Evidence map›Paper›PMID 40295628›Full record

ArticleScientific reports2025

Path analysis of predictors of frailty in hospitalised patients with chronic obstructive pulmonary disease.

Heyue Jiang, Longfang Pan, Yuanyuan Yang, Yueling Hong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Heyue JiangNursing Department, The First Affiliated Hospital of Chongqing Medical University, Medical College Road, Chongqing, 400016, China.
Longfang PanDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Medical College Road, Chongqing, 400016, China.
Yuanyuan YangNursing Department, The First Affiliated Hospital of Chongqing Medical University, Medical College Road, Chongqing, 400016, China.
Yueling HongDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Medical College Road, Chongqing, 400016, China. 523364785@qq.com.

Funding

the Key Discipline Construction Project of the School of Nursing, Chongqing Medical University 20240301the Nursing Research and Innovation Project of the First Affiliated Hospital of Chongqing Medical University HLYB2024--04
6 · The paper itself

Abstract

Frailty is highly prevalent in elderly patients with chronic obstructive pulmonary disease (COPD), contributing to poor clinical outcomes and reduced quality of life. To examine the effects of grip strength, CAT score, multimorbidity, GOLD stage, and age on frailty for hospitalised elderly with COPD through path analysis. This cross-sectional study used convenience sampling to select 283 hospitalised patients from March to August 2024. Path analysis explored the direct and indirect effects among grip strength, CAT score, multimorbidity, GOLD stage, and age. Grip strength was measured with a digital dynamometer, CAT score assessed disease impact, multimorbidity was based on patient-reported diagnoses, and GOLD stage was determined by pulmonary function tests. Among 283 hospitalised elderly COPD patients, the prevalence of frailty was 33.92%. The path analysis model showed good fit (χ

Indexed as

FrailtyPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overCross-Sectional StudiesFemaleHand StrengthHospitalizationHumansMaleMultimorbidityPrevalenceQuality of LifeChronic obstructive pulmonary diseaseFrailty factorsHospitalised patients

Identifiers

PMID40295628
PMCPMC12037781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.