Evidence map›Paper›PMID 42662810›Full record

ArticleiScience2026

Co-evolving adiposity and frailty trajectories shape stroke risk in middle-aged and older adults.

Zheng-Jun Wu, Qian-Hui Hu, Ming-Fang He, Qiu-Xia Liang, Jin-Rong Zhang, Hong Liu

Abstract read
In one paragraph

Article in iScience, 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

6 authors.

Zheng-Jun WuDepartment of Cerebrovascular Disease, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.
Qian-Hui HuDepartment of Anesthesiology, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.
Ming-Fang HeDepartment of Cerebrovascular Disease, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.
Qiu-Xia LiangDepartment of Cerebrovascular Disease, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.
Jin-Rong ZhangDepartment of Cerebrovascular Disease, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.
Hong LiuDepartment of Cerebrovascular Disease, Guang Yuan Central Hospital, No. 16 Jin Xiang Zi, Li Zhou District, Guangyuan, Sichuan Province 628000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and frailty are independently associated with stroke risk, but their joint longitudinal evolution and combined prognostic significance remain unclear. Using harmonized data from four nationally representative aging cohorts (China health and retirement longitudinal study [CHARLS], health and retirement study [HRS], English longitudinal study of aging [ELSA], and survey of health, aging and retirement in Europe [SHARE]), we applied group-based multi-trajectory modeling to 41,717 stroke-free participants aged ≥45 years to identify distinct joint body mass index (BMI)-frailty index trajectories. Five trajectory subgroups were identified in each cohort. Over a median follow-up of 11.0 years, the obesity and high-frailty group consistently demonstrated the highest stroke risk across all cohorts (hazard ratios [HRs], 2.86-7.87), whereas the overweight and low-frailty group showed protective associations (HRs, 0.42-0.60). High frailty was the dominant risk modifier within each BMI category. These findings were robust across extensive sensitivity analyses and indicate that joint BMI-frailty trajectory assessment provides superior stroke risk stratification compared with either measure alone.

Indexed as

cohort studyfrailtyobesitystroketrajectory modelling

Identifiers

PMID42662810
PMCPMC13520624

What OpenQuestion 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 OpenQuestion graph.