Evidence map›Paper›PMID 35034605›Full record

ArticleBMC geriatrics2022

Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease.

Dai Zhang, Wen Tang, Li-Yang Dou, Jia Luo, Ying Sun

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  16. Frailty and Exacerbation of Chronic Obstructive Pulmonary Disease: Is There Any Association?International journal of chronic obstructive pulmonary disease · 2024
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  17. Frailty Indices and Their Importance in Elderly Patients: A Perspective Review.Journal of community hospital internal medicine perspectives · 2024
    Review
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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

5 authors.

Dai ZhangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Xicheng District, Beijing, 100050, People's Republic of China.
Wen TangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Xicheng District, Beijing, 100050, People's Republic of China.
Li-Yang DouDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Xicheng District, Beijing, 100050, People's Republic of China.
Jia LuoDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Xicheng District, Beijing, 100050, People's Republic of China. ann11121112@sina.com.
Ying SunDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Xicheng District, Beijing, 100050, People's Republic of China. ysun15@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exacerbation, hospitalization, and mortality in older patients with COPD.

methodsA total of 302 patients [median age: 86 years (IQR: 80-90), 22.2% female] were admitted to the Department of Geriatric Medicine were prospectively enrolled in this study. Frailty status was assessed using the Fried Frailty Phenotype (FFP), Clinical Frailty Scale (CFS), Frailty Index of Accumulative Deficits (FI-CD), and Short Physical Performance Battery (SPPB). Cox proportional hazard regression and Poisson regression were used to evaluating the association of the adverse outcomes with frailty as assessed using the four instruments. The discrimination accuracy of these tools in predicting the 1-year all-cause mortality was also compared.

resultsPrevalence of frailty ranged from 51% (using FFP) to 64.2% (using CFS). The four frail instruments were associated with 1-year mortality. After an average follow-up time of 2.18 years (IQR: 1.56-2.62 years), frailty as defined by four instruments (except for FI-CD), was associated with death [FFP: Hazard ratio (HR) = 3.11, 95% confidence interval (CI) 1.30-7.44; CFS: HR = 3.68, 95% CI 1.03-13.16; SPPB: HR = 3.74, 95% CI 1.39-10.06). Frailty was also associated with acute exacerbation (using FFP) and hospitalization (using FFP, CFS, and FI-CD). Frail showed a moderate predictive ability [area under the curve ranging (AUC) 0.70-0.80] and a high negative predictive value (0.98-0.99) for 1-year mortality.

conclusionsWith the four different frailty assessment tools, frailty was associated with poor prognosis in older patients with stable COPD. The FFP, CFS, FI-CD, and SPPB instruments showed similar performance in predicting 1-year mortality.

Indexed as

FrailtyPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansMaleOutcome Assessment, Health CareProspective StudiesAdverse outcomesCOPDElderlyFrailtyPredictive accuracy

Identifiers

PMID35034605
PMCPMC8761265

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Registered trials

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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.