Evidence map›Paper›PMID 42595986›Full record

ArticleBMC public health2026

Frailty, trajectories of frailty, and cognitive impairment: evidence from five longitudinal cohort studies.

Le Peng, Zhiliang Chen, Lei Li, Shiwen Zhang

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Le PengDepartment of Cardiology, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, 100049, China. lepeng@pku.org.cn.ORCID 0009-0005-2847-9791
Zhiliang ChenDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, China.
Lei LiDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, China.
Shiwen ZhangDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, China. snowy900608@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLongitudinal studies examining the impacts of frailty and its transitions on cognitive impairment in older adults across multiple regions remain scarce. This study aimed to explore the associations of baseline frailty status and frailty trajectories with cognitive impairment in five large-scale cohort studies.

methodsData were derived from five prospective cohorts conducted in the United States, England, Europe, China, and Korea. Univariate and multivariate Cox proportional hazards models were used to evaluate the relationship between baseline frailty and cognitive impairment. Meta-analyses were performed to synthesize the overall effect sizes across all cohorts. Trajectories of frailty were identified using latent class growth models. Univariate and multivariate logistic regression models were utilized to investigate the association between frailty trajectories and cognitive impairment.

resultsAmong the 47,429 participants included in the analyses of baseline frailty status, 8,799 developed cognitive impairment over median follow-up periods of 4.09 to 10.00 years. Compared with robust participants, pre-frail participants exhibited a significantly increased risk of cognitive impairment (adjusted hazard ratio [HR] range: 1.17 [95% confidence interval [CI]: 1.02-1.34] to 1.35 [95% CI: 1.09-1.68], pooled HR: 1.25 [95% CI: 1.18-1.33]). Similarly, frail participants showed an elevated risk of cognitive impairment (adjusted HR range: 1.55 [95% CI: 1.25-1.92] to 2.16 [95% CI: 1.72-2.72], pooled HR: 1.69 [95% CI: 1.50-1.90]). A total of 22,310 participants were included in the analyses of frailty trajectory, among whom 4,717 developed cognitive impairment. Frailty trajectories were significantly associated with cognitive impairment: higher trajectory class was linked to an elevated risk of cognitive impairment (adjusted odds ratio [OR] range: 1.45 [95% CI: 1.09-1.93] to 4.37 [95% CI: 3.43-5.59]), whereas lower trajectory class was connected to a reduced risk (adjusted OR range: 0.46 [95% CI: 0.39-0.54] to 0.72 [95% CI: 0.59-0.88]).

conclusionBaseline frailty status is associated with cognitive impairment in the broader aging populations, and frailty trajectories are linked to cognitive impairment among the surviving older adults. Early frailty screening and detection may facilitate risk stratification and improve the management of cognitive impairment in older populations.

Indexed as

Cognitive DysfunctionFrail ElderlyFrailtyAgedAged, 80 and overChinaEnglandEuropeFemaleHumansLongitudinal StudiesMaleProportional Hazards ModelsProspective StudiesUnited StatesCognitive impairmentFrailtyLatent class growth modelMulti-cohort studyTrajectories of frailty

Identifiers

PMID42595986
PMCPMC13471672

What Socratic holds

Textmetadata
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 Socratic graph.