Evidence map›Paper›PMID 39979798›Full record

ArticleBMC cardiovascular disorders2025

Interacting and joint effects of frailty and inflammation on cardiovascular disease risk and the mediating role of inflammation in middle-aged and elderly populations.

Zihan Xu, Yingbai Wang, Xiaolin Li, Xuefei Hou, Suru Yue, Jia Wang, Shicai Ye, Jiayuan Wu

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
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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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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

14 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

8 authors.

Zihan Xu *Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Yingbai Wang *Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Xiaolin LiClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Xuefei HouClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Suru YueClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Jia WangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China.
Shicai YeDepartment of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China. caizi23@126.com.
Jiayuan WuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, 524001, China. wujiay@gdmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty and inflammation may increase the risk of cardiovascular disease (CVD), but their interacting and joint effects on CVDs remain unclear. To explore the interaction effects of frailty and inflammation on CVDs and the role of inflammation in the relationship between frailty and CVDs to provide better understanding of the underlying pathogenesis of CVD.

methodsA total of 220,608 initially CVD-free participants were recruited from the UK Biobank database and were categorized into non-frailty, pre-frailty, and frailty groups based on Fried's criteria. The participants were also grouped according to the low-grade inflammation (INFLA) score and its components: the neutrophil-lymphocyte ratio, C-reactive protein, white blood cell count, and platelet count. Cox proportional hazards models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to assess the effects of frailty phenotypes and inflammation on CVD risk. Mediation analysis was used to quantify the role of inflammation in the association between frailty and CVDs. The potential interactions between frailty and inflammation in terms of CVD risk were also evaluated using additive and multiplicative scales.

resultsDuring a median follow-up of 13.3 years, 48,978 participants developed CVDs. After adjusting for various confounders, participants with pre-frailty and frailty had a higher risk of CVDs than those with non-frailty (HRs: 1.20 (95% CI: 1.18-1.23) and 1.80 (95% CI: 1.69-1.91), respectively). A higher risk of CVDs was observed among participants with moderate and high INFLA scores than those with low INFLA scores (HRs: 1.09 (95% CI: 1.07-1.12) and 1.27 (95% CI: 1.24-1.30), respectively). The INFLA score and its components had limited mediating effects in the association between frailty and CVDs. Significant interactions were observed between frailty phenotypes and INFLA scores on CVDs on the multiplicative scale but not on the additive scale.

conclusionInflammation may amplify the harmful effect of frailty on the incidence of CVDs. Improving frailty alone might not substantially reduce the risk of CVDs, but effectively controlling inflammation might help to reduce the negative effects of frailty on cardiovascular health.

Indexed as

Cardiovascular DiseasesFrail ElderlyFrailtyInflammationInflammation MediatorsAgedAge FactorsBiomarkersDatabases, FactualFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPhenotypePrognosisBiomarkersInflammation MediatorsCardiovascular diseasesFrailtyInflammationInteractionMediation analysis

Identifiers

PMID39979798
PMCPMC11841180

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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.