Evidence map›Paper›PMID 37550602›Full record

ArticleBMC geriatrics2023

Prediction of adverse health outcomes using an electronic frailty index among nonfrail and prefrail community elders.

Kun-Pei Lin, Hsin-Yi Li, Jen-Hau Chen, Feng-Ping Lu, Chiung-Jung Wen, Yi-Chun Chou, Meng-Chen Wu, Ding-Cheng Derrick Chan, Yung-Ming Chen

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Article in BMC geriatrics, 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
–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

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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.

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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

9 authors.

Kun-Pei LinDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Hsin-Yi LiSchool of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Jen-Hau ChenDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Feng-Ping LuDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Chiung-Jung WenDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Yi-Chun ChouDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Meng-Chen WuDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Ding-Cheng Derrick ChanDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Yung-Ming ChenDepartment of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan. yungmingchen@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly recognition of older people at risk of undesirable clinical outcomes is vital in preventing future disabling conditions. Here, we report the prognostic performance of an electronic frailty index (eFI) in comparison with traditional tools among nonfrail and prefrail community-dwelling older adults. The study is to investigate the predictive utility of a deficit-accumulation eFI in community elders without overt frailty.

methodsParticipants aged 65-80 years with a Clinical Frailty Scale of 1-3 points were recruited and followed for 2 years. The eFI score and Fried's frailty scale were determined by using a semiautomated platform of self-reported questionnaires and objective measurements which yielded cumulative deficits and physical phenotypes from 80 items of risk variables. Kaplan-Meier method and Cox proportional hazards regression were used to analyze the severity of frailty in relation to adverse outcomes of falls, emergency room (ER) visits and hospitalizations during 2 years' follow-up.

resultsA total of 427 older adults were evaluated and dichotomized by the median FI score. Two hundred and sixty (60.9%) and 167 (39.1%) elders were stratified into the low- (eFI ≤ 0.075) and the high-risk (eFI > 0.075) groups, respectively. During the follow-up, 77 (47.0%) individuals developed adverse events in the high-risk group, compared with 79 (30.5%) in the low-risk group (x

conclusionThe eFI system is a useful frailty tool which effectively predicts the risk of adverse healthcare outcomes in nonfrail and/or prefrail older adults over a period of 2 years.

Indexed as

FrailtyAgedFrail ElderlyGeriatric AssessmentHumansOutcome Assessment, Health CareProportional Hazards ModelsClinical frailty scaleEmergency room visitsFallsFrailtyFrailty indexFrailty phenotypeHospitalizations

Identifiers

PMID37550602
PMCPMC10408173

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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.