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Tau en LCR y cociente de tau/ABeta en LCR para el diagnóstico de la demencia de la enfermedad de Alzheimer y otras demencias en los pacientes con deterioro cognitivo leve (DCL)

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Referencias

References to studies included in this review

Amlien 2013 {published and unpublished data}

Amlien IK, Fjeli AM, Walhovd KB, Selnes P, Stenset V, Grambaite R, at al. Mild cognitive impairment: cerebrospinal fluid tau biomarker pathologic levels and longitudinal changes in white matter integrity. Radiology 2013;266:295‐303. CENTRAL

Buchhave 2012 {published data only}

Buchhave P, Minthon L, Zetterberg H, Wallin AK, Blennow K, Hansson O. Cerebrospinal fluid levels of beta‐amyloid 1‐42, but not of tau, are fully changed already 5 to 10 years before the onset of Alzheimer dementia. Archives of General Psychiatry 2012;69(1):98‐106. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL

Eckerstrom 2010 {published data only}

Eckerström C, Andreasson U, Olsson E, Rolstad S, Blennow K, Zetterberg H, et al. Combination of hippocampal volume and cerebrospinal fluid biomarkers Improves predictive value in mild cognitive impairment. Dementia and Geriatric Cognitive Disorders 2010;29:294‐300. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL
Wallin A, Göthlin M, Gustavsson M, Zetterberg H. Eckerström C, Blennow K, et al. Progression from mild to pronounced MCI Is not associated with cerebrospinal fluid biomarker deviations. Dementia and Geriatric Cognitive Disorders 2011;32:193‐7. CENTRAL

Fellgiebel 2007 {published data only}

Fellgiebel A, Scheurich A, Bartenstein P, Müller MJ. FDG‐PET and CSF phospho‐tau for prediction of cognitive decline in mild cognitive impairment. Psychiatry Research: Neuroimaging 2007;155:167‐71. CENTRAL

Galluzzi 2010 {published and unpublished data}

Galluzzi S, Geroldi C, Ghidoni R, Paghera B, Amicucci G, Bonetti M, et al. The new Alzheimer's criteria in a naturalistic series of patients with mild cognitive impairment. Journal of Neurology 2010;257(12):2004‐14. CENTRAL

Hampel 2004 {published data only}

Hampel H, Teipel SJ, Fuchsberger T, Andreasen N, Wiltfang J, Otto M, at al. Value of CSF ß‐amyloid1‐42 and tau as predictors of Alzheimer's disease in patients with mild cognitive impairment. Molecular Psychiatry 2004;9:705‐10. CENTRAL

Hansson 2006 {published and unpublished data}

Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L. Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow‐up study. Lancet Neurology 2006;5:228‐34. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL

Herukka 2007 {published data only}

Herukka SK, Hallikainen M, Soininen H, Pirttila T. CSF Ab42 and tau or phosphorylated tau and prediction of progressive mild cognitive impairment. Neurology 2005;64:1294‐7. CENTRAL
Herukka SK, Hallikainen M, Tervo S, Helisalmi S, Tapiola T, Soininen T, et al. Cerebrospinal fluid Aβ42, tau and phosphorylated tau predict progression in patients with cognitive impairment. Research and Practice in Alzheimer's disease 2006;11:245‐50. CENTRAL
Herukka SK, Helisalmi S, Hallikainen M, Tervo S, Soininen H, Pirttila T. CSF Aß42, tau and phosphorylated tau, APOE ϵ4 allele and MCI type in progressive MCI. Neurobiology of Aging 2007;28:507‐14. CENTRAL
Herukka SK, Pennanen C, Soininen H, Pirttila T. CSF Aβ42, tau and phosphorylated tau correlate with medial temporal lobe atrophy. Journal of Alzheimer's Disease 2008;14:51‐7. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL
Seppala TT, Koivisto AM, Hartikainen P, Helisalmi S, Soininen H, Herukka SK. Longitudinal changes of CSF biomarkers in Alzheimer’s disease. Journal of Alzheimer's Disease 2011;25:583‐94. CENTRAL

Kester 2011 {published data only}

Kester MI, Verwey NA, Van Elk EJ, Blankenstein MA, Scheltens P, Van der Flier WM. Progression from MCI to AD: predictive value of CSF Aβ42 is modified by APOE genotype. Neurobiology of Aging 2011;32(8):1372‐8. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL

Koivunen 2008 {published data only}

Koivunen J, Pirttilä T, Kemppainen N, Aalto S, Herukka S‐K, Jauhianen AM, et al. PET amyloid ligand [11C]PIB uptake and cerebrospinal fluid β‐amyloid in mild cognitive Impairment. Dementia and Geriatric Cognitive Disorders 2008;26:378‐83. CENTRAL

Monge‐Argiles 2011 {published data only}

Monge‐Argiles JA, Munoz‐Ruiz C, Pampliega‐Perez A, Gomez‐Lopez MJ, Sanchez‐Paya J, Rodriguez‐Borja E, et al. Biomarkers of Alzheimer's disease in the cerebrospinal fluid of Spanish patients with mild cognitive impairment. Neurochemical Research 2011;36:986‐93. CENTRAL
Monge‐Argiles JA, Sanchez‐Payab J, Munoz‐Ruiz C, Pampliega‐Perez A, Gomez‐Lopez MJ, Borja ER, et al. Patients with mild cognitive impairment and a reduced CSF Aβ1‐42 protein progress rapidly to Alzheimer’s disease. Neurologia 2012;27(1):28‐33. CENTRAL

Palmqvist 2012 {published data only}

Hertzel J, Minthono L, Zetterberg H, Vanmechelend E, Blcnnowc K, Hanssonllb O. Evaluation of CSF biomarkers as predictors of Alzheimer's disease: a clinical follow‐up study of 4.7 years. Journal of Alzheimer's Disease 2010;21:1119‐28. CENTRAL
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL
Palmqvist S, Hertze J, Minthon L, Wattmo C, Zetterberg Z, Blennow K, at al. Comparison of brief cognitive tests and CSF biomarkers in predicting Alzheimer’s disease in mild cognitive impairment: six‐year follow‐up study. PLoS ONE 2012;7(6):e38639. [DOI: 10.1371/journal.pone.0038639]CENTRAL

Parnetti 2012 {published data only}

Parnetti L, Chiasserini D, Eusebi P, Giannandrea D, Bellomo G, De Carlo C, et al. Performance of Aβ1‐40, Aβ1‐42, total tau,and phosphorylated tau as predictors of dementia in a cohort of patients with mild cognitive impairment. Journal of Alzheimer's Disease 2012;29:229‐38. CENTRAL

Visser 2009 {published and unpublished data}

Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009;302(4):385‐93. CENTRAL
Visser PJ, Verhey F, Knol DL, Scheltens P, Wahlund L‐O, Freund‐Levi Y, et al. Prevalence and prognostic value of CSF markers of Alzheimer’s disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study. Lancet Neurology 2009;8:619‐27. CENTRAL

Vos 2013 {published and unpublished data}

Vos SJB, Van Rossum IA, Verhey F, Knol DL, Soininen H, Wahlund L‐O, et al. Prediction of Alzheimer disease in subjects with amnestic and nonamnestic MCI. Neurology 2013;80:1‐9. CENTRAL

References to studies excluded from this review

Desikan 2011 {published data only}

Desikan RS, McEvoy LK, Thompson WK, Holland D, Roddey JC, Blennow K, et al. Amyloid‐β associated volume loss occurs only in the presence of phospho‐tau. Annals of Neurology 2011;70:657‐61. CENTRAL

Forlenza 2010 {published data only}

Forlenza OV, Diniz BS, Talib LL, Radanovic M, Yassuda MS, Ojopi EB, et al. Clinical and biological predictors of Alzheimer’s disease inpatients with amnestic mild cognitive impairment. Revista Brasileira de Psiquiatria 2010;32(3):216‐22. CENTRAL

Holland 2012 {published data only}

Holland D, Desikan RS, Dale AM, McEvoy LK, Alzheimer’s Disease Neuroimaging Initiative. Rates of decline in Alzheimer Disease decrease with age. PLOS One 2012;7(8):e42325. [DOI: 10.1371/journal.pone.0042325]CENTRAL

Ivanoiu 2005 {published data only}

Ivanoiu A, Sindic CJ. Cerebrospinal fluid tau protein and amyloid β42 in mild cognitive impairment: prediction of progression to Alzheimer’s disease and correlation with the neuropsychological examination. Neurocase 2005;11(1):32‐9. CENTRAL

Jack 2011 {published data only}

Jack CR, Vemuri P, Wiste BA, Weigand SD, Aisen PS, Trojanowski J, et al. Evidence for ordering of Alzheimer disease biomarkers. Archives of Neurology 2011;68(12):1526‐35. CENTRAL

Jagust 2009 {published data only}

Jagust WJ, Landau SM, Shaw M, Trojanowski JQ, Koeppe RA, Reiman EM, et al. Relationships between biomarkers in aging and dementia. American Academy of Neurology 2009;73:1193‐9. CENTRAL

Lanari 2009 {published data only}

Lanari A, Parnetti L. Cerebrospinal fluid biomarkers and prediction of conversion in patients with mild cognitive Impairment: 4‐year follow‐up in a routine clinical setting. Scientific World 2009;9:961‐6. CENTRAL

Landau 2010 {published data only}

Davatzikosa C, Bhatta P, Shawb LM, Batmanghelich KN, Trojanowski JQ. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiology of Aging 2011;32:2322.e19‐2322.e27. CENTRAL
Ewers M, Schmitz S, Hansson O, Walsh C, Fitzpatrick A, Bennett D, et al. Body mass index is associated with biological CSF markers of core brain pathology of Alzheimer’s disease. Neurobiology of Aging 2012;33:1599‐608. CENTRAL
Ewers M, Walsh C, Trojanowski JQ, Shaw LM, Petersen RC, Jack Jr. CR, et al. Prediction of conversion from mild cognitive impairment to Alzheimer’s disease dementia based upon biomarkers and neuropsychological test performance. Neurobiology of Aging 2012;33:1203‐14. CENTRAL
Gomar JJ, Bobes‐Bascaran MT, Conejero‐Goldberg C, Davies P, Goldberg TE. Utility of combinations of biomarkers, cognitive markers, and risk factors to predict conversion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer’s Disease Neuroimaging Initiative. Archives of General Psychiatry 2011;68(9):961‐9. CENTRAL
Landau SM, Harvey D, Madison CM, Reiman EM, Foster NL, Aisen PS, et al. Comparing predictors of conversion and decline in mild cognitive impairment. Neurology 2010;75:230‐8. CENTRAL

Maruyama 2004 {published data only}

Maruyama M, Matsui T, Tanji H, Nemoto M, Tomita N, Ootsuki M, et al. Cerebrospinal fluid tau protein and periventricular white matter lesions in patients with mild cognitive impairment. Archives of Neurology 2004;61:716‐20. CENTRAL

Maruyama 2004b {published data only}

Maruyama M, Matsui T, Tanji H, Ootsuki M, Nemoto M, Tomita N, et al. Diagnosing the mild cognitive impairment stage of Alzheimer's disease. Psychiatria et Neurologia Japonica 2004;106(3):269‐80. CENTRAL

Mattsson 2012 {published data only}

Mattsson N, Porteliusa E, Rolstad S, Gustavsson M, Andreasson U, Stridsberg M, et al. Longitudinal cerebrospinal fluid biomarkers over four years in mild cognitive impairment. Journal of Alzheimer's Disease 2012;30:767‐78. CENTRAL

Nordlund 2010 {published data only}

Nordlund A, Rolstad S, Klang O, Edman A, Hansen S, Wallin A. Two‐year outcome of MCI subtypes and aetiologies in the Goteborg MCI study. Journal of Neurology, Neurosurgery, and Psychiatry 2010;81:541‐6. CENTRAL

Okamura 2002 {published data only}

Okamura N, Arai H, Maruyama M, Higuchi M, Matsui T, Tanji H, et al. Combined analysis of CSF tau levels and [123I]Iodoamphetamine SPECT in mild cognitive impairment: implications for a novel predictor of Alzheimer’s Disease. American Journal of Psychiatry 2002;159:474–6. CENTRAL

Okonkwo 2011 {published data only}

Okonkwo OC, Mielke MM, Griffith HR, Moghekar AR, O’Brien RJ, Shaw LM, et al. Cerebrospinal fluid profiles and prospective course and outcome in patients with amnestic mild cognitive impairment. Archives of Neurology 2011;68(1):113‐9. CENTRAL

Pereira 2010 {published data only}

Pereira FS, Yassuda MS, Olivira AM, Diniz BS, Radanovic M, Talib LL, et al. Profiles of functional deficits in mild cognitive impairment and dementia: benefits from objective measurement. International Neuropsychological Society 2010;16:297‐305. CENTRAL

Perneczky 2011 {published data only}

Perneczky R, Tsolakidou A, Arnold A, Diehl‐Schmid J, Grimmer T, Forstl H, et al. CSF soluble amyloid precursor proteins in the diagnosis of incipient Alzheimer disease. Neurology 2011;77:35‐8. CENTRAL

Riemenschneider 2002 {published data only}

Riemenschneider M, Lautenschlager N, Wagenpfeil S, Diehl J, Drzezga A, Kurz A. Cerebrospinal fluid tau and beta‐amyloid 42 proteins identify Alzheimer disease in subjects with mild cognitive impairment. Archives of Neurology 2002;59(11):1729‐34. CENTRAL

Samtani 2012 {published data only}

Samtani MN, Raghavan N, Shi Y, Novak G, Farnum M, Lobanov V, et al. Disease progression model in subjects with mild cognitive impairment from the Alzheimer’s disease neuroimaging initiative: CSF biomarkers predict population subtypes. British Journal of Clinical Pharmacology 2012;75(1):146‐61. CENTRAL

Schneider 2010 {published data only}

Schneider LS, Kennedy RE, Cutter GR, Alzheimer’s Disease Neuroimaging Initiative. Requiring an amyloid‐b1‐42 biomarker for prodromal Alzheimer’s disease or mild cognitive impairment does not lead to more efficient clinical trials. Alzheimers & Dementia 2010;6:e367‐77. CENTRAL

Shaw 2009 {published data only}

Shaw LM, Vanderstichele H, Knapik‐Czajka M, Clark CM, Aisen PS, Petersen RC, et al. Cerebrospinal fluid biomarker signature in Alzheimer’s disease neuroimaging initiative subjects. Annals of Neurology 2009;65:403‐13. CENTRAL

Sluimer 2010 {published data only}

Sluimer JD, Bouwman FH, Vrenken H, Blankenstein MA, Barkhof F, Van der Flier WM, et al. Whole‐brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study. Neurobiology of Aging 2010;31:758‐64. CENTRAL

Snider 2009 {published data only}

Snider BJ, Fagan AM, Roe C, Shah AR, Grant EA, Xiong C. Cerebrospinal fluid biomarkers and rate of cognitive decline in very mild dementia of the Alzheimer type. Archives of Neurology 2009;66(5):638‐45. CENTRAL

Van Harten 2012 {published data only}

Van Harten AC, Visser PJ, Pijnenburg YAL, Teunissen CE, Blankenstein MA, Scheltens P, et al. Cerebrospinal fluid Aß42 is the best predictor of clinical progression in patients with subjective complaints. Alzheimers & Dementia 2013;9:481‐7. CENTRAL

Verwey 2008 {published data only}

Verwey NA, Bouwman FH, Van der Flier WM, Veerhuis R, Scheltens P, Blankenstein MA. Variability in longitudinal cerebrospinal fluid tau and phosphorylated tau measurements. Clinical Chemistry and Laboratory Medicine 2008;46(9):1300‐4. CENTRAL

Walhovd 2010 {published data only}

Walhovd KB, Fjell AM, Brewer J, McEvoy LK, Fennema‐Notestine C, Hagler DJ, et al. Combining MR imaging, positron‐emissiontomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease. American Journal of Neuroradiology 2010;31(2):347‐54. CENTRAL

Wang 2012 {published data only}

Wang L, Fagan AM, Shah AR, Beg MF, Csernansky JG, Morris JC, et al. Cerebrospinal fluid proteins predict longitudinal hippocampal degeneration in early‐stage dementia of the Alzheimer type. Alzheimer Disease and Associated Disorders 2012;26:314‐21. CENTRAL

Westman 2012 {published data only}

Westman E, Muehlboeck J‐S, Simmons A. Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion. Neurolmage 2012;62:229‐38. CENTRAL

Yang 2012 {published data only}

Yang X, Tan MZ, Qiu A. CSF and brain structural imaging markers of the Alzheimer’s pathological cascade. PLOS One 2012;7(12):e47406. CENTRAL

References to studies awaiting assessment

Balasa 2014 {published data only}

Balasa M, Sanchez‐Valle R, Antonell A, Bosch B, Olives J, Rami L, et al. Usefulness of biomarkers in the diagnosis and prognosis of early‐onset cognitive impairment. Journal of Alzheimer's Disease 2014;40(4):919‐27. CENTRAL

Eckerstrom 2015 {published data only}

Eckerström C, Olsson E, Klasson N, Berge J, Nordlund A, Bjerke M, et al. Multimodal prediction of dementia with up to 10 years follow up: the Gothenburg MCI study. Journal of Alzheimer's disease 2015;44(1):205‐14. CENTRAL

Ewers 2012 {published data only}

Ewers M, Walsh C, Trojanowski JQ, Shaw LM, Petersen RC, Jack CR, et al. North American Alzheimer's Disease Neuroimaging Initiative (ADNI). Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance. Neurobiology of Aging 2012;33(7):1203‐14. CENTRAL

Leuzy 2015 {published data only}

Leuzy A, Carter SF, Chiotis K, Almkvist O, Wall A, Nordberg A. Concordance and diagnostic accuracy of [11C]PIB PET and cerebrospinal fluid biomarkers in a sample of patients with mild cognitive impairment and Alzheimer's disease. Journal of Alzheimer's Disease 2015;45(4):1077‐88. CENTRAL

Albert 2011

Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, et al. The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendation from the National Institute on Ageing and Alzheimer’s Association workgroup. Alzheimers & Dementia 2011;7(3):270‐9.

Arevalo‐Rodriguez 2015

Arevalo‐Rodriguez I, Smailagic N, Roqué i Figuls M, Ciapponi A, Sanchez‐Perez E, Giannakou A, et al. Mini‐Mental State Examination (MMSE) for the detection of Alzheimer's disease and other dementias in people with mild cognitive impairment (MCI). Cochrane Database of Systematic Reviews 2015, Issue 3. [DOI: 10.1002/14651858.CD010783.pub2]

Beckett 2010

Beckett LA, Harvey DJ, Gamst A, Donohueb M, Kornak J, Zhang H, et al. The Alzheimer’s Disease Neuroimaging Initiative: annual change in biomarkers and clinical outcomes. Alzheimers & Dementia 2010;6:257‐64.

Beynon 2013

Beynon R, Leeflang MM, McDonald S, Eisinga A, Mitchell RL, Whiting P, et al. Search strategies to identify diagnostic accuracy studies in MEDLINE and EMBASE. Cochrane Database of Systematic Reviews 2013, Issue 9. [DOI: 10.1002/14651858.MR000022.pub3]

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Ritchie 2016

Ritchie CW, Molinuevo JL, Truyen L, Saltin A, Van der Geyten S, Lovestone S, European Prevention of Alzheimer's Dementia (EPAD) Consortium. Development of interventions for the secondary prevention of Alzheimer's dementia: the European Prevention of Alzheimer's Dementia (EPAD) project. Lancet Psychiatry 2016;3(2):179‐86.. [DOI: 10.1016/S2215‐0366(15)00454‐X]

Roman 1993

Roman GC, Tatemichi TK, Erkinjuntti T, Cummings JL, Masdeu JC, Garcia JH, et al. Vascular dementia: diagnostic criteria for research studies. Report of the NINDS‐AIREN international workshop. Neurology1993; Vol. 43, issue 2:250‐60.

SAS Institute 2011 [Computer program]

SAS Institute. SAS Version 9.2. Cary, NC, USA, 2011.

Savva 2009

Savva GM, Wharton SB, Ince PG, Forster G, Matthews FE, Brayne C, et al. Age, neuropathology, and dementia. New England Journal of Medicine 2009;360(22):230‐9.

Shoji 1992

Shoji M, Golde TE, Ghiso J, Cheung TT, Estus S, Shaffer LM, et al. Production of the Alzheimer amyloid beta protein by normal proteolytic processing. Science 1992;258(5079):126‐9.

Shoji 2001

Shoji M, Kanai M. Cerebrospinal fluid Ab40 and Ab42: natural course and clinical usefulness. Journal of Alzheimer's Disease 2001;3(3):313‐21.

Shoji 2002

Shoji M, Matsubara E, Murakami T, Manabe Y, Abe K, Kanai M, et al. Cerebrospinal fluid tau in dementia disorders: a large scale multicenter study by a Japanese study group. Neurobiology of Aging2002; Vol. 23, issue 3:363‐70.

Smailagic 2015

Smailagic N, Vacante M, Hyde C, Martin S, Ukoumunne O, Sachpekidis C. 18F‐FDG PET for the early diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI). Cochrane Database of Systematic Reviews 2015, Issue 1. [DOI: 10.1002/14651858.CD010632.pub2]

Urakami 2004

Urakami K, Saito K, Seishima M, Nakashima K. Apolipoprotein A‐I and E in cerebrospinal fluid. Nihon Rinsho. Japanese Journal of Clinical Medicine 2004;62 Suppl 11:176‐8.

Visser 2006

Visser PJ, Kester A, Jolles J, Verhey F. Ten‐year risk of dementia in subjects with mild cognitive impairment. Neurology 2006;67:1201‐07.

Whiting 2011

Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS‐2: a revised tool for the quality assessment of diagnostic accuracy studies. Annals of Internal Medicine 2011;155:529‐36.

Wilmo 2010

Wilmo A, Prince M. World Alzheimer Report 2010: The global economic impact of dementia. www.alz.co.uk/research/files/WorldAlzheimerReport2010.pdf (accessed prior to 17 Feb 2017).

Winbald 2004

Winblad B, Palmer K, Kivipelto M, Jelic V, Fratiglioni L, Wahlund LO, et al. Mild cognitive impairment ‐ beyond controversies, towards a consensus: report of the international working group on mild cognitive impairment. Journal of Internal Medicine 2004;256:240‐6.

World Health Organization 2010

World Health Organization. International statistical classification of diseases and related health problems (ICD‐10 Version: 2010). apps.who.int/classifications/icd10/browse/2010/en (accessed 9 January 2013):1‐195.

Zhang 2014

Zhang S, Smailagic N, Hyde C, Noel‐Storr AH, Takwoingi Y, McShane R, at al. 11C‐PIB‐PET for the early diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI). Cochrane Database of Systematic Reviews 2014, Issue 7. [DOI: 10.1002/14651858.CD010386]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Amlien 2013

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

Prospective MCI group of 49 participants with MCI, who attended a university‐based memory clinic, was recruited consecutively between 2005 and 2009. Twenty‐three control subjects were also recruited. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: psychiatric disorder, anoxic brain damage, cancer, drug abuse, or cognitive symptoms related to solvent exposure.

Patient characteristics and setting

39 MCI participants diagnosed by the Petersen 1991 criteria were included in the analysis. Ten MCI participants did not have a follow‐up assessment.

GENDER: 20 men; 19 women

AGE (y): MCI with abnormal CSF t‐tau level: 64 (range 45 to 76); MC with normal CSF t‐tau level: 58.5 (45 to 77)

APOE ϵ4 carrier (%): not reported

MMSE: MCI with abnormal CSF t‐tau level: 27.2 (range 25 to 29); MC with normal CSF t‐tau level: 27.9 (23 to 30)

Education (y): MCI with abnormal CSF t‐tau level: 12.2 (range 7 to 18); MC with normal CSF t‐tau level: 11.8 (8 to 16)

Sources of referral: not reported

Sources of recruitment: a university‐based memory clinic, Oslo, Norway.

Index tests

CSF t‐tau

Participants underwent lumbar puncture as part of the clinical evaluation. The CSF samples were examined for total tau levels with commercially available kits (Innogenetics, Ghent, Belgium).

Threshold: This was prespecified. The age‐dependent criteria for pathologic values were based on a large sample of healthy control subjects and were as follows: total tau of 300 ng/L or higher for age younger than 50 years, total tau of 450 ng/L or higher for age 50 to 69 years, and total tau of 500 ng/L or higher for age older than 70 years (Sjogren 2001). The 0.90 fractile was estimated to establish reference values for CSF t‐tau.

Not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer's disease dementia

Reference standard: The Global Deterioration Scale (Reisberg 1982) in combination with the research criteria for the diagnosis of Alzheimer's disease, International Working group (Dubois 2007)

Not reported whether clinicians conducting follow‐up were aware of CSF t‐tau results.

Flow and timing

Duration of follow‐up: mean 2.6 ± 0.54 years

At baseline: 49 MCI participants had CSF sample

At follow‐up: 39 participants: 9 MCI with abnormal baseline CF t‐tau: 5 MCI converters and 4 MCI nonconverters; 30 MCI with normal baseline CSF t‐tau: 4 MCI converters and 26 MCI nonconverters (information from the author)

Number included in analysis (N=39)

Conversion to ADD:

TP = 5; FP = 4; FN = 4; TN = 26

sensitivity = 55%; specificity = 87% (calculated in Revman5)

Loss to follow‐up

N = 17 participants (10 MCI and 7 controls) did not have a follow‐up assessment. Between baseline and follow‐up, four participants with MCI objected to re‐examination, one died of unrelated causes, and five were excluded because of definite other diagnoses. Seven control subjects objected to re‐examination. All 39 MCI participants with the follow‐up assessment were included in the analysis (page 297).

Comparative

Notes

The trial investigators contacted; they provided relevant data for creating 2 X 2 table (email on 13/12/13).

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

Yes

Unclear

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

Unclear

Buchhave 2012

Study characteristics

Patient sampling

Study design: prospective cohort study

The inclusion of 137 participants was described in the paper by Hansson 2006, as below:

180 participants with MCI, who had sought medical advice for subjective memory difficulties, were consecutively recruited at a university hospital between July 1998 and June. Thirty‐six healthy controls were also included, but appeared to have been used for comparison purposes only and not included in the ROC analysis. CSF was obtained at baseline from 137 MCI participants. Of the 43 participants with MCI who did not undergo successful lumbar puncture at baseline, 32 preferred not to go through the procedure and in 11 the procedure did not deliver usable CSF.

Participants with other causes of cognitive impairment, including brain tumour, subdural haematoma, CNS infection, and current alcohol abuse, were excluded.

Buchhave 2012 and Hansson 2006 studies used the same cohort.

Patient characteristics and setting

137 participants diagnosed by the Petersen 1991 criteria. Baseline demographic data reported for 134 participants.

GENDER: 60 men; 74 women

AGE (y): MCI‐MCI (stable) 61.9 ± 8.5; MCI‐AD 73.9 ± 5.8; MCI‐other dementia 71.1 ± 9.1

APOE ϵ4 carrier (%): MCI‐MCI (stable) 19 (46); MCI‐AD 53 (74); MCI‐other dementia 5 (24)

MMSE: MCI‐MCI 27.5 ± 2.0; MCI‐AD 26.9 ± 1.4; MCI‐other dementia 26.8.0 ± 1.2

Education: not reported

Sources of referral: not reported

Sources of recruitment: secondary care, outpatients of memory disorder clinic, University hospital, Malmo, Sweden

Index tests

CSF p‐tau/ABeta ratio

Cerebrospinal fluid was collected in polypropylene tubes, stored at ‐80 °C, and analysed after clinical follow‐up of the study was completed. No further details.

Threshold: determined at follow‐up (page 102); a mixture model was used to establish accurate cutoff value: used to identify optimal cut‐offs: < 6.16

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standards: NINCDS‐ADRDA and DSM‐III‐R for Alzheimer's disease dementia; DSM‐III‐R for vascular dementia; McKeith for Lewy bodies dementia and Brun for frontotemporal dementia.

Clinicians conducting follow‐up were blinded to CSF biomarker results.

Flow and timing

Duration of follow‐up: median 9.2 years (range: 4.1 years to 11.8 years)

At baseline: 137 MCI participants

At follow‐up:134 MCI: 72 MCI‐AD; 21 MCI‐other dementias; 41 MCI‐MCI (stable); (page 99)

Number included in analysis: 134

Conversion to Alzheimer's disease dementia:

sensitivity 88%; specificity 90% (page 102)

TP = 63; FP = 6; FN = 9; TN = 56 (calculated in RevMan5)

Loss to follow‐up: 3 participants died before completion of 4 years follow‐up and were excluded from the analyses because their cognitive ability was uncertain.

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Eckerstrom 2010

Study characteristics

Patient sampling

Study design: retrospective analysis of the longitudinal data

Retrospective recruitment of 42 participants with MCI from the Gothenborg study: 21 MCI converters and 21 MCI‐stable participants. The group of MCI converters comprised all MCI converters who underwent a baseline MRI investigation. The MCI‐stable participants were included consecutively to achieve matching group size. No further details.

Twenty‐six controls were also recruited. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: not reported.

Patient characteristics and setting

42 participants, diagnosed with the Global Deterioration Scale (GDS) criteria (Reisberg 1998) at baseline. GDS criteria were not prespecified diagnostic criteria for MCI.

Gender: 18 male; 24 female

Age: total sample: mean age 67.9 (range 51 to 78) years; MCI‐MCI: 66.6 (range 56 to 78) years; MCI‐progressive: 69.3 (range 51 to 78) years

APOEɛ4: not reported

MMSE: mean 27.8 (range 22 to 30); MCI‐MCI: 28.3 (range 24 to 30); MCI‐progressive: 27.2 (range 22 to 30)

Education: total sample: mean age 11.4 (range 6 to 19) years; MCI‐MCI: 12.5 (range 8 to 19) years; MCI‐progressive: 10.4 (range 6 to 17.5) years

Sources of referral: not reported

Sources of recruitment: University of Gothenburg, Molndal, Sweden

Index tests

CSF t‐tau

CSF samples were collected by lumbar puncture (LP). Both baseline and follow‐up lumbar punctures were performed in the morning to exclude influences on the results from possible diurnal fluctuations in biomarker levels. The samples
were collected in polypropylene tubes that were stored at –80 °C, without being thawed and refrozen, pending biochemical analyses. All CSF analyses for a participant were performed on the same occasion. CSF levels were determined using a sandwich enzyme‐linked immunosorbent assay constructed to measure tau.

Threshold: 500 ng/L, not prespecified. ROC curves were used to calculate the cutoff values based on the maximum for the sum of sensitivity and specificity.

It was not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: conversion from MCI to ADD or FTD or subcortical VD or mixed AD/VD.

Reference standard: NINCDS‐ADRDA criteria; Lund and Manchester criteria; Erkinjunitti criteria.

In addition, Global Deterioration Scale (GDS) criteria (Reisberg 1998): score = 4 were used.

It was not reported whether the results of the reference standard were interpreted without knowledge of the results of the index test.

Flow and timing

Duration of follow‐up: 2 years

At baseline: 42 MCI participants

At follow‐up: 21 MCI converters (13 MCI‐AD; 4 MCI‐VD; 2 MCI‐FTD; 2 MCI‐AD/VD); 21 MCI‐ stable (MCI‐MCI) (page 296)

21 MCI converters and 21 MCI non‐converters were selected from the Gothenborg study for the retrospective analysis.

Number included in analysis: 42

Conversion to all types of dementia:

sensitivity 67%; specificity 95% (Table 3, page 298)

TP = 14; FP = 1; FN = 7; TN = 20 (Fig 1, page 297)

Insufficient data to create 2 X 2 table for conversion from MCI to ADD.

Loss to follow‐up: all retrospectively selected participants were included in the analysis

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

High

Unclear

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Unclear

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Unclear

Unclear

Fellgiebel 2007

Study characteristics

Patient sampling

Study design: prospective cohort study

Prospective recruitment of 16 participants with amnestic mild cognitive impairment, presenting at a memory clinic for diagnostic evaluation. Sampling procedure not described.

Exclusion criteria: participants with metabolic disease that could affect cognitive function; participants with other brain diseases; participants with a diagnosis of depression according to DSM‐IV criteria.

Patient characteristics and setting

16 participants, diagnosed with the Petersen 1999 criteria at baseline. One participant of the initial study group refused further participation and was replaced by a consecutively recruited comparable participant of the memory clinic to preserve the statistical power for prospectively planned follow‐up analyses.

Gender: 9 male; 7 female

Age: total sample: mean age 68.6 ± 7.9 years; MCI‐MCI: 68.8 ± 10.0 years; MCI‐progressive: 68.5 ± 5.9 years (4/8 MCI‐AD: 69.5 ± 7.9 years)

APOEɛ4: not reported

MMSE: mean 25.7 ± 2.7; MCI‐MCI: 27.3 ± 1.8; MCI‐progressive: 25.0 ± 2.1 (4/8 MCI‐AD: 24.3 ± 1.5)

Education: not reported

Sources of referral: not reported

Sources of recruitment: University Memory Clinic, Germany

Index tests

CSF p‐tau

Method of the index test administration described previously (Fellgiebel 2004). CSF was analysed with two sandwich enzyme‐linked immunosorbent assays: Tau protein phosphorylated at threonine 181 (p‐tau181) was determined using the Innogenetics INNOTEST Phospho‐Tau(181) kit and total tau protein (t‐tau) was examined with the INNOTEST‐hTau‐Ag kit.

Threshold: Besides the previous published p‐tau181 cutoff (Fellgiebel 2004), the cutoff value of 50 pg/mL was chosen as an optimal cutoff by means of Receiver Operating Characteristic (ROC) analyses to separate participants with MCI from controls (measures in 75 participants, unpublished data).

Not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer's disease dementia.

Reference standard: progression to Alzheimer's disease dementia was assumed if CDR reached 1

Follow‐up evaluation at variable time points (not specified), comprising neurological and psychiatric examination, CDR and MMSE.

Progressive cognitive decline was defined as MMSE score reduction >/= 2 and a clinical judgement of cognitive deterioration.

Clinicians conducting follow‐up were blinded to the CSF p‐tau results.

Flow and timing

Duration of follow‐up: total sample: 19.6 ± 9.0 months; MCI‐MCI: 19.5 ± 9.3 months; MCI‐progressive: 17.6 ± 8.8 months (4/8 MCI‐AD: 23.7 ± 2.0 months).

At baseline: 16 MCI: 12 CSF p‐tau positive; 4 CSF p‐tau negative.

At follow‐up: 16 MCI: 12 CSF positive: 4 MCI‐AD (converters), 8 MCI‐MCI (non‐converters), 4 MCI‐progressive (non‐converters); 4 CSF p‐tau negative: 4 MCI‐MCI (stable non‐converters) (page 170)

Number included in analysis: 16

Conversion to AD:

TP = 4; FP = 8; FN = 0; TN = 4

sensitivity: 100%; specificity: 33% (calculated in RevMan5)

Loss to follow‐up:1/16; however, that participant was replaced by an additional, consecutively recruited patient from the memory clinic

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Unclear

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

No

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Unclear

Galluzzi 2010

Study characteristics

Patient sampling

Study design: retrospective analysis of the longitudinal data.

Retrospective MCI group of 108 participants was recruited consecutively in a previous prospective study from the university memory clinic over 24 months.

Participants were excluded if they had a history or presence of neurological signs of major stroke

Patient characteristics and setting

90 participants, who had been diagnosed by the Petersen 1999 criteria at baseline and had follow‐up assessment, were included in the study. The remaining 18 participants were not included in the study because they lacked follow‐up assessment due to refusal (n = 16) or logistic problems (n = 2). CSF was obtained only from 64 participants. Demographic data were reported on 90 participants.

Gender: 37 men; 53 women

Age: mean 72.05 years; MCI‐MCI: 70.09 ± 7.1; MCI‐AD: 72.2 ± 7.1; MCI‐nAD: 25.5 ± 1.9

APOE ϵ4 carrier: 35; MCI‐MCI: 19; MCI‐AD: 14; MCI‐nAD: 2

MMSE: MCI‐MCI: 26.3 ± 1.9; MCI‐AD: 26.4 ± 1.6; MCI‐other dementia: 73.0 ± 7.1

Sources of recruitment: secondary care, outpatients from Translational Outpatient Memory Clinic (TOMC), Brescia, Italy

Index tests

CSF t‐tau

CSF was obtained by lumbar tap between L4 and L5 or L3 and L4 and processed, as detailed elsewhere (Frisoni 2009). Levels of CSF proteins were determined by commercially available enzyme‐linked immunosorbent assay (Innogenetics, Belgium).

Threshold: > 450 pg/mL for subjects with an age range between 51 and 70 years determined; > 500 pg/mL for subjects with an age range between 71 and 93 years; threshold determined at baseline and based on published criteria (page 2006).

Not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standard: NINCDS‐ADRDA criteria

Unclear whether clinicians conducting follow‐up were aware of initial CSF analysis results.

Flow and timing

Duration of follow‐up: 24.0 ± 9.7 months

At follow‐up: 39/90 participants converted to dementia (Abstract)

Number included in analyses: 64

24 MCI with 'abnormal CSF t‐tau level': 19 MCI converters and 5 MCI‐MCI; 40 MCI with 'normal CSF t‐tau level': 15 MCI converters and 25 MCI‐MCI (from Dr Galluzzi's email)

Conversion to all forms of dementia:

TP = 19; FP = 5; FN = 15; TN = 25

sensitivity = 56%; specificity = 83%

Loss to follow‐up: 26 (24 participants refused the LP procedure; 2 LPs were not performed due to osteoarthrosis).

Comparative

Notes

The trial investigators were contacted; they provided data tor the 2 X 2 table to be completed for conversion to all forms of dementia. Normative data for CSF p‐tau and CSF t‐tau/ABeta ratio were not available (email from Dr Galluzi on 9/12/13).

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

Yes

Unclear

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

High

Hampel 2004

Study characteristics

Patient sampling

Study design: retrospective analysis of the longitudinal data.

The MCI group was not a consecutive sample. Retrospective recruitment of 52 participants with MCI: 29 MCI converters and 23 MCI‐stable participants. In addition, 93 participants with probable AD and 10 healthy, age‐matched controls were recruited from a hospital rehabilitation department. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.The MCI group was not a consecutive sample and was selected at follow‐up.

No exclusion criteria were specified.

Patient characteristics and setting

52 MCI participants diagnosed by the Petersen 1991 criteria at baseline.

Gender: 24 men; 28 women

Age: mean age 72.6 years (range 54 to 87)

APOE ϵ4 carrier: not reported

MMSE (all MCI): 28.9 ± 1 (range 26 to 30)

Sources of referral: not reported

Sources of recruitment: secondary care, inpatients from Department of Rehabilitation, Pitea, Sweden

Index tests

CSF t‐tau biomarker

CSF samples were taken by lumbar puncture, collected in polypropylene tubes, and stored at ‐80 ºC. T‐tau was measured in duplicate using a commercial ELISA (Innotest beta‐amyloid 1‐42, Innogenetics, Belgium).

Threshold(s): ≥ 479 ng/L, established in the MCI‐MCI vs MCI‐AD at follow‐up (page 707)

At follow‐up: 14 with 'normal CSF t‐tau level' and 38 with 'abnormal CSF t‐tau level' (calculated in RevMan5).

Unclear whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia

Reference standard: NINCDS‐ADRDA criteria; DSM‐IV criteria. All MCI participants were assessed with both reference standards.

Unclear whether clinicians conducting follow‐up a were aware of initial CSF analysis results.

Flow and timing

Duration of follow‐up: mean 8.4 ± 5.1 months (range 2 to 24 months); follow‐up interval for converters was 9.6 ± 5.4, and for non‐converters 7.0 ± 4.3 months

At follow‐up: 52 MCI: 29 MCI‐AD; 23 MCI‐MCI (page 94)

Number included in analysis (N=52)

Conversion to Alzheimer's disease dementia:

sensitivity 90%; specificity 48% (page 707); disease positive: 29; disease negative: 23

TP = 26; FP = 12; FN = 3; TN = 11 (calculated in RevMan5)

Loss to follow‐up: data for all 52 MCI participants were reported

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

No

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

High

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

No

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Unclear

Hansson 2006

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design.

Prospective cohort of 180 participants with MCI, who had sought medical advice for subjective memory difficulties, was consecutively recruited at a university hospital between July 1998 and June 2001. 39 healthy controls were also included, but appeared to have been used for comparison purposes only and not included in the ROC analysis.

Patients with other causes of cognitive impairment, including brain tumour, subdural haematoma, CNS infection, and current alcohol abuse, were excluded.

Patient characteristics and setting

137 MCI participants, diagnosed by the Petersen 1999 and Petersen 2004 criteria, underwent successful lumbar puncture. Baseline demographic data reported for 134 participants. Of the 43 participants with MCI who did not undergo successful lumbar puncture at baseline, 32 preferred not to go through the procedure and in 11 the procedure did not deliver usable CSF.

GENDER: 60 men; 73 women

AGE (median (range)): MCI‐MCI (stable): 67 (50 to 86) years; MCI‐AD 75 (59 to 85) years; MCI‐other dementia 76 (54 to 82) years

APOE ϵ4 carrier: MCI‐MCI (stable): 28 (50%); MCI‐AD 43 (75%); MCI‐other dementia 6 (29%)

MMSE: mean ± SD: MCI‐MCI (stable) 27.3 ± 1.8; MCI‐AD 26.8 ± 1.4; MCI‐other dementia 27.0 ± 1.5

Education (higher): MCI‐MCI (stable): 26 (46%); MCI‐AD 18 (32%); MCI‐other dementia 10 (48%)

Sources of referral: most participants (75%) by family practitioners

Sources of recruitment: secondary care, outpatients from memory disorder clinic, University hospital, Malmo, Sweden

Index tests

CSF t‐tau; CSF p‐tau; CSF p‐tau/ABeta ratio

CSF samples were obtained and stored in polypropylene tubes at –80ºC, and analysed after the clinical follow‐up of the study was completed.

T‐tau, tau phosphorylated at threonine 181 (P‐tau181), and ABeta42 concentrations were measured with xMAP technology and the INNOBIA AkzBio3 kit (innogenetics), as previously described in detail (Olssson 2005). The CSF concentrations of t‐tau, p‐tau181, and ABeta42 were highly correlated to the concentrations obtained with conventional ELISA measurements. The best cutting values for the different combinations of the CSF biomarkers were established in the whole control and MCI patient material as those giving the highest Youden index (Youden 1950).

Threshold: > 350 pg/mL for CSF t‐tau; ≥ 60 pg/mL for CSF p‐tau; < 6.5 pg/mL for CSF p‐tau/ABeta

It was not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standards: NINCDS‐ADRDA and DSM‐III‐R for Alzheimer's disease dementia; NINDS‐AIREN and DSM‐III‐R for vascular dementia; McKeith for Lewy bodies dementia and Brun for frontotemporal dementia.

Clinicians making the diagnosis during follow‐up were unaware of all CSF analyses.

Flow and timing

Duration of follow‐up: total sample: median 5.2 years (range 4.0 to 6.8); MCI‐AD: median: 4.3 years (range 1.1 to 6.7); MCI‐other dementias: median 4.2 (1.5 to 6.3)

CSF t‐tau

At baseline: 137 MCI participants with CSF sample

At follow‐up: 134:

38 MCI with baseline positive CSF t‐tau: 29 MCI‐AD; 4 MCI‐other dementias; 5 MCI‐MCI;

96 MCI with baseline negative CSF t‐tau: 28 MCI‐AD; 17 MCI‐other dementias; 51 MCI‐MCI

Number included in analysis: 134

1) Conversion to AD: TP = 29; FP = 9; FN = 28; TN = 68; sensitivity = 51%; specificity = 88% (calculated in Revman5)

2) Conversion to all dementias: TP = 33; FP = 5; FN = 45; TN = 51; sensitivity = 42%; specificity = 91% (calculated in Revman5)

CSF p‐tau

At baseline: 137 MCI participants with CSF sample

At follow‐up: 134:

50 CSF p‐tau positive: 39 MCI‐AD; 2 MCI‐other dementias; 9 MCI‐MCI;

84 CSF p‐tau negative: 18 MCI‐AD; 19 MCI‐other dementias; 47 MCI‐MCI

Number included in analysis: 134

1) Conversion to AD: TP = 39; FP = 11; FN = 18; TN = 66; sensitivity = 68%; specificity = 86% (calculated in Revman5)

2) Conversion to all dementias: TP = 41; FP = 9; FN = 37; TN = 47; sensitivity = 52%; specificity = 84% (calculated in Revman5)

CSF p‐tau/Aß ratio

At baseline: 137 MCI participants with CSF sample

At follow‐up: 134:

74 CSF p‐tau/ABeta positive: 55 MCI‐AD; 4 MCI‐other dementias; 15 MCI‐MCI;

60 CSF p‐tau/ABeta negative: 2 MCI‐AD; 17 MCI‐other dementias; 41 MCI‐MCI

Number included in analysis: 134

1) Conversion to AD: TP = 55; FP = 19; FN = 2; TN = 58; sensitivity = 96%; specificity = 75% (calculated in Revman5)

2) Conversion to all dementias: TP = 59; FP = 15; FN = 19; TN = 41; sensitivity = 76%; specificity = 73% (calculated in Revman5)

Loss to follow‐up: initially identified 180 consecutive participants with MCI; 43/180 not included in the study: 32 refused lumbar puncture and 11 non‐usable CSF samples; 3 participants died before 4 years of follow‐up (not included in the analysis)

Comparative

Notes

The trial investigators contacted; they provided relevant data for creating 2 X 2 table items (email on 29/11/13).

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

High

Herukka 2007

Study characteristics

Patient sampling

Study design: nested case‐control study with delay verification design.

Participants examined in a university hospital neurological department, or from an ongoing population‐based study were prospectively recruited if they agreed to a lumbar puncture for research purposes and had a baseline diagnosis of MCI; 79 participants met these criteria. 60 controls (who were referred to the neurological department for different symptoms, or who were included in the population‐based study and had depression with normal performance in neuropsychological tests) were also included. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

No exclusion criteria were specified.

Patient characteristics and setting

79 MCI participants diagnosed by the CDR = 0.5 criteria at baseline.

Gender: 33 men; 46 women

Age: 70.56 years; MCI‐MCI: 69.46֨ ± 8.14; MCI‐progressive: 71.76 ± 6.71

APOE ϵ4 carrier: 41; MCI‐MCI: 15/45 (33.3%); MCI‐progressive: 26/33 (78.8%)

MMSE: MCI‐MCI: 24.09 ± 2.49; MCI‐progressive: 23.91 ± 2.69

Sources of recruitment: secondary care, inpatients from neurological department, Kuopio University Hospital, Finland

Index tests

CSF t‐tau; CSF p‐tau

The CSF samples were collected by LP during the baseline visit. The samples were stored in polypropylene tubes at ‐70 °C until analysis. The measurement of CSF t‐tau and CSF P‐tau were done by using a commercial ELISA (Innogenetics, Belgium), blinded to the diagnoses.

Threshold: > 400 pg/mL for CSF t‐tau; > 70 pg/L for CSF P‐tau; thresholds determined at baseline using previously published cutoff values from the ROC analysis (Herruka 2005)

Index test was conducted at baseline and interpreted blinded to the diagnoses of APOE genotype.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standard: NINCDS‐ADRDA for Alzheimer's disease dementia; DSM‐IV‐R criteria for other dementias

Diagnosis of dementia was done independently and blinded to CSF biomarker results.

Flow and timing

Duration of follow‐up: mean 3.52 ± 1.95 years in MCI converters; mean 4.56 ± 3.09 years in MCI‐stable

At follow‐up:79 MCI: 33 MCI converters (27 MCI‐AD; 1 MCI‐SVD; 5 MCI‐MD); 46 MCI‐MCI (page 509)

Number included in analyses = 79

Conversion from MCI to all dementias (Fig 1, page 510):

1) CSF t‐tau: TP = 26, FP = 17, FN = 7, TN = 29; sensitivity = 79%; specificity = 63% (calculated in Revman5)

2) CSF P‐tau:TP = 25, FP = 16, FN = 8, TN = 30; sensitivity = 76%; specificity = 65% (calculated in Revman5)

Loss to follow‐up: CSF marker and follow‐up data appeared to have been available for all participants.

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

No

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

High

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Kester 2011

Study characteristics

Patient sampling

Study design: retrospective analysis of the longitudinal data

153 participants with available CSF results and APOE ϵ4 genotyping were diagnosed with MCI in the memory clinic in the period between January 2001 and May 2008. 107 of those 153 participants had follow‐up data available and were retrospectively recruited.

No exclusion criteria were reported.

Patient characteristics and setting

107 MCI participants diagnosed by the Petersen 1991 criteria at baseline. Baseline demographic data reported for 100 participants, who were included in the analysis.

Gender: 59 men; 41 women. MCI‐MCI: 38 men; 20 women; MCI‐AD: 21 men; 21 women

Age: 67 ± 9 years MCI‐MCI; 69 ± 7 years MCI‐AD

APOE ϵ4 carrier: 27/58 MCI‐MCI; 30/42 MCI‐AD

MMSE: 27 ± 2 MCI‐MCI; 26 ± 3 MCI‐AD

Sources of referral: not reported

Sources of recruitment: secondary care, outpatients from memory clinic, Amsterdam, the Netherlands

Index tests

CSF t‐tau biomarker

CSF was obtained by lumbar puncture between the L3/L4 and L4/L5 intervertebral space and collected in10 mL polypropylene tubes. CSFsamples were processed within 2 hours (centrifuged at 1800 × g for 10 min at 4 °C and stored at ‐80 °C in polypropylene tubes until analysis). CSF t‐tau was measured using a commercial sandwich ELISA (Innotest).

Threshold(s): > 356 pg/mL abnormal level; determined at baseline and based on published data (Schoonenboom 2005)

The index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standard: NINCDS‐ADRDA criteria for Alzheimer's disease dementia; Neary 1998 criteria; Roman 1993 criteria; McKeth 2005 criteria

Not reported whether clinicians conducting follow‐up were aware of CSF biomarker results.

Flow and timing

Duration of follow‐up: median 18 months (IQR 13 to 24); for MCI converters, the median was 17 months (IQR 13 to 24); for MCI‐stable the median was 18 months (IQR 12 to 25).

At follow‐up: 107 MCI:

49 MCI converters (42 MCI‐AD; 3 MCI‐FTD, 2 MCI‐VD; 1 MCI‐LBD; 1 MCI‐dementia due to hydrocephalus);

58 MCI‐MCI (page 1373).

Number included in analyses: 100 MCI: 42 MCI‐AD and 58 MCI‐MCI

36 with 'normal' CSF t‐tau level and 64 with 'abnormal' CSF t‐au level (Table 1, page 1374)

Conversion to AD:

TP = 35; FP = 29; FN = 7; TN = 29; sensitivity = 83%; specificity = 50% (calculated in Revman5)

Missing data: 7 MCI participants who converted to other forms of dementia were excluded from the analysis.

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

No

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

High

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

High

Koivunen 2008

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design.

Prospective MCI group of 15 participants with aMCI and 22 healthy controls were included. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable. Sampling procedure and exclusion criteria not described.

Patient characteristics and setting

15 participants diagnosed by the Petersen 1999 criteria.

GENDER: 9 men; 6 women

AGE (y): mean age 71.1 ± 7.2

APOE ϵ4 carrier (%): not reported

MMSE: 25.1 (range 18 to 30)

Education: not reported

Sources of referral: not reported

Sources of recruitment: not reported. The study was conducted in Finland.

Index tests

CSF t‐tau; CSF p‐tau; CSF p‐tau/ABeta42

CSF sample was collected by lumbar puncture into polypropylene tubes and stored at –70 °C until analysis. The CSF levels of ABeta42, total tau and p tau (181P) were measured by a commercial ELISA (Innogenetics, Ghent, Belgium) according to the manufacturer’s protocol.

Threshold: CSF t‐tau > 400 pg/mL; CSF p‐tau < 70 pg/mL; CSF p‐tau/ABeta42 < 6.5 pg/mL. The cut‐off values used were based on the own control material. No further information.

Index test was conducted before clinical follow‐up. The ELISA analyses were done blinded to the diagnosis.

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer's dementia

Reference standard: NINCS‐ADRDA criteria; DSM‐IV criteria

Not reported whether clinicians conducting follow‐up were aware of CSF biomarkers' results.

Flow and timing

Duration of follow‐up: 2 years

At baseline: 15 MCI participants (10 CSF t‐tau abnormal tests; 9 CSF p‐tau abnormal tests; 9 CSF p‐tau/ABeta42 abnormal tests) (abstract)

At follow‐up: 15 MCI: 6 MCI‐AD (3 CSF t‐tau abnormal tests; 3 CSF p‐tau abnormal tests; 4 CSF p‐tau/ABeta42 abnormal tests); 9 MCI‐MCI (stable) (page 381)

Number included in analysis: 14

Conversion to Alzhemer's disease dementia:

CSF p‐tau: TP = 2; FP = 7; FN = 3; TN = 2; sensitivity = 40%; specificity = 22% (calculated in Revman5)

CSF p‐tau/ABeta42: TP = 4; FP = 6; FN = 1; TN = 3; sensitivity = 80%; specificity = 33% (calculated in Revman5)

Loss to follow‐up: CCF p‐tau result was not available for one MCI‐AD participant

Comparative

Notes

The trial investigators were contacted and asked for the relevant data for CSF t‐tau (email on 30/12/13). No further information was available at the time this review was prepared.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

High

Unclear

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

Unclear

Monge‐Argiles 2011

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

Prospective MCI group of 37 MCI participants, attending the cognitive deterioration outpatients clinic of a general hospital, and 24 control subjects without subjective memory loss or known cognitive deterioration were recruited. No further details. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Participants with dementia or other neurological, psychiatric or medical disease which could provoke cognitive deterioration, anticoagulant therapy, failure to obtain informed consent, or a Yesavage depression scale score > 5 were excluded.

Patient characteristics and setting

37 participants diagnosed by the Petersen 2006 criteria at baseline;

Gender: 13 men; 24 women; MCI‐MCI: 11 men, 15 women; MCI‐AD: 2 men, 9 women

Age: mean 73.43 ± 6.63 years

APOEϵ4 carrier: not reported

MMSE: mean 25 ± 2.4; MCI‐AD: mean 23 ± 1.2

Sources of recruitment: secondary care, outpatients from General Hospital, Spain

Index tests

CSFt‐tau; CSF p‐tau; CSF t‐tau/ABeta ratio; CSF p‐tau/ABeta ratio

The LP was performed by a hospital neurologist with a 20 X 3.5 gauge needle. CSF was collected in standard tubes and centrifuged if little sanguinolent, before being frozen. CSF samples with obvious blood were discarded. CSF biomarkers were analysed using xMAP Luminex technology and INNO‐BIA Alzbio3 reagents (Innogenetics, Belgium).

Threshold(s): 77.5 pg/mL for CSF t‐tau; 54.5 for CSF P‐tau; 0.18 for CSF t‐tau/ABeta ratio; 0.17 for CSF P‐tau/ABeta ratio (Table 6, page 990); thresholds determined at follow‐up: ROC curve analysis was performed to determine the best cutoff values for measurement of variables. The best cutoff value was defined taking into account the highest sensitivity.

Index test was conducted before clinical follow‐up and all samples were blindly analysed with respect to the clinical data.

Target condition and reference standard(s)

Target condition: conversion to Alzheimer's disease dementia

Reference standard: NINCDS‐ADRDA criteria

Unclear whether clinicians conducting follow‐up were aware of CSF biomarker results

Flow and timing

Duration of follow‐up: 6 months

At baseline: 37 MCI

At follow‐up: 11 MCI‐AD; 26 MCI‐MCI (Table 1, p 989)

Number included in analyses=37

Conversion to Alzheimer's disease dementia:

1) CSF t‐au: sensitivity 72.7%; specificity 70% (Table 6, page 990)

TP = 8, FP = 8, FN = 3, TN = 18 (calculated in RevMan5)

2) CSF p‐tau: sensitivity 82%; specificity 58% (Table 6, page 990)

TP = 9, FP = 11, FN = 2, TN = 15 (calculated in RevMan5)

3) CSF t‐tau/ABeta ratio: sensitivity 91%; specificity 50% (Table 6, page 990)

TP = 10, FP = 13, FN = 1, TN = 13 (calculated in RevMan5)

4) CSF p‐tau/ABeta ratio: sensitivity 82%; specificity 66% (Table 6, page 990)

TP = 9, FP = 9, FN = 2, TN = 17 (calculated in RevMan5)

Loss to follow‐up: CSF marker and follow‐up data appeared to have been available for all participants.

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

No

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Unclear

Palmqvist 2012

Study characteristics

Patient sampling

Study design: prospective cohort study

133 participants were ”randomly recruited” among those fulfilling the MCI criteria who were referred to the memory clinic between 2000 and 2006. There were several people during this period who were not included due to administrative causes (information from the author).

Exclusion criteria were not described.

Patient characteristics and setting

133 MCI participants, diagnosed with the Petersen 2004 criteria, were recruited from the Memory Clinic of University Hospital in Malmo, Sweden. At the initial visit, all participants were assessed by physicians experienced in dementia disorders, and underwent thorough physical, psychiatric and neurological examinations, as well as an interview that focused on their cognitive symptoms and ADL function.

Gender: MCI‐MCI: 34 women, 28 men; MCI‐AD: 36 women, 16 men; MCI‐other dementias: 8 women, 11 men

Age (y): MCI‐MCI: mean 69.8 (range 55 to 85); MCI‐AD: 75.3 (range 55 to 87); MCI‐other dementias: 71.2 (59 to 83)

APOEϵ4 carrier (%): MCI‐MCI: 28 (45); MCI‐AD: 39 (76); MCI‐other dementias: 12 (63)

MMSE: MCI‐MCI: mean 28.1 ± 1.2; MCI‐AD: mean 26.1 ± 1.5; MCI‐other dementias: mean 27.1 ± 2.0

Education: not reported

Sources of referral: most participants were referred from primary care units, but some referrals came from other clinics at the hospital.

Sources of recruitment: memory clinic, Sweden

Index tests

CSF t‐tau; CSF p‐tau; CSF t‐tau/ABeta ratio

CSF was collected at baseline in polypropylene tubes and gently mixed to avoid gradient effects. All samples were centrifuged within 30 minutes at +4 uC at 2000 g for 10 min to remove cells and debris. Samples were stored in aliquots at ‐80 oC pending biochemical analysis. The procedure used and the analysis of the CSF followed the Alzheimer’s Association Flow Chart for lumbar puncture (Blennow 2010) . The Luminex xMAP technology was used to determine the levels of tau, ABeta42 and p‐tau (Ollson 2005). In addition to tau, ABeta42 and p‐tau, the ratio of ABeta42/tau was tested as a separate variable in the logistic regression models since it previously had shown high predictive accuracy in this cohort (Hertze 2010) . Lumbar puncture was only conducted at the initial visit.

Threshold: CSF t‐tau: > 87 pg/mL; CSF p‐tau: > 39 pg/mL. The cut‐offs were optimised (page e38639)

Not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia or other forms of dementia

Reference standards: NINCDS‐ADRDA for AD; NINDS‐AIREN/Erkinjuntti for VaD; McKeith for DLB

Clinicians conducting follow‐up were not aware of CSF biomarker results (page e38639)

Flow and timing

Duration of follow‐up: mean 5.9 years (range: 3.2 to 8.8)

At baseline: 133 MCI participants

At follow‐up: 62 MCI‐MCI; 52 MCI‐AD; 19 MCI‐other forms of dementias (Table, 2; page e38639)

Number included in analysis: 133

Conversion to Alzheimer's disease dementia:

1) CSF t‐tau: sensitivity = 80%; specificity = 72% (Table, 2; page e38639)

TP = 42; FP = 23; FN = 10; TN = 58 (calculated in RevMan5)

2) CSF p‐tau: sensitivity = 67%; specificity = 86% (Table, 2; page e38639)

TP = 35; FP = 11; FN = 17; TN = 70 (calculated in RevMan5)

Note: the accuracy of the CSF t‐tau/ABeta ratio not reported

Loss to follow‐up: none

Comparative

Notes

The author contacted regarding the sample procedure (Dr Palmqvist email on 28/2/14). Data for CSF t‐tau/ABeta ratio not available.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Parnetti 2012

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

454 participants were consecutively referred to the memory clinic for a first diagnostic assessment of cognitive disturbances during the period 2005 to 2007. A prospective MCI group of 90 participants were recruited. 28 participants with AD were also enrolled in the study. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

No exclusion criteria were specified.

Patient characteristics and setting

90 participants diagnosed by the Petersen 1999 criteria at baseline and had follow‐up assessment at least once a year during four years.

Gender: total: 66 men; 34 women

Age (y): MCI‐MCI: mean 66.35 ± 8.22; MCI‐AD: mean 67.23 ± 9.04

APOE ϵ4 carrier: not reported

MMSE: MCI‐MCI: 27.28 ± 1.47; MCI‐AD: 26.66 ± 1.58

Sources of referral: not reported

Sources of recruitment: memory clinic, Clinica Neurologica, Universita degli Studi di Perugia, Italy

Index tests

CSF p‐tau/ABeta1‐42 ratio; CSF t‐tau; CSF p‐tau; CSF t‐tau/ABeta1‐42 ratio

Data available only for the CSF p‐tau/ABeta1‐42 ratio. Authors contacted.

Lumbar puncture was performed after an overnight fasting. CSF (10 mL) was collected in sterile polypropylene tubes, centrifuged for 10 min at 3000 × g and divided in 0.5 mL aliquots which were immediately frozen at−80 oC. CSF A1‐40 was measured using a commercially available ELISA (IBL International, Japan) following instruction from the manufacturer. CSF ABeta1‐42, total tau, and p‐tau were measured with ELISA method (Innotest ABeta1‐42, hTAU‐Ag, p‐tau 181 Ag, Innogenetics NV, Gent, Belgium) (Andreasen 1999; Blennow 1995)

Threshold: 1074.0 for CSF p‐tau/ABeta1‐42 ratio. Cutoff values were calculated using sensitivity and specificity values that maximized Youden’s index (Youden 1950).

Not reported whether the index test results were interpreted without knowledge of the results of the reference standard.

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer's disease.

Reference standard: not specified. MCI participants were clinically evaluated at least once a year during 4‐year follow‐up period (p 230). However, it was reported that the NINCDS‐ADRDA criteria were used at baseline to identify AD diagnostic group.

Flow and timing

Duration of follow‐up (y): mean 3.40 ± 1.01 (maximum 4 years)

At baseline: 90 MCI participants

At follow‐up: 90 MCI: 32 MCI‐AD; 58 MCI‐MCI (stable); (page 230)

Number included in analysis: 90

Conversion to Alzheimer's disease dementia:

CSF p‐tau/ABeta1‐42 ratio: sensitivity 81%; specificity 95% (page 233)

TP = 26; FP = 3; FN = 6; TN = 55 (calculated in RevMan5)

Loss to follow‐up: none

Comparative

Notes

Trial investigators contacted. Missing data requested for CSF t‐tau, CSF p tau and CSF t‐tau/ABeta1‐42 ratio biomarkers. No further information was available at the time this review was prepared.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

If a threshold was used, was it pre‐specified?

No

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Unclear

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Unclear

Were all patients included in the analysis?

Yes

Unclear

Visser 2009

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

Prospective group of participants with SCI, naMCI and aMCI were recruited from 20 memory clinics across Europe, between January 2003 and June 2005, into the prospective DESCRIPA cohort study. Neurologically healthy controls were also recruited. Sampling procedure for a MCI cohort not described. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria were a diagnosis of dementia or any somatic, psychiatric, or neurological disorder that might have caused the cognitive impairment.

Patient characteristics and setting

168/193 participants from the DESCRIPA cohort with an available CSF baseline sample were included in the study. The data overlapped with the data from the Vos 2013 paper. However, we considered different CSF biomarkers in those two studies.

Gender: 88 men; 80 women

Age (years): 70.0 ± 7.7 naMCI; 70.0 ± 7.7 aMCI; 66.0 ± 7.9 SCI

MMSE: 27.6 ± 2.2 naMCI; 25.9 ± 2.8 aMCI; 28.8 ± 1.2 SCI

Sources of recruitment: European multicentre memory clinics

Index tests

CSF p‐tau; CSF p‐tau/ABeta ratio

CSF was collected by lumbar puncture, centrifuged, and stored at –80 °C in polypropylene tubes, except where specified. The investigators measured CSF biomarkers with single‐parameter ELISA kits (Innotest β‐amyloid [1–42]; Innotest hTAU‐Ag; Innotest Phospho‐tau [¹⁸¹P]; Innogenetics, Ghent, Belgium). Analyses were done at one laboratory (Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Sweden) by operators who were blinded to all clinical information.

Threshold (positive test): CSF p‐tau: i) ≥ 51 pg/mL (used in clinic) and ii) ≥ 85 pg/mL (> 90th percentile controls after correction for age); CSF p‐tau/ABeta ratio: ˂ 9.92 (< 10th percentile of reference group after correction for age)

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia

Reference standard: NINCDS‐ADRDA criteria; DSM‐IV criteria

Diagnosis of dementia was conducted blinded to results of CSF biomarker analysis (page 621).

Flow and timing

Duration of follow‐up: range 1 to 3 years

193 participants in the DESCRIPA cohort had CSF samples collected. Twenty‐five participants were not included in the study: 6 had no neuropsychological test done at baseline; 11 had CSF collected at follow‐up but not at baseline; 8 had insufficient CSF left for central analysis.

At baseline: N = 168 (MCI = 108 and SCI = 60)

Number included in analysis: N = 158

Conversion to AD:

1.a) CSF p‐tau threshold: ≥ 51 pg/mL (used in clinic).

TP = 31; FP = 77; FN = 4; TN = 46 (unpublished data obtained from the author); sensitivity = 88%; specificity = 37% (calculated in Revman5)

1.b) CSF p‐tau threshold: ≥ 85 pg/mL (> 90th percentile controls after correction for age)

TP = 20; FP = 25; FN = 15; TN = 98 (unpublished data obtained from the author); sensitivity = 58%; specificity = 80% (calculated in Revman5)

2) CSF p‐tau/ABeta ratio threshold: ˂ 9.92 (< 10th percentile of controls after correction for age)

TP = 28; FP = 49; FN = 7; TN = 74 (unpublished data obtained from the author); sensitivity = 80%; specificity = 60% (calculated in Revman5)

Loss to follow‐up: 10 (CSF follow‐up data were not available; the reason not given)

Comparative

Notes

The trial investigators contacted; they provided requested data tor the 2 x 2 table to be completed; email from Dr Visser on 14/4/14

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

Unclear

Vos 2013

Study characteristics

Patient sampling

Study design: prospective cohort study

399 participants with aMCI and 226 participants with naMCI from the DESCRIPA cohort and Alzheimer Centre of the VU University medical centre (VUmc). DESCRIPA is a European multicentre study performed in a memory clinic setting and enrolled subjects between 2003 and 2005. For this study, 431 eligible subjects were selected from 16 participating centres in which CSF was collected, MRI was performed, or APOE genotype was determined. The VUmc centre was one of the DESCRIPA centres and contributed an additional sample of 194 subjects that were seen outside the DESCRIPA inclusion period with data on CSF, MRI, or APOE measures. No differences in biomarkers were found between subjects from the VUmc centre in the DESCRIPA study and those from the additional VUmc sample. The sampling procedure was not described.

Exclusion criteria were diagnosis of dementia at baseline or any other somatic, psychiatric or neurological disorder that might have caused the cognitive impairment.

Patient characteristics and setting

231/635 had available CSF data and were included in the review. 214/235 MCI participants, diagnosed by Petersen 2004 criteria at baseline, had a least one follow‐up assessment. Baseline demographic data reported on all 625 participants. There was some data overlap with the data from the Visser 2009 paper. However, we considered different CSF biomarkers from those two studies.

Gender: 270 men; 335 women

Age: 70.7 ± 7.6 years naMCI; 70.7 ± 7.8 aMCI

MMSE: 27.5 ± 2.1 naMCI; 26.5 ± 2.5 aMCI

Sources of recruitment: European multicentre memory clinics

Index tests

CSF t‐tau; CSF t‐tau/ABeta ratio

CSF was collected by lumbar puncture, centrifuged, and stored at ‐80 °C in polypropylene tubes. Three samples were thawed twice but analyses without these samples revealed similar results. CSF ABeta1‐42 and total tau (t‐tau) were measured by experienced technicians using commercially available sandwich ELISAs (Innotest ABeta‐amyloid 1‐42; Innotest hTAU‐Ag; Innogenetics, Ghent, Belgium), specially constructed to measure ABeta‐amyloid 1‐42 and t‐tau, at the lab in Gothenburg for the DESCRIPA cohort and in Amsterdam for the additional subjects of the VUmc cohort. We corrected for inter‐laboratory ELISA differences by analysing 33 samples at both labs and we adjusted VUmc values to those of DESCRIPA using the following formula: Gothenborg = (SD Gothenborg/SD VUmc) * VUmc + average Gothenborg – ((SD Gothenborg/SD VUmc) * average VUmc).

Threshold (positive test): CSF t‐tau: > 450 pg/mL for age less than 70 years; > 500 pg/mL for age older than 70 years;

CSF t‐tau/ABeta ratio: ABeta1–42/(240 1 [1.18 3 t‐tau]) ˂ 1.0.

Index test was conducted before follow‐up.

Target condition and reference standard(s)

Target condition: Alzheimer's disease dementia

Reference standard: NINCDS‐ADRDA criteria; DSM‐IV criteria

Diagnosis of dementia was conducted blinded to results of CSF biomarker analysis (page 8).

Flow and timing

Duration of follow‐up: mean 2.5 years (maximum duration 5 years); follow‐up was performed annually

At baseline: 231 MCI

At follow‐up: 214 MCI: 91 MCI‐AD; 123 MCI‐MCI

Number included in analysis: 214

Conversion to Alzheimer's disease dementia (data obtained from Dr Vos):

1) CSF t‐tau

TP = 65; FP = 28; FN = 26; TN = 95; sensitivity = 71%; specificity = 77%

2) CSF t‐tau/ABeta ratio

TP = 87; FP = 60; FN = 4; TN = 63; sensitivity = 96%; specificity = 51%

Loss to follow‐up: 17 participants did not have a follow‐up assessment (some refused to participate or were untraceable or died before follow‐up)

Comparative

Notes

The trial investigators contacted; they provided requested data tor the 2 x 2 table to be completed; email from Dr Vos on 14/4/14

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

No

Unclear

AD: Alzhemer's disease; ADD: Alzheimer's disease dementia; ADL: activities of daily living; aMCI: amnestic mild cognitive impairment; APOEϵ4: Apolipoprotein E epsilon‐4; CDR: clinical dementia rating; CNS: central nervous system; CSF: cerebrospinal fluid; DLB: Dementia with Lewy Bodies; DSM‐III‐R: Diagnostic and Statistical Manual of Mental Disorders‐III‐Revised; DSM‐IV: Diagnostic and Statistical Manual of Mental Disorders‐IV‐Revised; ELISA: enzyme‐linked immunoabsorbent assay; FTD: fronto‐temporal dementia; GDS: Global Deterioration Scale; IQR: interquartile range; LP: lumbar puncture; MCI: mild cognitive impairment; MMSE: mini‐mental state examination; nAD: non‐Alzheimer's disease; naMCI: non‐amnestic mild cognitive impairment; NINCDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association; NINDS‐AIREN: National Institute of Neurological Disorders and Stroke and Association and Internationale pour la Recherché et l'Enseignement en Neurosciences; ROC: receiver operating characteristics; SCI: subjective cognitive impairment; VaD: vascular dementia

Notes:Mattson 2009 is important and one of the single most defining studies in the field. However, we were not able to include it in our review because there was an overlap between participants in the Mattsson 2009 paper and participants assessed in the seven studies included in our review: Buchhave 2012; Eckerstrom 2010; Hansson 2006; Herukka 2007; Kester 2011; Palmqvist 2012; Visser 2009; therefore, we identified this paper as a ‘multiple publication’ and added it to those seven studies

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Desikan 2011

Not having data for constructing a 2 X 2 table. Study design: target condition was not conversion from MCI to dementia. The focus of the study was to asses relationship between neurodegeneration, amyloid Aß and CSF t‐tau in MCI and healthy elderly controls. ADNI participants.

Forlenza 2010

Not having data for constructing a 2 X 2 table. Study design: threshold not used. The objective of the study was to examine CSF biomarker levels between MCI‐AD converters and MCI‐MCI stable participants.

Holland 2012

Not having data for constructing a 2 X 2 table. Study design: threshold not used. Annual changes in CSF biomarker levels were considered.The focus of the study was to asses the effects of age on rates of clinical decline.

Ivanoiu 2005

Not having data for constructing a 2 X 2 table. Study design: threshold not used. The objective of the study was to examine prediction of progression to Alzheimer's disease and correlation with neuropsychological examination.

Jack 2011

ADNI study. Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition was not conversion from MCI to dementia. The objective of the study was to empirically assess the concept that Alzheimer's disease biomarkers significantly depart from normality in a temporarily ordered manner.

Jagust 2009

ADNI study. Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition was not conversion from MCI to dementia. The objective of the study was to assess relationship between biomarkers in ageing and dementia.

Lanari 2009

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Landau 2010

ADNI study. Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Maruyama 2004

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared

Maruyama 2004b

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Mattsson 2012

Not having data for constructing a 2 X 2 table. Study design: retrospective analysis. The objective of the study was to evaluate changes in biomarker levels between MCI‐AD converters and MCI‐MCI stable participants over time.

Participants: 15 MCI‐AD and 15 MCI‐MCI participants selected from a 4‐year follow‐up study.

Nordlund 2010

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Okamura 2002

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Okonkwo 2011

ADNI study. Not having data for constructing a 2 X 2 table. Index test: combined CSF biomarkers. The relevant data for each individual CSF biomarker were not available.

Pereira 2010

Not having data for constructing a 2 X 2 table. Study design: threshold not used. The objective of the study was to examine the pattern of functional impairment in the continuum MCI‐AD.

Perneczky 2011

Not having data for constructing a 2 X 2 table. Study design: threshold not used. The accuracy of CSF t‐tau not evaluated. CSF t‐tau levels measured in different diagnostic groups.

Riemenschneider 2002

Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators but no further information was available at the time this review was prepared.

Samtani 2012

ADNI study. Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition was not conversion from MCI to dementia. The objective of the study was to develop a semi‐mechanistic disease progression model for MCI participants.

Schneider 2010

Not having data for constructing a 2 X 2 table. Study design: target condition was not conversion from MCI to dementia. The aim of the study was to test the recommendation of including MCI participants with low CSFamyloid ABeta and high CSF t‐tau/ABeta ratio biomarkers in clinical trials, in order to improve efficiency of the RCT.

Shaw 2009

ADNI study. Not having data for constructing a 2 X 2 table. The aim of the study was to develop a cerebrospinal fluid biomarker signature for mild Alzheimer's disease in ADNI participants.

Sluimer 2010

Not having data for constructing a 2 X 2 table. Study design: threshold not used. Annual changes in CSF biomarker levels were considered. The focus of the study was to assess the association between CSF biomarker levels and MRI‐based whole brain atrophy rate in MCI and AD.

Snider 2009

Not having data for constructing a 2 X 2 table. Study design: threshold not used. The aim of the study was to determine whether baseline CSF biomarker’s levels predict a rate of cognitive change, measured by CDR‐SB (Clinical Dementia Rating Sum of Boxes score) in participants with very mild DAT (CDR = 0.5 and Berg 1998 standard criteria)

Van Harten 2012

Not having data for constructing a 2 X 2 table. Study design: target condition was clinical progression, not conversion from MCI (SMC) to Alzheimer's disease dementia, in participants with cognitive complaints. According to our inclusion criteria, we considered participants with ‘subjective memory complaints’ (Matthew 2008).

Verwey 2008

Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition not conversion from MCI to dementia. The focus of the study was to evaluate changes in CSF levels of tau and p‐tau over time.

Walhovd 2010

ADNI study. Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition was not conversion from MCI to Alzheimer's disease dementia. The aim of the study was to assess an overall classification accuracy of biomarkers for diagnostic groups (for instance, controls vs AD), or to assess predictive accuracy of clinical change in MCI.

Wang 2012

Not having data for constructing a 2 X 2 table. Study design: threshold not used. Target condition was not conversion from MCI to Alzheimer's disease dementia. The aim of the study was to determine whether CSF proteins were associated with hippocampal degeneration in participants with clinically diagnosed early AD.

Westman 2012

ADNI study. Insufficient data to complete 2 X 2 tables. Additional data were requested from the trial investigators. The accuracy of the combination of the three CSF biomarkers (ABeta42, t‐tau and p‐tau) was assessed. The author could not provide us with the relevant data for each individual CSF biomarker.

Yang 2012

ADNI study. Not having data for constructing a 2 X 2 table. The accuracy of the combined CSF biomarkers, as well as the accuracy of the combination of those CSF and structural biomarkers were assessed. The relevant data for each individual CSF biomarker were not reported.

AD: Alzheimer's disease; ADNI: Alzheimer Disease Neuroimaging Initiative; CDR‐SB: Clinical Dementia Rating Sum of Boxes score; DAT: dementia Alzheimer's type; MCI: mild cognitive impairment; SMC: subjective memory complaints

Characteristics of studies awaiting classification [ordered by study ID]

Balasa 2014

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design.

120 participants with early onset of cognitive impairment (51 MCI; 42 AD; 10 FTD; 3 posterior cortical atrophy; 14 primary progressive aphasia), who were referred to outpatient clinic at the Hospital Clinic Barcelona, were recruited prospectively between January 2009 and March 2013. Thirty‐seven control subjects were also recruited. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: not reported.

Patient characteristics and setting

51 participants with MCI (25 amnestic; 20 amnestic multi‐domain; 6 non‐amnestic) diagnosed by Petersen 2004 criteria will be included in an updated review.

GENDER: 28 men; 23 women

AGE (y): 57.9 ± 6 (range = 37 to 66)

APOE 4 carrier (%): 37.5

MMSE (SD): 25.6 ± 6

Education: not reported

Sources of referral: not reported

Sources of recruitment: Alzheimer’s Disease and Other Cognitive Disorders Unit outpatient clinic at the Hospital Clinic Barcelona, Italy

Index tests

CSF ABeta42/p‐tau ratio

All participants underwent lumbar puncture during the morning. The samples were centrifuged and stored in polypropylene tubes at −80 ºC within 2 hours. Levels of ABeta42, t‐tau, and p‐tau were measured by experienced laboratory personnel using commercial sandwich ELISA kits (Innogenetics, Gent, Belgium).

Threshold: prespecified; the ABeta42/p‐tau ratio was used in order to classify all the subjects as CSF positive (ratio ABeta42/p‐tau < 6.43) or negative (ratio ABeta42/p‐tau ≥ 6.43).

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer’s disease dementia

Reference standard: NIA‐AA workgroup recommendations

Flow and timing

Duration of follow‐up: 41 months for MCI‐AD; 30 months for MCI‐MCI

At baseline: 51 MCI: 25 MCI with positive CSF biomarker; 26 MCI with negative CSF biomarker (Figure 1, p 924)

At follow‐up: 25 MCI with positive CSF biomarker: 24 MCI‐AD and 1 MCI nonconverters; 26 MCI with negative CSF biomarker: 26 MCI nonconverters; 0 MCI converters; D+ (disease positive) = 24; D (disease negative) = 27

Number to be included in analysis: (N = 51)

Conversion to ADD:

TP = 24; FP = 1; FN = 0; TN = 26 (Fig 1, p 924)

sensitivity = 100%; specificity = 96% (calculated in RevMan5)

Comparative

Notes

Authors need to be contacted in order to confirm that our calculation based on the information from Figure 1, p 924 is correct.

Participants: MCI participants with early onset of cognitive impairment (age < 65 years). This needs to be taken into consideration if the study is going to be included in an updated review.

Eckerstrom 2015

Study characteristics

Patient sampling

Study design: retrospective analysis of the longitudinal data; this is a sub‐study of the Gothenborg MCI study.

We included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: age > 79 or < 40, Mini Mental State Examination (MMSE) score < 19, acute/unstable somatic disease, severe psychiatric disorder, substance abuse or confusion caused by drugs.

Patient characteristics and setting

73 participants diagnosed with the Global Deterioration Scale (GDS) criteria (Reisberg 1998) at baseline: 34 MCI converters (18 MCI‐AD; 16 MCI‐non‐AD) and 39 MCI‐stable.

GENDER: 14 men and 25 women MCI‐stable; 13 men and 21 women MCI converters

AGE (y): 64.4 ± 7.0 MCI‐stable; 66.9 ± 6.9 MCI converters

APOE 4 carrier (%): 16/39 (41%) MCI‐stable; 24/34 (71%) MCI converters

MMSE: 28.6 ± 1.4 MCI‐stable; 27.6 ± 2.0 MCI converters

Education: 12.4 ± 3.8 MCI‐stable; 11.3 ± 4.0 MCI converters

Sources of referral: not reported

Sources of recruitment: University of Gothenburg, Molndal, Sweden

Index tests

CSF p‐tau; CSF t‐tau/ABeta42 ratio

CSF samples were collected by lumbar puncture, which was performed in the morning to exclude influence on the results from possible diurnal fluctuations in biomarker levels. CSF samples were collected in a polypropylene tube, and immediately transported to the local laboratory for centrifugation. They were stored at −80 ºC, without being thawed and refrozen, pending biochemical analyses. CSF T‐tau, P‐tau181, and ABeta42 levels were determined using sandwich enzyme‐linked immunosorbent assays (INNOTEST® hTau Ag, INNOTEST® PHOSPHO‐TAU(181P), and INNOTEST® !‐AMYLOID(1‐42), respectively) from Innogenetics.

Threshold: CSF p‐tau: 73; CSF t‐tau/ABeta42 ratio: 0.85 (p 207); not prespecified. ROC curves were used to calculate the cutoff values based on the maximum for the sum of sensitivity and specificity

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer’s disease dementia or ‘all dementia’

Reference standard: NINCDS‐ADRDA criteria

Flow and timing

Duration of follow‐up: 43.1 ± 23 months MCI‐stable; 33.7 ± 24 months MCI converters

At baseline: 73 MCI participants

At follow‐up: 34 MCI converters (18 MCI‐AD; 16 MCI‐non‐AD) and 39 MCI‐stable.

Note: One patient (MCI‐stable) declined LP. Additionally, analysis of CSF p‐tau could not be performed on 9 patients (7 MCI converters, 2 MCI‐stable) due to lack of CSF.

Table 2, p 208: CSF p‐tau reported in 63/73 participants; number of MCI participants with the CSF t‐tau/ABeta

Beta42 ratio value not reported

Number included in analysis: (N = 63)

CSF p‐tau: at follow‐up, 27 MCI converters; 36 MCI‐stable; D+ (disease positive) = 27; D (disease negative) = 36

Conversion to ‘all dementia’:

sensitivity = 44%; specificity = 92% (Table 3, p 209)

TP = 12; FP = 3; FN = 15; TN = 33 (calculated in Revman5)

Conversion to ADD:

sensitivity = 75%; specificity = 92% (Table 4, p 209)

Insufficient data to create 2 X 2 tables. It was not reported in which 7MCI (?MCI‐AD; ?MCI‐non‐AD) CSF p‐tau was not performed.

CSF t‐tau/ABeta42

Note: The accuracy data of CSF t‐tau/ABeta42 ratio biomarker not reported

Comparative

Notes

Authors need to be contacted in order to obtain missing data. Check with the authors whether the sensitivity and specificity values given in Table 3 and Table 4 relate to a threshold given for CSF p‐tau.

Ewers 2012

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

Subjects with a complete data set of CSF, MRI and neuropsychological tests were drawn from the ADNI data set including 130 participants with amnestic MCI, 81 participants with AD, and 101 elderly healthy controls. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: not reported.

Patient characteristics and setting

130 participants with amnestic MCI will be included in an updated review. Diagnostic criteria for amnestic MCI: subjective memory impairment and objective memory impairment identical to that for AD; a CDR of 0.5 including the memory box score of 0.5 or greater, and a MMSE score between 24 and 30; unimpaired general cognitive ability; functional performance such that participants with MCI did not meet criteria for dementia.

GENDER: 44 men and 28 women MCI‐stable; 39 men and 19 women MCI‐AD

AGE (y): 73.4 ± 7.4 MCI‐stable; 74.6 ± 7.3 MCI‐AD

APOE 4 carrier (%): 46 MCI‐stable; 65.5 MCI‐AD

MMSE: 27.4 ± 1.6 MCI‐stable; 26.9 ± 1.8

Education: not reported

Sources of referral: not reported

Sources of recruitment: ADNI participants

Index tests

CSF t‐tau; CSF p‐tau

All CSF samples collected at the different centres were shipped on dry ice to the Penn ADNI Biomarker Core Laboratory at the University of Pennsylvania, Philadelphia for storage at ‐80 °C until further analysis at the laboratory. The concentration of CSF biomarkers was measured in the baseline CSF samples using Innogenetics reagents (research use only AlzBio3 immunoassay kits, Ghent, Belgium) and the multiplex xMAP Luminex platform (Lumnix Corporation, Austin, TX) at the Penn ADNI Biomarker Core Laboratory

Threshold: not reported

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer’s disease dementia

Reference standard: NINCDS‐ADRDA criteria

Flow and timing

Duration of follow‐up: 2 years

At baseline: 130 amnestic MCI

At follow‐up: 58 MCI‐AD; 72 MCI‐stable; D+ (disease positive) = 58; D (disease negative) = 72

Number included in analysis: (N = 130)

Conversion to ADD:

CSF t‐tau

Sensitivity = 60.7%; specificity = 58.9% (Table 2, p 1209)

TP = 35; FP = 30; FN = 23; TN = 42 (calculated in RevMan5)

CSF p‐tau

Sensitivity = 63.9%; specificity = 58.9 (Table 2, p 1209)

TP = 37; FP = 30; FN = 21; TN = 42 (calculated in RevMan5)

Comparative

Notes

Authors need to be contacted in order to obtain threshold's values for CSF biomarkers; also check whether all 130 MCI participants were included in the analysis (Table 2, p 1029)

Leuzy 2015

Study characteristics

Patient sampling

Study design: nested case‐control study with a delayed verification design

Thirty‐three participants with MCI and thirty‐five participants with AD were recruited from the Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden. We only included data on performance of the index test to discriminate between participants with MCI who converted to dementia and those who remained stable.

Exclusion criteria: not reported

Patient characteristics and setting

33 participants with MCI diagnosed by Petersen 1999 and Winbald 2004 criteria will be included in an updated review.

GENDER: 11 men and 10 women MCI‐stable; 3 men and 9 women MCI‐AD

AGE (y): 63.52 ± 8.23 MCI‐stable; 62.33 ± 6.96 MCI‐AD

APOE 4 carrier (%): not reported

MMSE: not reported

Education (y): 13.10 ± 3.24 MCI‐stable; 13.58 ± 3.40 MCI‐AD

Sources of referral: not reported

Sources of recruitment: Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden

Index tests

CSF t‐tau; CSF p‐tau; CSF t‐tau/ABeta1‐42 ratio; CSF p‐tau/ABeta1‐42 ratio

CSF samples were obtained via lumbar puncture (LP) which was performed under non‐fasting conditions, between 8 and 11 a.m., with a total of 10 mL of CSF collected. After discarding the first 0.5 mL, samples were centrifuged at 1500 × g (3000 to 4000 rpm) for 10 min at +4 ºC. Samples were then stored at –80 ºC in 1 mL portions pending biochemical analysis, without being thawed or refrozen. Levels of CSF biomarkers were determined using commercially available sandwich ELISAs (Innogenetics, Ghent, Belgium).

Note: For the MCI group, levels of ABeta1‐42 and t‐tau were obtained for all subjects, with p‐tau181p available for 26 of 33 subjects.

Threshold: prespecified; cutoff ˃ 400 pg/mL CSF t‐tau; cutoff ˃ 80 pg/mL CSF p‐tau; cutoff < 1.14 CSF ABeta1‐42/t‐tau ratio; cutoff < 6.5 CSF ABeta1‐42/p‐tau ratio

Target condition and reference standard(s)

Target condition: conversion from MCI to Alzheimer’s disease

Reference standard: NINCDS‐ADRDA criteria

Flow and timing

Duration of follow‐up: not reported

At baseline: 33 MCI

At follow‐up: 21 MCI‐stable; 12 MCI‐AD

Number included in analysis: (N = 33)

Conversion to ADD:

CSF t‐tau

TP = 8; FP = 7; FN = 4; TN = 14 (Table 2, p 1081)

sensitivity = 67%; specificity = 67% (calculated in Revman5)

CSF ABeta1‐42/t‐tau ratio

TP = 6; FP = 6; FN = 6; TN = 15 (Table 2, p 1081)

sensitivity = 50%; specificity = 71% (calculated in Revman5)

Number included in analysis: (N = 26)

Conversion to ADD:

CSF p‐tau

CSF ABeta1‐42/p‐tau ratio

Insufficient data to create 2 X 2 tables. It was not reported how many MCI‐stable and MCI‐AD were at follow‐up in a group of 26 MCI with available CSF p‐tau biomarkers.

Comparative

Notes

Authors need to be contacted in order to obtain missing data for creating 2 X 2 tables for the CSF p‐tau and CSF ABeta1‐42/p‐tau ratio biomarkers. Check with the authors whether the data used in 2 X 2 tables are correctly extracted from Table 2, p 1081 for the CSF t‐tau and CSF ABeta1‐42/t‐tau ratio biomarkers; ask for a length of a follow‐up period.

AD: Alzheimer's disease; ADD: Alzheimer's disease dementia; FTD: fronto‐temporal dementia; GDS: Global Deterioration Scale; LP: lumbar puncture; MCI: mild cognitive impairment; MMSE: mini‐mental state examination; NIA‐AA: National Institute on Aging‐Alzheimer’s Association ;NINDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association

Data

Presented below are all the data for all of the tests entered into the review.

Open in table viewer
Tests. Data tables by test

Test

No. of studies

No. of participants

1 CSF t‐tau conversion to AD dementia Show forest plot

7

709


CSF t‐tau conversion to AD dementia.

CSF t‐tau conversion to AD dementia.

2 CSF p‐tau conversion to AD dementia Show forest plot

6

492


CSF p‐tau conversion to AD dementia.

CSF p‐tau conversion to AD dementia.

3 CSF p‐tau/ABeta ratio to AD dementia Show forest plot

5

433


CSF p‐tau/ABeta ratio to AD dementia.

CSF p‐tau/ABeta ratio to AD dementia.

4 CSF t‐tau conversion to All dementias Show forest plot

4

319


CSF t‐tau conversion to All dementias.

CSF t‐tau conversion to All dementias.

Study flow diagramNote: a top‐up search performed in December 2015 revealed 6134 records85 records retained after de‐duplication and assessment by one experienced reviewer81 records excluded after further assessment performed by two review authors4 studies identified for possible inclusion (Characteristics of studies awaiting classification)
Figuras y tablas -
Figure 1

Study flow diagram

Note: a top‐up search performed in December 2015 revealed 6134 records

85 records retained after de‐duplication and assessment by one experienced reviewer

81 records excluded after further assessment performed by two review authors

4 studies identified for possible inclusion (Characteristics of studies awaiting classification)

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study
Figuras y tablas -
Figure 2

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study

Risk of bias and applicability concerns graph: review authors' judgements about each domain presented as percentages across included studies
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Figure 3

Risk of bias and applicability concerns graph: review authors' judgements about each domain presented as percentages across included studies

Forest plot of 1 CSF t‐tau conversion to AD dementia.
Figuras y tablas -
Figure 4

Forest plot of 1 CSF t‐tau conversion to AD dementia.

Summary ROC Plot of 1 CSF t‐tau conversion to AD dementia.
Figuras y tablas -
Figure 5

Summary ROC Plot of 1 CSF t‐tau conversion to AD dementia.

Post‐test probability plots (Analysis 1): Conversion from MCI to Alzheimer’s disease for CSF t‐tau as a diagnostic test
Figuras y tablas -
Figure 6

Post‐test probability plots (Analysis 1): Conversion from MCI to Alzheimer’s disease for CSF t‐tau as a diagnostic test

Forest plot of 2 CSF p‐tau conversion to AD dementia.
Figuras y tablas -
Figure 7

Forest plot of 2 CSF p‐tau conversion to AD dementia.

Summary ROC Plot of 2 CSF p‐tau conversion to AD dementia.
Figuras y tablas -
Figure 8

Summary ROC Plot of 2 CSF p‐tau conversion to AD dementia.

Post‐test probability plots (Analysis 2): Conversion from MCI to Alzheimer’s disease for CSF p‐tau as a diagnostic test
Figuras y tablas -
Figure 9

Post‐test probability plots (Analysis 2): Conversion from MCI to Alzheimer’s disease for CSF p‐tau as a diagnostic test

Forest plot of 3 CSF p‐tau/ABeta ratio to AD dementia.
Figuras y tablas -
Figure 10

Forest plot of 3 CSF p‐tau/ABeta ratio to AD dementia.

Summary ROC Plot of 3 CSF p‐tau/ABeta ratio to AD dementia.
Figuras y tablas -
Figure 11

Summary ROC Plot of 3 CSF p‐tau/ABeta ratio to AD dementia.

Forest plot of 4 CSF t‐tau conversion to all forms of dementia.
Figuras y tablas -
Figure 12

Forest plot of 4 CSF t‐tau conversion to all forms of dementia.

Summary ROC Plot of 4 CSF t‐tau conversion to All dementias.
Figuras y tablas -
Figure 13

Summary ROC Plot of 4 CSF t‐tau conversion to All dementias.

CSF t‐tau conversion to AD dementia.
Figuras y tablas -
Test 1

CSF t‐tau conversion to AD dementia.

CSF p‐tau conversion to AD dementia.
Figuras y tablas -
Test 2

CSF p‐tau conversion to AD dementia.

CSF p‐tau/ABeta ratio to AD dementia.
Figuras y tablas -
Test 3

CSF p‐tau/ABeta ratio to AD dementia.

CSF t‐tau conversion to All dementias.
Figuras y tablas -
Test 4

CSF t‐tau conversion to All dementias.

Summary of findings Performance of CSF biomarkers in early diagnosis of dementia

What is the diagnostic accuracy of CSF biomarker levels for detecting Alzheimer's disease pathology in people with mild cognitive impairment (MCI), and identifying those MCI participants who would convert to Alzheimer’s disease dementia or other forms of dementia over time

Descriptive

Patient population

Participants diagnosed with MCI at baseline using any of the Petersen criteria or CDR = 0.5 or any 16 definitions included by Matthews (Matthews 2008)

Sampling procedure

Consecutive or random (n = 5)

Not consecutive or random (n = 3)

Unclear (n = 7)

Sources of recruitment

University memory clinic (n = 8); European multicentre memory clinics (n = 2); inpatients (n = 2); General Hospital memory clinic (n = 1); Research centre outpatient memory clinic (n = 1); not reported (n = 1)

Prior testing

The only testing prior to performing the plasma and CSF biomarkers was the application of diagnostic criteria for identifying participants with MCI.

MCI criteria

Petersen criteria (n = 14)

Global Deterioration Scale (GDS) (n = 1)

Index tests

CSF t‐tau or CSF p‐tau or CSF p‐tau/ABeta ratio or CSF t‐tau/ABeta ratio

Reference standard

NINCDS‐ADRDA and/or DSM and/or ICD criteria for Alzheimer's disease dementia (n = 12); Global Dementia Scale (GDS) & Research criteria (n = 1); CDR = 1 criteria (n = 1); not specified (n = 1)

McKeith criteria for Lewy body dementia; Lund criteria for frontotemporal dementia; and NINDS AIREN criteria for vascular dementia

Target condition

Alzheimer’s disease dementia or any other types of dementia

Included studies

Prospectively well‐defined cohorts of MCI participants (n = 7), nested case‐control studies with a prospectively defined MCI group (n = 6) and studies with a retrospectively defined MCI group with longitudinal data (n = 2).

Fifteen studies (N = 1282 participants) were included. Number included in analysis: 1172

Quality concerns

Patient selection and conduct of the reference standard were poorly reported. Applicability concerns were generally low. Regarding the inclusion criteria set in the review, the majority of included studies did match the review question: 'Could CSF t‐tau and CSF t‐tau/ABetaratio biomarkers identify those MCI participants with Alzheimer’s disease pathology at baseline who would convert clinically to dementia at follow up?' However, due to a limited number of included studies and levels of heterogeneity, it is difficult to determine to what extent the findings from a meta‐analysis can be applied to clinical practice.

Limitations

Limited investigation of heterogeneity due to insufficient number of studies. There was a lack of common thresholds.

Test

Median percentage converting (range) 2

Studies

Cases/participants

Median specificity from included studies

Sensitivity

(95% CI)1 at median specificity

Consequences in a cohort of 100

Median percentage converting2

Missed cases

Overdiagnosed

Alzheimer's disease dementia

CSF t‐tau

7

436/709

72

77 (67, 85)

37

9

18

Alzheimer's disease dementia

CSF p‐tau

6

164/492

47.5

81 (64, 91.5)

37

7

33

Alzheimer's disease dementia

CSF p‐tau/ ABeta ratio

5

140/433

No meta‐analysis

No meta‐analysis

All types of dementia

CSF t‐tau

4

166/319

No meta‐analysis

No meta‐analysis

Investigation of heterogeneity: the planned investigations were not possible due to the limited number of studies available for each analysis. We were unable to investigate the effect of duration of follow‐up due to substantial variation in length and reporting.

Conclusions: Given the insufficient evidence to evaluate the diagnostic value in MCI of CSF t‐tau, CSF p‐tau, CSF t‐tau/ABeta ratio and CSF p‐tau/ABeta ratio for Alzheimer's disease dementia and other forms of dementias examined in this review, particular attention should be paid to the risk of misdiagnosis and overdiagnosis of dementia (and therefore overtreatment) in clinical practice. Future studies with more uniform approaches to thresholds, analysis and study conduct may provide a more homogenous estimate than the one that has been available from the included studies we have identified.

1Meta‐analytic estimate of sensitivity derived from the HSROC model at a fixed value of specificity. Summary estimates of sensitivity and specificity were not computed because the studies that contributed to the estimation of the summary ROC curve used different thresholds.

2The median percentage converting was calculated using all the studies that reported 'conversion from MCI to Alzheimers' disease dementia' (Table 2)

Figuras y tablas -
Summary of findings Performance of CSF biomarkers in early diagnosis of dementia
Table 1. Studies awaiting classification

Conversion from MCI to Alzheimer’s disease dementia

Study

Participants

n/N

(included in analysis)

Index test

(number and % of positive tests)

Threshold

(test abnormal) (prespecified Yes/No)

Number of converters (%)

FP and FN

Test accuracy at study level

Duration of follow‐up

Sensitivity

Specificity

*Balasa 2014

51/51

CSF ABeta42/p‐tau ratio

25/51 (49%)

< 6.43

(Yes)

24/51 (47%)

FP =1; FN =0

100%

96%

41 months for MCI‐AD; 30 months for MCI‐MCI

*Ewers 2012

130/130

CSF t‐tau

65/130 (50%)

Not reported

58/130 (45%)

FP = 30; FN = 23

60.7%

58.9%

24 months

CSF p‐tau

67/130 (51.5%)

Not reported

58/130 (45%)

FP = 30; FN = 21

63.9%

58.9%

*Leuzy 2015

33/33

CSF t‐tau

15/33 (45%)

˃ 400 pg/mL(Yes)

12/33 (36%)

FP = 7; FN = 4

67%

67%

Not reported

CSF t‐tau/ABeta ratio

12/33 (36%)

< 1.14

(Yes)

12/33 (36%)

FP = 6; FN = 6

50%

71%

Conversion from MCI to all dementias

*Eckerstrom 2015

73/73

CSF p‐tau

15/73 (20.5%)

73 pg/mL

(No)

27/73 (36.9%)

FP = 3; FN = 15

75%

92%

43.1 ± 23 months MCI‐stable; 33.7 ± 24 months MCI converters

Study awaiting translation

Urakami 2004

AD: Alzheimer's disease; FN: false negative; FP: false positive; MCI: mild cognitive impairment

*Authors need to be contacted in order to obtain missing data/relevant information. Data presented are provisional.

Figuras y tablas -
Table 1. Studies awaiting classification
Table 2. Conversion from MCI to Alzheimer's disease dementia

Included studies, index test and test accuracy at study level for conversion from MCI to Alzheimer’s disease dementia

Study

Participants n/N

(included in analysis)

Index test

(number and % of positive tests)

Threshold

(test abnormal) (prespecified Yes/No)

Number of converters (%)

FP and FN

Test accuracy at study level

Duration of follow‐up

Sensitivity

Specificity

Amlien 2013

49/39

CSF t‐tau

9/39 (23%)

≥ 300 ng/L for age younger than 50 years; ≥ 450 ng/L for age 50 to 69 years; ≥ 500 ng/L for age older than 70 years (Sjogren 2001)

(Yes)

9/39 (23%);

FP = 4; FN = 4

56%

87%

mean 2.6 ± 0.5 years

(range 1.6 to 4 years)

Buchhave 2012*

137/134

CSF p‐tau/ABeta ratio

69/134 (51%)

˂ 6.2 ng/L

(No)

72/134 (54%)

FP = 6; FN = 9

88%

90%

median: 9.2 years

(range 4 to 12 years)

Fellgiebel 2007

16/16

CSF p‐tau

12/16 (75%)

≥ 50 pg/mL

(No)

4/16 (25%)

FP = 8; FN = 0

100%

33%

mean 19.6 ± 9.0 months

Hampel 2004

52/52

CSF t‐tau

38/52 (73%)

≥ 479 ng/L

(No)

29/52 (56%);

FP = 12; FN = 3

90%

48%

mean 8.4 ± 5.1 months

(range 2 to 24 months)

Hansson 2006*

137/134

CSF t‐tau

38/134 (28%)

> 350 ng/L

(No)

57/134 (42%);

FP = 9; FN = 28

51%

88%

Total sample: median 5.2 years (range 4.0 to 6.8 years);

MCI‐AD: median: 4.3 years (range 1.1 to 6.7 years)

MCI‐other dementias: median 4.2 years (range 1.5 to 3 years)

CSF p‐tau

50/134 (37%)

≥ 60 ng/L

(No)

57/134 (42%);

FP = 11; FN = 18

68%

86%

CSF p‐tau/ABeta ratio

74/134 (55%)

˂ 6.5 ng/L

(No)

57/134 (42%);

FP = 19; FN = 2

96%

75%

Kester 2011

153/100

CSF t‐tau

64/100 (64%)

> 356 pg/mL

(Yes)

42/100 (42%)

FP = 29; FN = 7

83%

50%

median 18 months

(IQR 13 ‐ 24)

Koivunen 2008

15/14

CSF p‐tau

9/14 (64%)

≥ 70 pg/mL

(Yes)

5/14 (36%)

FP = 7; FN = 3

40%

22%

2 years

CSF p‐tau/ABeta ratio

9/14 (64%)

˂ 6.5 pg/mL

(yes)

5/14 (36%)

FP = 6; FN = 1

80%

33%

Monge‐Argiles 2011

37/37

CSF t‐tau

16/37 (43%)

≥ 77.5 pg/mL

(No)

11/37 (28%)

FP = 8; FN = 3

73%

69%

6 months

CSF p‐tau

20/37 (54%)

≥ 54.5 pg/mL

(No)

11/37 (28%)

FP = 11; FN = 2

82%

58%

CSF p‐tau/ABeta ratio

18/37 (49%)

0.17

(No)

11/37 (28%)

FP = 9; FN = 2

82%

66%

CSF t‐tau/ABeta ratio

23/37 (62%)

0.18

(No)

11/37 (28%)

FP = 13; FN = 1

91%

50%

Palmqvist 2013

133/133

CSF t‐tau

65/133 (49%)

> 87 pg/mL

(No)

52/133 (39%)

FP = 23; FN = 10

81%

72%

mean 5.9 years

(range 3.2 to 8.8 years)

CSF p‐tau

46/133 (34%)

> 39 pg/mL

(No)

52/133 (39%)

FP = 11; FN = 17

67%

86%

Parnetti 2012

90/90

CSF p‐tau/ABeta ratio

29/90 (32%)

1074.0

(No)

32/90 (35%)

FP = 3; FN = 6

81%

95%

maximum: 4 years; mean 3.40 ± 1.01 years

Visser 2009

168/158

CSF p‐tau

108/158 (68%)

≥ 51 pg/mL

(used in clinical practice) (No)

35/158 (22%)

FP = 77; FN = 4

88%

37%

range 1 to 3 for MCI

CSF p‐tau

45/158 (28%)

≥ 85pg/mL

(> 90th percentile of controls after correction for age)

(No)

35/158 (22%)

FP = 25; FN = 15

57%

80%

CSF p‐tau/ABeta ratio

77/158 (49%)

˂ 9.92 (< 10th percentile of reference group after correction for age) (No)

35/158 (22%);

FP = 49; FN = 7

80%

60%

Vos 2013

231/214

CSF t‐tau

93/214 (43%)

> 450 pg/mL for age less than 70 years; > 500 pg/mL for age older than 70 years (Yes)

91/214 (42%)

FP = 28; FN = 26

71%

77%

mean 2.5 ± 1.0 years

CSF t‐tau/ABeta ratio

147/214 (69%)

ABeta1–42/(240 1 [1.18 3 t‐tau]) ˂ 1.0

(Yes)

91/214 (42%)

FP = 60; FN = 4

96%

51%

AD: Alzheimer's disease; FN: false negative; FP: false positive; MCI: mild cognitive impairment

*Studies involved the same participants. Only Hansson 2006 is included in the meta‐analysis

Figuras y tablas -
Table 2. Conversion from MCI to Alzheimer's disease dementia
Table 3. Conversion from MCI to All dementia

Included studies, index test and test accuracy at study level for conversion from MCI to All dementias

Study

Participants n/N

(included in analysis)

Index test

(Number and % of positive tests)

Threshold

(test abnormal) (pre‐specified Yes / No)

Number of converters (%)

FP and FN

Test accuracy at study level

Duration of follow‐up

Sensitivity

Specificity

Eckerstrom 2010

42/42

CSF t‐tau

15/42 (36%)

≥ 500 ng/L

(No)

21/42 (50%)

FP = 1

FN = 7

67%

95%

Total sample: 19.6 ± 9.0 months; MCI‐MCI: 19.5 ± 9.3 months; MCI‐progressive: 17.6 ± 8.8 months (4/8 MCI‐AD: 23.7 ± 2.0 months)

Galluzzi 2010

90/64

CSF t‐tau

24/64 (37.5%)

> 450 pg/mL for subjects with an age range between 51 and 70 determined; > 500 pg/mL for subjects with an age range between 71 and 93

(Yes)

34/64 (53%)

FP = 5

FN = 15

56%

83%

Total sample: 8.4 ± 5.1 months (range 2 to 24 months); follow‐up interval for converters was 9.6 ± 5.4, and for non‐converters 7.0 ± 4.3 months

Hansson 2006

137/134

CSF t‐tau

38/134 (28%)

> 350 pg/mL

(No)

78/134 (58%)

FP = 5

FN = 45

42%

91%

Total sample: median 5.2 years (range 4.0 to 6.8); MCI‐AD: median: 4.3 years (range 1.1 to 6.7); MCI‐other dementias: median 4.2 (1.5 to 6.3)

Herukka 2007

79/79

CSF t‐tau

43/79 (54%)

> 400 pg/mL (Yes)

33/79 (42%)

FP = 17

FN = 7

79%

63%

Mean 3.52 ± 1.95 years in MCI converters; mean 4.56 ± 3.09 years in MCI‐stable

AD: Alzheimer's disease; FN: false positive; FP: false negative; MCI: mild cognitive impairment

Figuras y tablas -
Table 3. Conversion from MCI to All dementia
Table Tests. Data tables by test

Test

No. of studies

No. of participants

1 CSF t‐tau conversion to AD dementia Show forest plot

7

709

2 CSF p‐tau conversion to AD dementia Show forest plot

6

492

3 CSF p‐tau/ABeta ratio to AD dementia Show forest plot

5

433

4 CSF t‐tau conversion to All dementias Show forest plot

4

319

Figuras y tablas -
Table Tests. Data tables by test