Evidence map›Paper›PMID 38424593›Full record

ArticleJournal of health, population, and nutrition2024

Association between obesity and new-onset heart failure among patients with hypertension in Thailand.

Boonsub Sakboonyarat, Jaturon Poovieng, Ram Rangsin

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Boonsub SakboonyaratDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Jaturon PooviengPulmonary and Critical Care Division, Department of Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Ram RangsinDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand. r_rangsin@yahoo.com.
Phramongkutklao College of MedicinePhramongkutklao Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Thailand, the epidemiological data on the relationship between obesity and heart failure (HF) among high-risk populations was limited. We assessed the association between body mass index (BMI) and the new-onset HF among people with hypertension (HTN), and also assessed the effect modifier of uncontrolled HTN on this association.

methodsWe analyzed the data obtained from the 2018 Thailand DM/HT study database. Thai people with HTN aged 20 years and older receiving continuous care at outpatient clinics in hospitals nationwide were included. The new-onset HF was defined regarding the ICD-10 as I50 in the medical records within 12 months. Obesity was defined as BMI

resultsA total of 35,756 participants were included in the analysis. In all, 50.0% of the participants had BP control for the last two consecutive visits. The mean BMI was 25.1

conclusionAn increased BMI had a higher risk for new-onset HF among Thai people with HTN. Obesity was independently associated with new-onset HF among people with HTN, regardless of uncontrolled HTN. Our findings highlight that weight reduction is crucial for mitigating the risk of HF development in HTN patients, regardless of their BP control status.

Indexed as

Heart FailureHypertensionBody Mass IndexHumansObesityRisk FactorsThailandBody mass indexHeart failureHypertensionObesityThailand

Identifiers

PMID38424593
PMCPMC10905941
OpenAlexW4392297291

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.