Evidence map›Paper›PMID 38378160›Full record

SynthesisJournal of the American Medical Directors Association2024

A Meta-Analysis of Fall Risk in Older Adults With Alzheimer's Disease.

Sara Mahmoudzadeh Khalili, Caroline Simpkins, Feng Yang

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of the American Medical Directors Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 1% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Falls predict faster progression to Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Personality and falls: evidence from three samples.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

3 authors at 1 institution in 1 country.

Sara Mahmoudzadeh KhaliliDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA, USA.
Caroline SimpkinsDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA, USA.
Feng YangDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA, USA. Electronic address: fyang@gsu.edu.
Georgia State University · US

Funding

Motor learning of fall resistant skills from laboratory-induced falling among people with Alzheimer's diseaseR21AG077307 · NIA · GEORGIA STATE UNIVERSITY · PI YANG, FENG · 2022 to 2023
$429k
NIA NIH HHS R21 AG077307
6 · The paper itself

Abstract

objectivesFalls are the leading cause of injuries in older adults. Although it is well recognized that Alzheimer's disease (AD) increases the fall risk of older adults, the reported fall risk in people with AD varies drastically. The principal purpose of this study was to summarize and synthesize previous studies reporting fall risk-related metrics in people with AD.

designThis was a meta-analysis. SETTING AND

participantsThirty-one studies reporting relevant fall data among 4654 older adults with AD were included.

methodsThe fall prevalence, average number of falls, rate of recurrent fallers, and rate of injured fallers of included studies were meta-analyzed using random-effects models with inverse variance weights.

resultsThe pooled annual fall prevalence in older people with AD is 44.27% with an average annual number of falls of 1.30/person and a yearly rate of recurrent fallers of 42.08%. The reported rate of injured fallers was 45.0%. CONCLUSIONS AND IMPLICATIONS: Our results reinforce that people with AD experience a higher fall risk than their cognitively healthy counterparts. The pooled fall metrics in this meta-analysis extend our understanding of the fall risk in people with AD. In addition, standardized approaches are needed to report fall-related data for people with AD.

Indexed as

Accidental FallsAlzheimer DiseaseAgedAged, 80 and overFemaleHumansMalePrevalenceRisk AssessmentRisk FactorsCognitive impairmentfall preventioninjured fallerrecurrent faller

Identifiers

PMID38378160
PMCPMC11065606
OpenAlexW4392256661

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.