Evidence map›Paper›PMID 38725433›Full record

ArticleAdvances in geriatric medicine and research2024

Meta-Analysis-Based Comparison of Annual Fall Risk between Older Adults with Alzheimer's Disease and Mild Cognitive Impairment.

Caroline Simpkins, Sara Mahmoudzadeh Khalili, Feng Yang

Abstract read
In one paragraph

Article in Advances in geriatric medicine and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. microPublication biology · 2025
    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.

Caroline SimpkinsDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA 30303, USA.
Sara Mahmoudzadeh KhaliliDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA 30303, USA.
Feng YangDepartment of Kinesiology and Health, Georgia State University, Atlanta, GA 30303, USA.

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

Background: Falls are a primary cause of injuries and hospitalization in older adults. It has been reported that cognitive impairments and dementia can increase fall risk in the older population; however, it remains unknown if fall risk differs among subgroups of dementia. This meta-analysis summarized previous studies reporting the annual fall risk of people with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and compared the fall risk between these two groups of people with dementia. Methods: Thirty-five studies enrolling 7844 older adults with AD or MCI were included. The annual fall prevalence and average number of falls of the included studies were meta-analyzed and compared by random-effects models with inverse variance weights. Results: The annual fall prevalence in people with AD (43.55%) was significantly higher than MCI (35.26%, Conclusions: The results showed that older people with AD experience a higher annual fall prevalence with a larger number of falls than older adults with MCI. The results suggested that the fall risk measurements should be reported separately between people with AD and MCI. The findings could provide preliminary guidance for the identification of individuals with dementia who experience a high fall risk.

Indexed as

dementiafallerfall preventionnumber of falls

Identifiers

PMID38725433
PMCPMC11081206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.