Evidence map›Paper›PMID 38024331›Full record

ArticleInnovation in aging2023

Longitudinal Changes of Cognition and Frailty With All-Cause and Cause-Specific Mortality in Chinese Older Adults: An 11-Year Cohort Study.

Chen Chen, Xinwei Li, Jun Wang, Jinhui Zhou, Yuan Wei, Yufei Luo, Lanjing Xu, Zuyun Liu, Yuebin Lv, Xiaoming Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Innovation in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Chen ChenChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID https://orcid.org/0000-0002-8412-2966
Xinwei LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jun WangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinhui ZhouChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuan WeiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yufei LuoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Lanjing XuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Zuyun LiuSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-6120-5913
Yuebin LvChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaoming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Physical function deterioration is always accompanied by a cognitive decline in older adults. However, evidence is lacking for the long-term simultaneous changing patterns of cognition and physical frailty and their associations with mortality among older adults. Research Design and Methods: This study included 8,231 adults aged ≥65 with a baseline and at least one follow-up assessment of both cognition and physical frailty from the 2007-2018 Chinese Longitudinal Healthy Longevity Survey. Physical frailty (FRAIL phenotype) and cognition (Mini-Mental State Examination) were applied. Group-based joint trajectory modeling was used to fit the joint trajectories of cognition and physical frailty. Cox proportional hazards model was used to evaluate the trajectory-mortality associations. Results: Three distinct joint trajectories were identified: Discussion and Implications: Our study suggested that subjects with the worst cognitive decline and severest physical frailty progression were at the highest risk for all-cause and cause-specific mortality. Our findings expand the limited prior knowledge on the dynamic course of cognition and frailty.

Indexed as

Cardiovascular diseaseCognitionMortalityPhysical frailtyTrajectory

Identifiers

PMID38024331
PMCPMC10681360
OpenAlexW4387701126

What Socratic 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 Socratic graph.