Evidence map›Paper›PMID 32054866›Full record

ArticleScientific reports2020

Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty.

Yi-Sheng Chao, Chao-Jung Wu, Hsing-Chien Wu, Hui-Ting Hsu, Lien-Cheng Tsao, Yen-Po Cheng, Yi-Chun Lai, Wei-Chih Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

8 authors at 5 institutions in 2 countries.

Yi-Sheng ChaoIndependent researcher, Québec, Canada.
Chao-Jung WuDépartement d'informatique, Université du Québec à Montréal, Québec, Canada.
Hsing-Chien WuDepartment of Internal Medicine, Taipei Hospital, Ministry of Health and Welfare, New Taipei City, Taiwan.
Hui-Ting HsuDepartment of Surgery, Changhua Christian Hospital, Changhua County, Taiwan.
Lien-Cheng TsaoDepartment of Surgery, Changhua Christian Hospital, Changhua County, Taiwan.
Yen-Po ChengDepartment of Surgery, Changhua Christian Hospital, Changhua County, Taiwan.
Yi-Chun LaiDivision of Chest Medicine, Department of Internal Medicine, National Yang-Ming, University Hospital, Yi-Lan, Taiwan.
Wei-Chih ChenDepartment of Chest Medicine, Taipei Veterans General Hospital, Faculty of Medicine and Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan. wiji.chen@gmail.com.
Changhua Christian Hospital · TWNational Yang Ming University Hospital · TWTaipei Hospital · TWTaipei Veterans General Hospital · TWUniversité du Québec à Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Composite diagnostic criteria are common in frailty research. We worry distinct populations may be linked to each other due to complicated criteria. We aim to investigate whether distinct populations might be considered similar based on frailty diagnostic criteria. The Functional Domains Model for frailty diagnosis included four domains: physical, nutritive, cognitive and sensory functioning. Health and Retirement Study participants with two or more deficiencies in the domains were diagnosed frail. The survival distributions were analyzed using discrete-time survival analysis. The distributions of the demographic characteristics and survival across the groups diagnosed with frailty were significantly different (p < 0.05). A deficiency in cognitive functioning was associated with the worst survival pattern compared with a deficiency in the other domains (adjusted p < 0.05). The associations of the domains with mortality were cumulative without interactions. Cognitive functioning had the largest effect size for mortality prediction (Odds ratios, OR = 2.37), larger than that of frailty status (OR = 1.92). The frailty diagnostic criteria may take distinct populations as equal and potentially assign irrelevant interventions to individuals without corresponding conditions. We think it necessary to review the adequacy of composite diagnostic criteria in frailty diagnosis.

Indexed as

AgedAged, 80 and overCognitionFemaleFrailtyGeriatric AssessmentHumansMaleRetirementSurvival Analysis

Identifiers

PMID32054866
PMCPMC7018968
OpenAlexW3006284282

What OpenQuestion 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 OpenQuestion graph.