Evidence map›Paper›PMID 40221594›Full record

ArticleScientific reports2025

The clinical frailty scale improves risk prediction in older emergency department patients: a comparison with qSOFA, NEWS2, and REMS.

Ho Sub Chung, Yunhyung Choi, Ji Yeon Lim, Keon Kim, Yoon Hee Choi, Dong Hoon Lee, Sung Jin Bae

Abstract readMulticenter StudyComparative Study
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 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. [Frailty in intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
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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

7 authors.

Ho Sub ChungDepartment of Emergency Medicine, College of Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University, 110, Deokan-ro, Gwangmyeong-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0001-8141-3867
Yunhyung ChoiDepartment of Emergency Medicine, College of Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University, 110, Deokan-ro, Gwangmyeong-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0009-0000-4547-9535
Ji Yeon LimDepartment of Emergency Medicine, College of Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University, 260, Gonghang-daero, Gangseo-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8747-5508
Keon KimDepartment of Emergency Medicine, College of Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University, 260, Gonghang-daero, Gangseo-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5174-833X
Yoon Hee ChoiDepartment of Emergency Medicine, College of Medicine, Ewha Womans University Mokdong Hospital, Ewha Womans University, 1071, Anyangcheon-ro, Yangcheon-gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-5807-748X
Dong Hoon LeeDepartment of Emergency Medicine, College of Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University, 110, Deokan-ro, Gwangmyeong-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0003-4306-8649
Sung Jin BaeDepartment of Emergency Medicine, College of Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University, 110, Deokan-ro, Gwangmyeong-si, Gyeonggi-do, Republic of Korea. uzimuz85@gmail.com.ORCID http://orcid.org/0000-0002-2871-3323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vital signs are essential for monitoring and prognostication in the emergency department (ED); however, they may not fully capture the complexity of frailty in older adults. In this multicenter retrospective study of 932 older patients who visited the EDs of three tertiary university hospitals between August 1 and October 31, 2023, we investigated the prognostic value of the Clinical Frailty Scale (CFS) in older patients in the ED and its potential to improve existing vital sign-based scoring systems. The primary outcomes were hospital admission, intensive care unit (ICU) admission, and in-hospital mortality. The AUROC was used to evaluate and compare the predictive performance of CFS, qSOFA, NEWS2, and REMS scores individually and in combination. Combining the CFS with these scores significantly improved predictive accuracy compared to individual scores alone. For hospital admission, the AUROCs were 0.715 (95% CI 0.685-0.744), 0.723 (95% CI 0.693-0.752), and 0.688 (95% CI 0.657-0.718) for CFS + qSOFA, CFS + NEWS2, and CFS + REMS, respectively. For ICU admission, the AUROCs were 0.730 (95% CI 0.701-0.759), 0.714 (95% CI 0.684-0.743), and 0.707 (95% CI 0.677-0.736), respectively. For in-hospital mortality, the AUROCs were 0.798 (95% CI: 0.771-0.823), 0.774 (95% CI: 0.746-0.801), and 0.819 (95% CI: 0.793-0.843), respectively, indicating excellent performance. Incorporating frailty assessment using the CFS enhances risk stratification in older patients in the ED by complementing vital sign-based scores. This provides a more comprehensive assessment, enabling better informed clinical decisions. This study supports employing routine frailty assessment in the ED and the development of enhanced risk stratification tools that incorporate frailty.

Indexed as

Emergency Service, HospitalFrailtyGeriatric AssessmentAgedAged, 80 and overFemaleFrail ElderlyHospitalizationHospital MortalityHumansIntensive Care UnitsMalePrognosisRetrospective StudiesRisk AssessmentClinical frailty scale (CFS)Emergency department (ED)Older peoplePrognostic scoring systemsRisk stratification

Identifiers

PMID40221594
PMCPMC11993572

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.