Evidence map›Paper›PMID 39375399›Full record

ArticleScientific reports2024

Steps to developing a DXA-based risk score for cardiovascular outcomes among older adults: the health, aging, and body composition study.

Lihui Chen, Xinran Wang, Tian-Ze Lin, Hao Xiang, Hua Liu, Shen Xu, Jirong Yue, Chenkai Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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.

Lihui Chen *Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Xinran Wang *Global Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Tian-Ze LinGlobal Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Hao XiangDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Hua LiuDepartment of Neurosurgery, The Affiliated Kunshan Hospital of Jiangsu University, Suzhou, Jiangsu, China.
Shen XuDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jirong YueDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chenkai WuGlobal Health Research Center, Duke Kunshan University, Academic Building 3038, 8 Duke Avenue, Kunshan, 215316, Jiangsu, China. chenkai.wu@dukekunshan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a major chronic disease worldwide and its risk factors have long been investigating in epidemiological studies. Our study aims to develop a body composition-based risk score and integrate it into the Framingham Risk Score (FRS) to improve CVD prediction among well-functioning older adults. We included 1882 older adults from the Health, Aging and Body Composition (Health ABC) study to screen body composition variables obtained from the Dual-energy X-ray absorptiometry (DXA). Three models were developed and compared: the 4-DXA model, the refit FRS, and the refit FRS plus 4-DXA model. C-statistics were 0.62 (95% CI: 0.59, 0.65) for the refit FRS, 0.58 (95% CI: 0.55, 0.61) for the 4-DXA model, and 0.63 (95% CI: 0.60, 0.66) for the refit FRS plus 4-DXA model. Compared to the refit FRS, the refit FRS plus 4-DXA model slightly improved CVD outcome prediction as the discrimination slope, net reclassification index, and the integrated discrimination index were 0.053 (95% CI: 0.041, 0.066), 0.098 (95% CI = - 0.0033, 0.20) and 0.013 (95% CI: 0.0069-0.019). This study provides a model for more accurate risk stratification and draws more attention on DXA-based indices in the clinical setting. It also encourages further research in validating the developed risk score in more diverse population and in investigating a broader range of CVD risk factors.

Indexed as

Absorptiometry, PhotonBody CompositionCardiovascular DiseasesAgedAged, 80 and overAgingFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsBody composition indicesCardiovascular diseaseDual-energy X-ray absorptiometryFramingham risk scoreOlder adults

Identifiers

PMID39375399
PMCPMC11458873

What Socratic holds

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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 Socratic graph.