Evidence map›Paper›PMID 38686888›Full record

ArticleJournal of the American Heart Association2024

High Variability of Body Mass Index Is Independently Associated With Incident Heart Failure.

Chang Liu, Yiyun Chiang, Qin Hui, Jin J Zhou, Peter W F Wilson, Jacob Joseph, Yan V Sun

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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

5 · Who and what money

Authors and funding

7 authors.

Chang LiuDepartment of Epidemiology Emory University Rollins School of Public Health Atlanta GA.ORCID 0000-0002-8918-7224
Yiyun ChiangDepartment of Epidemiology Emory University Rollins School of Public Health Atlanta GA.ORCID 0009-0006-1781-2824
Qin HuiDepartment of Epidemiology Emory University Rollins School of Public Health Atlanta GA.ORCID 0000-0002-8421-3518
Jin J ZhouDepartment of Medicine and Biostatistics University of California Los Angeles CA.ORCID 0000-0001-7983-0274
Peter W F WilsonAtlanta VA Health Care System Decatur GA.ORCID 0000-0002-5653-7056
Jacob JosephVA Providence Healthcare System Providence RI.ORCID 0000-0002-7279-4896
Yan V SunDepartment of Epidemiology Emory University Rollins School of Public Health Atlanta GA.ORCID 0000-0002-2838-1824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) is a serious condition with increasing prevalence, high morbidity, and increased mortality. Obesity is an established risk factor for HF. Fluctuation in body mass index (BMI) has shown a higher risk of cardiovascular outcomes. We investigated the association between BMI variability and incident HF. METHODS AND

resultsIn the UK Biobank, we established a prospective cohort after excluding participants with prevalent HF or cancer at enrollment. A total of 99 368 White participants with ≥3 BMI measures during >2 years preceding enrollment were included, with a median follow-up of 12.5 years. The within-participant variability of BMI was evaluated using standardized SD and coefficient of variation. The association of BMI variability with incident HF was assessed using Fine and Gray's competing risk model, adjusting for confounding factors and participant-specific rate of BMI change. Higher BMI variability measured in both SD and coefficient of variation was significantly associated with higher risk in HF incidence (SD: hazard ratio [HR], 1.05 [95% CI, 1.03-1.08],

conclusionsLongitudinal health records capture BMI fluctuation, which independently predicts HF incidence.

Indexed as

Body Mass IndexHeart FailureObesityAdultAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsTime FactorsUnited Kingdombody mass indexheart failureheart failure incidence

Identifiers

PMID38686888
PMCPMC11179915

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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.