Evidence map›Paper›PMID 41848005›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Accelerating real-world prediction and research in Alzheimer's: The M3AD study.

Moïse Desvarieux, Tatjana Rundek, Habibul Ahsan, Javier Narvaez, Felipe Diaz, Daniel Malinsky, Luis Marco Ruiz, Maxim Topaz, Thomas Falconer, Karthik Natarajan and 28 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors.

Moïse DesvarieuxDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Tatjana RundekEvelyn McKnight Brain Institute, School of Medicine, University of Miami, Miami, Florida, USA.
Habibul AhsanInstitute for Population and Precision Health, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Javier NarvaezDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Felipe DiazDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Daniel MalinskyDepartment of Biostatistics, Columbia University, New York, New York, USA.
Luis Marco RuizInternational Associated Laboratory on Chronic Disease and Multimorbidity, Mailman School of Public Health and Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, Paris, France.
Maxim TopazSchool of Nursing, Columbia University, New York, New York, USA.
Thomas FalconerDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
James NobleDepartment of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, GH Sergievksy Center, Columbia University, New York, New York, USA.
Barbara EntwisleCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.
Deepthi PuramFrost Institute for Data Science & Computing, University of Miami, Coral Gables, Miami, Florida, USA.
Tara AnandDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Hsin Yi ChenDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Xinzhuo JiangDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.
Yian GuDepartment of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, GH Sergievksy Center, Columbia University, New York, New York, USA.
Alan CohenRobert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York, USA.
Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Brandon PierceInstitute for Population and Precision Health, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Howard AndrewsDepartment of Psychiatry, Columbia University Irving Medical Center, New York, USA.
Emily RogalskyDepartment of Neurology, Healthy Aging & Alzheimer's Care Center, University of Chicago, Chicago, Illinois, USA.
Shahla FarzanaInstitute for Population and Precision Health, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
George GulottaCenter for Research Informatics, University of Chicago, Chicago, Illinois, USA.
John BeardRobert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York, USA.
Danielle LandronCenter for Research Informatics, University of Chicago, Chicago, Illinois, USA.
Samuel L VolchenboumDepartment of Pediatrics, The University of Chicago, Chicago, Illinois, USA.
Philippe RavaudDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Julie JohnsonCenter for Research Informatics, University of Chicago, Chicago, Illinois, USA.
Ezra SusserDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Andrew RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Ying WeiDepartment of Biostatistics, Columbia University, New York, New York, USA.
Nick TsinoremasFrost Institute for Data Science & Computing, University of Miami, Coral Gables, Miami, Florida, USA.
David LoewensteinFlorida Alzheimer's Disease Research Center, University of Florida, Gainesville, Florida, USA.
Linda FriedDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Allison AielloDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Richard MayeuxDepartment of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, GH Sergievksy Center, Columbia University, New York, New York, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, New York, USA.

Funding

Multi-morbidity 3-City Alzheimer's Disease EHR Study (M3AD Study)R56AG082167 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DESVARIEUX, MOISE, HRIPCSAK, GEORGE M · 2024 to 2024
$5.4M
NIA NIH HHS R56 AG082167NIA NIH HHS R56AG082167NIH HHS
6 · The paper itself

Abstract

Chronic diseases, including Alzheimer's disease (AD) and related dementia (ADRD), do not exist solely as isolated entities. Instead, they weave concomitant trajectories of multiple diseases, conditions, behaviors, and risks, mutually influencing each other's course and natural history, in ways yet unexplored. Electronic health records (EHRs) provide us with a unique opportunity to look at related and unrelated clinical trajectories over time, thus potentially providing insight into unrecognized prodromes, while incorporating the complexities of patients' lives. We harmonize and federate a three-city EHR metaplatform of nearly 10 million patients (∼60,000 with AD/ADRD), which we further embed within census tracts, to contextualize these health trajectories. Our multidisciplinary approach ambitions a unique dynamic platform to inform strategies to tailor risk prediction, complex clinical management, and real-world evaluation of future treatments of AD/ADRD. We present the rationale for and design of the Multimorbidity Three-City Alzheimer's Disease EHR (M3AD) Study and real-world data metaplatform, progress and demonstration of feasibility, its expected singular and complementary contributions to the field. HIGHLIGHTS: Our success in living longer lives often brings chronic conditions and multimorbidity. Alzheimer's research should comprise life trajectories' complexity in multimorbidity. New real-world analytical approaches allow integrated prediction of Alzheimer's disease. We are building a three-city electronic health record (EHR) metaplatform for prediction, prevention, and impact We further embed EHR within census tracts to contextualize Alzheimer's trajectories.

Indexed as

Alzheimer DiseaseElectronic Health RecordsHumansAlzheimer'sbig datacausalitycensuschronic conditionsdementiaEHRelectronic health recordepidemiologymultimorbiditypersonalizedprecisionpredictionpreventionpublic healthreal‐world

Identifiers

PMID41848005
PMCPMC13093339

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.