Evidence map›Paper›PMID 41653098›Full record

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

Falls predict faster progression to Alzheimer's dementia.

Audrey A Keleman, Melody Li, Julie K Wisch, Rebecca M Bollinger, Melissa J Krauss, Elizabeth A Grant, Tammie L S Benzinger, Beau M Ances, John C Morris, Susan L Stark

Abstract 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. 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. Falls predict faster progression to Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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

10 authors.

Audrey A KelemanProgram in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Melody LiDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Julie K WischDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Rebecca M BollingerProgram in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Melissa J KraussProgram in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Elizabeth A GrantInstitute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, St. Louis, Missouri, USA.
Tammie L S BenzingerDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Beau M AncesDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
John C MorrisDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Susan L StarkProgram in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
FALLS: A MARKER OF PRECLINICAL ALZHEIMERS DISEASER01AG057680 · NIA · WASHINGTON UNIVERSITY · PI ANCES, BEAU M, STARK, SUSAN LYNN · 2018 to 2022
$3.4M
Building a data science workforce to improve the reproducibility of rehabilitation researchR25HD105583 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David Nelson Kennedy, Sook-Lei Liew · 2022 to 2026
$812k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R25HD105583NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P01AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG057680NICHD NIH HHS R25 HD105583NIH HHS P01AG03991NIH HHS P30AG066444NIH HHS R01AG057680
6 · The paper itself

Abstract

introductionIn preclinical Alzheimer's disease (AD), amyloid accumulates in the brain while individuals remain cognitively unimpaired (Clinical Dementia Rating

methodsLongitudinal cohort study. We monitored falls for 1 year among 125 CDR 0 older adults and assessed preclinical AD status (amyloid). We continued to evaluate CDR annually (median 10 years). The cohort was grouped: Preclinical AD-Fall-, Preclinical AD-Fall+, Preclinical AD+Fall-, and Preclinical AD+Fall+. Survival analysis examined time to progression to CDR 1 (mild dementia) by group.

resultsParticipants were 74 years (mean) at baseline, 62% female, 96% White. Preclinical AD+Fall+ progressed to CDR 1 most rapidly. Preclinical AD-Fall- progressed least quickly. Preclinical AD+Fall- and Preclinical AD-Fall+ had similar progression rates. DISCUSSION: Falls may associate with faster progression of AD dementia, potentially reflecting motor and gait dysfunction intrinsic to disease progression.

Indexed as

Accidental FallsAlzheimer DiseaseDisease ProgressionAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleagingAlzheimer diseaseamyloiddementiafalls

Identifiers

PMID41653098
PMCPMC12882545

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.