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Meta-Analysis
. 2025 Sep;24(9):740-752.
doi: 10.1016/S1474-4422(25)00227-3.

Blood phosphorylated tau for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Blood phosphorylated tau for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis

Joseph Therriault et al. Lancet Neurol. 2025 Sep.

Abstract

Background: Plasma phosphorylated tau (p-tau) biomarkers show promise to transform the clinical management of Alzheimer's disease by providing more accessible and cost-effective diagnostic tools. p-tau biomarkers have emerged as leading contenders for clinical implementation; however, there have been no comprehensive meta-analyses of their diagnostic performance. We aimed to evaluate the diagnostic performance of plasma p-tau biomarkers and individual p-tau assays to identify biologically defined Alzheimer's disease.

Methods: For this systematic review and meta-analysis, we searched Embase, MEDLINE, PubMed, Scopus, and Web of Science for articles published from July 1, 1984 up to Dec 9, 2024, that reported on the discriminative accuracy of plasma p-tau biomarkers for amyloid-PET, tau-PET, CSF, and neuropathological reference standards. We included cohort, case-control, cross-sectional, and randomised controlled studies that recruited adults from any setting. Articles were excluded if they did not contain data on a p-tau blood biomarker, did not contain an appropriate biological reference standard, did not report diagnostic accuracy data, included participants younger than 18 years, or reported duplicate or overlapping data from another publication. Summary data were independently extracted by eight authors. Risk of bias was assessed using QUADAS-2. The primary outcome was the diagnostic performance of plasma p-tau biomarkers for Alzheimer's disease. We used a bivariate random-effects meta-analysis to estimate pooled sensitivity, specificity, diagnostics odds ratio and area under the receiver operating characteristic curve. We assessed the certainty of evidence using GRADE. This study was done following PRISMA-DTA guidelines and is registered with PROSPERO as CRD42023422143.

Findings: Of the 6429 studies identified by our search, 312 studies were assessed for eligibility, with 113 studies included in the final analysis, comprising 29 625 unique individuals. Plasma p-tau217 was the highest-performing biomarker for identifying biologically defined Alzheimer's disease, with pooled sensitivity of 88·1% (95% CI 86·7-89·5, moderate certainty of evidence), specificity of 88·7% (87·4-89·9, moderate certainty of evidence), area under the receiver operating characteristic curve (AUROC) of 91·1% (88·9-92·4, moderate certainty of evidence), and diagnostic odds ratio of 50·7 (40·6-63·4). p-tau181 pooled sensitivity was 80·5% (78·4-82·4, low certainty of evidence), specificity was 76·4% (74·1-78·6, low certainty of evidence), AUROC was 81·5% (80·2-82·9, low certainty of evidence), and diagnostic odds ratio was 13·4 (11·4-16·7). p-tau205 pooled sensitivity was 76·6% (70·7-81·6, moderate certainty of evidence), specificity was 86·0% (78·6-91·2, moderate certainty of evidence), AUROC was 85·1% (80·7-89·6, moderate certainty of evidence), and diagnostic odds ratio was 20·2 (10·5-38·7). p-tau212 pooled sensitivity was 84·5% (75·5-90·6, moderate certainty of evidence), specificity was 87·3% (79·5-92·5, moderate certainty of evidence), AUROC was 90·3% (86·6-94·1, moderate certainty of evidence), and diagnostic odds ratio was 41·2 (22·0-77·3). p-tau231 pooled sensitivity was 75·2% (71·3-78·8, moderate certainty of evidence), specificity was 75·3% (71·2-78·9, moderate certainty of evidence), AUROC was 80·2 (77·6-82·7, moderate certainty of evidence), and diagnostic odds ratio was 9·3 (7·0-12·2). Approximately 90% of studies were rated as high risk of bias for not having used predefined or externally derived thresholds.

Interpretation: Plasma p-tau217 is a highly sensitive and specific biomarker for Alzheimer's disease pathology, despite the high risk of bias of many studies. Prospective clinical implementation studies in real-world settings are needed to characterise the effect of plasma p-tau217 on Alzheimer's disease diagnosis and clinical management.

Funding: McGill Faculty of Medicine Fellowship.

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Conflict of interest statement

Declaration of interests JT has served as a consultant for the Neurotorium Educational Platform and as a medical writer for Alzheon, both outside of the scope of the present work. TKK has consulted for Quanterix, SpearBio, and Neurogen Biomarking, has received honoraria from the National Institutes of Health for study section membership, and honoraria for speaker or grant review engagements from the University of Pennsylvania, University of Wisconsin–Madison, Advent Health, Brain Health conference, Barcelona–Pittsburgh conference, and CQDM Canada, all outside of the submitted work. TKK has received blood biomarker data on defined research cohorts from Janssen and Alamar Biosciences for independent analysis and publication, with no financial incentive or research funding included. TKK is an inventor on patent WO2020193500A1 and patent applications 2450702-2, 63/693,956, 63/679,361, and 63/672,952. ERZ has served in the scientific advisory board of Nintx, Novo Nordisk, and Masima. ERZ is also a cofounder and a minority shareholder at Masima. SES has served on scientific advisory boards on biomarker testing and clinical care pathways for Eisai and Novo Nordisk and has received speaking fees for presentations on biomarker testing from Eisai, Eli Lilly, and Novo Nordisk. HZ has served at scientific advisory boards or as a consultant for Abbvie, Acumen, Alector, Alzinova, ALZpath, Amylyx, Annexon, Apellis, Artery Therapeutics, AZTherapies, Cognito Therapeutics, CogRx, Denali, Eisai, Enigma, LabCorp, Merry Life, Nervgen, Novo Nordisk, Optoceutics, Passage Bio, Pinteon Therapeutics, Prothena, Quanterix, Red Abbey Labs, reMYND, Roche, Samumed, Siemens Healthineers, Triplet Therapeutics, and Wave, has given lectures sponsored by Alzecure, BioArctic, Biogen, Cellectricon, Fujirebio, Lilly, Novo Nordisk, Roche, and WebMD, and is a co-founder of Brain Biomarker Solutions in Gothenburg, which is a part of the GU Ventures Incubator Program (outside submitted work). KB has served as a consultant and at advisory boards for Abbvie, AC Immune, ALZPath, AriBio, Beckman-Coulter, BioArctic, Biogen, Eisai, Lilly, Moleac, Neurimmune, Novartis, Ono Pharma, Prothena, Quanterix, Roche Diagnostics, Sanofi, and Siemens Healthineers, has served at data monitoring committees for Julius Clinical and Novartis, has given lectures, produced educational materials, and participated in educational programmes for AC Immune, Biogen, Celdara Medical, Eisai, and Roche Diagnostics, and is a cofounder of Brain Biomarker Solutions in Gothenburg, which is a part of the GU Ventures Incubator Programme, outside the work presented in this Article. PR-N has served on scientific advisory boards or as a consultant for Roche, Novo Nordisk, Eisai, and Cerveau Technologies. All other authors declare no competing interests.