Evidence map›Paper›PMID 40468183›Full record

ArticleBMC geriatrics2025

Inflammatory markers and clinical factors as key independent risk factors for frailty: a retrospective study.

Mengying Zeng, Yuanyuan Li, Yuchen Zhu, Ying Sun

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

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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

4 authors.

Mengying ZengDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Yuanyuan LiDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong'an Road, Xicheng District, Beijing, 100050, China.
Yuchen ZhuSchool of Information Engineering, China University of Geosciences, Beijing, China.
Ying SunDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong'an Road, Xicheng District, Beijing, 100050, China. ysun15@163.com.

Funding

National Science and Technology Major Project 2021ZD011100
6 · The paper itself

Abstract

BACKGROUND AND

objectiveFrailty in older adults leads to falls, disability, hospitalization, and death. Identifying frail individuals is a crucial means to delay the onset of adverse results. Chronic inflammation plays a key role in the onset and progression of frailty. Our study aims to explore the relationship between inflammatory markers and frailty in older adults, thereby contributing to more accurate assessments of frailty.

methodsWe included 4,097 cases aged ≥ 60 years admitted to the Geriatrics Department of Beijing Friendship Hospital between July 17, 2018 and February 27, 2024, 800 cases were ultimately included. Patients were divided into non-frail, pre-frail, and frail groups based on the Fried frailty phenotype. Logistic regression analyses were performed using "Python's statsmodels library" to identify risk factors. "The Sklearn library" was used to assess the predictive power of these factors.

resultsTwo hundred five individuals were identified as frail. Independent risk factors for frailty included age, coronary artery disease (CAD), old cerebral infarction (OCI), neutrophil, neutrophil to lymphocyte rate (NLR), high-sensitivity C-reactive protein (hs-CRP), albumin, fibrinogen to albumin ratio (FAR) and erythrocyte sedimentation rate (ESR). Receiver operating characteristic curve analysis of age, CAD, OCI, neutrophils, NLR, hs-CRP, albumin, FAR, and ESR showed AUCs of 0.851 and 0.841 for logistic regression and random forest models.

conclusionInflammatory markers such as NLR, hs-CRP, FAR, and ESR, along with age, OCI, and CAD, were key independent risk factors for frailty. Incorporating these factors into predictive models could enhance frailty prediction.

Indexed as

Frail ElderlyFrailtyInflammationAgedAged, 80 and overBiomarkersC-Reactive ProteinFemaleGeriatric AssessmentHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersC-Reactive ProteinFrailtyFried frailty phenotypeInflammatory makersRisk factors

Identifiers

PMID40468183
PMCPMC12135400

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LicenceCC BY-NC-ND
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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.