)

20.95 [12.40, 35.40]

5 T2DM incidence (HbA1c5.7) Show forest plot

3

3468

Odds Ratio (Random, 95% CI)

4.43 [2.20, 8.88]

5.1 Asia/Middle East

1

1137

Odds Ratio (Random, 95% CI)

4.54 [2.65, 7.78]

5.2 Europe/North America

2

2331

Odds Ratio (Random, 95% CI)

4.38 [1.36, 14.15]

6 T2DM incidence (HbA1c6.0) Show forest plot

3

18317

Odds Ratio (Random, 95% CI)

12.79 [4.56, 35.85]

6.1 Asia/Middle East

1

11866

Odds Ratio (Random, 95% CI)

23.20 [18.70, 28.78]

6.2 Australia/Europe/North America

1

5735

Odds Ratio (Random, 95% CI)

15.60 [6.90, 35.27]

6.3 American Indians/Islands

1

716

Odds Ratio (Random, 95% CI)

5.89 [4.23, 8.20]

7 T2DM incidence (HbA1c5.7 + IFG5.6) Show forest plot

2

14006

Odds Ratio (Random, 95% CI)

35.91 [20.43, 63.12]

7.1 Australia/Europe/North America

1

1294

Odds Ratio (Random, 95% CI)

26.20 [16.30, 42.11]

7.2 Asia/Middle East

1

12712

Odds Ratio (Random, 95% CI)

46.70 [33.60, 64.91]

Figuras y tablas -
Comparison 2. Odds ratio as the effect measure for the development of T2DM