Evidence map›Paper›PMID 40295656›Full record

ArticleScientific reports2025

A novel scoring system for heart failure screening utilizing combined electrocardiogram, phonocardiogram, and radial artery features.

Junjie Bian, Kok-Han Chee, Chengyu Liu, Hongwei Sun, Shixi Zhang, Peili Chen, Dorjee Renchen, Hua-Nong Ting

Abstract read
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 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Junjie BianDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Kok-Han CheeDepartment of Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Chengyu LiuSchool of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China.
Hongwei SunDepartment of Cardiology, Hefei BOE Hospital, Hefei, 230012, Anhui, China.
Shixi ZhangDepartment of Infectious Disease, Shangqiu Municipal Hospital, Shangqiu, 476100, Henan, China.
Peili ChenIntensive Care Unit, The First People's Hospital of Shangqiu City, Shangqiu, 476000, Henan, China.
Dorjee RenchenUniversity of Tebetan Medicine, Lhasa, 850000, Xizang, China.
Hua-Nong TingDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. tinghc20240908@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure has high prevalence and mortality all over the world, the screening of heart failure still needs improving. This study aimed to construct a risk score of early clinical detection for heart failure based on features associated with electrocardiogram (ECG), phonocardiogram (PCG), and radial artery. This study collected data of 813 participants from the First People's Hospital of Shangqiu city, between January 2023 and December 2023. All the samples were randomly divided into the training set and the testing set at a ratio of 7:3. Features selected through logistic regression and stepwise regression were included in the construction of the scoring system. The screening values of this scoring system for heart failure were verified in the testing set, with the odds ratio (OR), area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) as well as their respective 95% confidence interval (CI) for evaluation. Totally 813 participants were included in this study. Participants with heart failure had higher scores than those without. The elevation of the score was associated with increased risk of heart failure in the training set (OR = 4.461, 95%CI: 3.209-6.200) and testing set (OR = 3.854, 95%CI: 2.364-6.281). The AUC of the risk score for heart failure was 0.802 (95%CI: 0.744-0.859) in the training set and 0.762 (95%CI: 0.669-0.855) in the testing set. The risk score had good screening value for heart failure, which might provide a valuable tool for early identification of patients with heart failure and offer timely interventions for these patients to improve their prognosis.

Indexed as

ElectrocardiographyHeart FailureRadial ArteryAdultAgedFemaleHumansMaleMass ScreeningMiddle AgedPhonocardiographyElectrocardiogram (ECG)Heart failurePhonocardiogram featureRadial arteryScoring systemScreening

Identifiers

PMID40295656
PMCPMC12037712

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