Evidence map›Paper›PMID 41556545›Full record

ArticleBrain : a journal of neurology2026

Clinical-biological Alzheimer's disease stage concordance: insights from cohorts and autopsy data.

Lydia Trudel, Joseph Therriault, Arthur C Macedo, Seyyed A Hosseini, Jaime Fernandez-Arias, Tevy Chan, Nesrine Rahmouni, Gleb Bezgin, Cécile Tissot, Marcel S Woo and 17 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Predicting continuous amyloid PET levels with CSF and plasma brain-derived p-tau217.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Lydia TrudelDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0009-0002-5593-7717
Joseph TherriaultDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Arthur C MacedoDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Seyyed A HosseiniDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Jaime Fernandez-AriasDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0002-6810-5920
Tevy ChanDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Nesrine RahmouniDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Gleb BezginDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0002-1069-9201
Cécile TissotLawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA.ORCID 0000-0003-2711-3833
Marcel S WooDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0002-1306-2708
Étienne AumontDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Yansheng ZhengDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Brandon HallDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Delphine Oliva-LopezDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Stuart W MitchellDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Robert HopewellPET Unit, McConnell Brain Imaging Centre, Montréal, QC H3A 2B4, Canada.
Chris Hung-Hsin HsiaoPET Unit, McConnell Brain Imaging Centre, Montréal, QC H3A 2B4, Canada.
Arthur W TogaMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Meredith N BraskieMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Karin L MeekerInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.
Jean-Paul SoucyDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Marie-Christine GuiotDepartment of Neuropathology, Montreal Neurological Institute, McGill University, Montréal, QC H3A 1A1, Canada.
Serge GauthierDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.
Paolo VitaliDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0001-8953-1542
Sid E O'BryantInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.
Tharick A PascoalDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Pedro Rosa-NetoDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada.ORCID 0000-0001-9116-1376

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI HOWARD J ROSEN · 2019 to 2026
$120.9M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sanjay Asthana · 2019 to 2026
$34.5M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2019 to 2026
$33.5M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Margaret Sewell · 2020 to 2026
$31.0M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHILIP L DE JAGER · 2020 to 2026
$30.1M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Arizona Alzheimer's CenterBoston UniversityCanadian Consortium of Neurodegeneration and AgingCIHRCleveland ADRCCleveland ClinicColin J. Adair Research FellowshipCure Alzheimer's FundEmory UniversityIndiana UniversityJohns HopkinsMayo ClinicMcGill Faculty of Medicine Research BursaryNCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345New York UniversityNIANIA NIH HHS K01 AG083115NIA NIH HHS L60 AG096756NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG062428NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG062715NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066462NIA NIH HHS P30 AG066507NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066511NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG066514NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072946NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P30 AG072972NIA NIH HHS P30 AG072973NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072977NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG072980NIA NIH HHS P30 AG086401NIA NIH HHS P30 AG086404NIA NIH HHS R01 AG043434NIA NIH HHS R01 AG045571NIA NIH HHS R01 AG052560NIA NIH HHS R01 AG053509NIA NIH HHS R01 AG053993NIA NIH HHS R01 AG054110NIA NIH HHS R01 AG056258NIA NIH HHS R01 AG056531NIA NIH HHS R01 AG058724NIA NIH HHS R01 AG061788NIA NIH HHS R01 AG062276NIA NIH HHS R01 AG067781NIA NIH HHS R01 AG073235NIA NIH HHS R01 AG077444NIA NIH HHS R35 AG072262NIA NIH HHS R56 AG045571NIA NIH HHS R56 AG074321NIA NIH HHS U01 AG057195NIA NIH HHS U19 AG063911NIA NIH HHS U19 AG073153NIA NIH HHS U24 AG067418NIA NIH HHS U24 AG072122NIH HHS S10 OD026738Northwestern UniversityOregon Health and Science UniversityRooney Family ResearchRush UniversityState of ArizonaUniversity of Alabama, BirminghamUniversity of California, DavisUniversity of California, IrvineUniversity of California, San DiegoUniversity of California, San FranciscoUniversity of KansasUniversity of KentuckyUniversity of MichiganUniversity of New MexicoUniversity of PennsylvaniaUniversity of PittsburghUniversity of Southern CaliforniaUniversity of WashingtonUniversity of WisconsinVanderbilt UniversityWake ForestWashington UniversityWeston Brain Institute
6 · The paper itself

Abstract

Alzheimer's disease (AD) is defined by its characteristic neuropathological changes, which allow for diagnosis and assessment of severity. Recently, the Alzheimer's Association proposed a framework to stage AD biologically based on tau-PET. Furthermore, the framework hypothesizes a degree of alignment between biological AD severity and clinical symptom severity. We aimed to investigate the concordance between clinical and biological stages of AD and explore factors contributing to discordance using in vivo and post-mortem neuropathological data. Data from 768 amyloid-β-positive individuals were drawn from four observational cross-sectional in vivo cohorts (TRIAD, ADNI, HABS-HD and SCAN) in addition to a post-mortem autopsy dataset from the National Alzheimer's Coordinating Center (NACC; n = 3188). All in vivo participants had tau-PET imaging, clinical diagnosis and neurobehavioural assessments. Participants were assigned a biological AD stage based on their tau-PET scan according to the Alzheimer's Association revised criteria stages. The autopsy dataset included individuals with moderate-to-frequent neuritic plaques (CERAD scores 2-3), along with pre-mortem clinical and neurobehavioural data. Clinical-biological concordance was quantified using squared-weighted Cohen's κ. Ordinal and linear regression models assessed associations between biological stage and clinical severity (Clinical Dementia Rating-Sum of Boxes, Mini-Mental State Examination), adjusting for age, sex and cohort. Post-mortem analyses evaluated the impact of comorbid neuropathologies on clinical-biological discordance using adjusted odds ratios and ordinal regression. Overall concordance between clinical and biological AD staging was moderate (Cohen's κ = 0.52, P < 0.001). Approximately 70% of individuals classified as cognitively unimpaired or with dementia exhibited biological stages consistent with their clinical diagnoses. In contrast, transitional decline and mild cognitive impairment groups were more heterogeneous. Notably, 25% of amyloid-β-positive individuals with mild cognitive impairment demonstrated no detectable tau-PET abnormality. Nonetheless, advanced tau-PET stage was reliably associated with clinical impairment. In the NACC autopsy dataset, nearly all individuals with a more severe clinical stage than their proposed biological stage exhibited comorbid neuropathologies, including frontotemporal lobar degeneration (FTLD)-TDP-43, FTLD-tau, Lewy bodies, limbic-predominant age-related TDP-43 encephalopathy (LATE) and cerebrovascular disease. The number of comorbid pathologies was strongly associated with increased odds of clinical dementia (t = 8.45, P < 0.001). Although there is moderate agreement between clinical and biological stages of AD across the entire disease spectrum, strong agreement is found in clinically unimpaired and dementia stages. Comparison of clinical and biological AD stages provides a framework for understanding the large contributions of non-AD neurodegenerative diseases to dementia in amyloid-β-positive individuals. Our results have important implications for clinical trial recruitment strategies and highlight the urgent need for biomarkers for non-AD pathological processes.

Indexed as

Alzheimer DiseaseBrainAgedAged, 80 and overAmyloid beta-PeptidesAutopsyCohort StudiesCross-Sectional StudiesDisease ProgressionFemaleHumansMalePlaque, AmyloidPositron-Emission TomographySeverity of Illness Indextau ProteinsAmyloid beta-Peptidestau ProteinsAlzheimer’s diseaseclinicopathological concordancePET imagingstaging

Identifiers

PMID41556545
PMCPMC13431782

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.