Evidence map›Paper›PMID 39624611›Full record

ArticleInternational journal of general medicine2024

The Usefulness of New Body Indices in Determining the Risk of Cardiovascular Disease in Cases with Obstructive Sleep Apnea Syndrome.

Mihrican Yeşildağ, Zühal Şentürk, Taha Tahir Bekci, İbrahim Guney

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Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

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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

8 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

4 authors.

Mihrican YeşildağDepartment of Chest Diseases S.B University Konya Training and Research Hospital, Konya, Turkey.ORCID 0000-0003-4198-810X
Zühal ŞentürkDepartment of Chest Diseases S.B University Konya Training and Research Hospital, Konya, Turkey.
Taha Tahir BekciDepartment of Chest Diseases S.B University Konya Training and Research Hospital, Konya, Turkey.
İbrahim GuneyDepartment of Nephrology, S.B University Konya Training and Research Hospital, Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Obstructive Sleep Apnea Syndrome (OSAS) is considered a notable independent risk factor for cardiometabolic disorders. The current study aimed to investigate the efficacy of new anthropometric indices, A Body Shape Index (ABSI) and the Body Roundness Index (BRI), in assessing cardiovascular risk (CVR) and cardiovascular disease (CVD) among OSAS patients and to compare them with traditional indices. Materials and Methods: The records of 281 patients who consulted our sleep center were retrospectively reviewed. Patients were categorized according to OSA severity using AHI values. They were also classified based on cardiovascular conditions (CVR and CVD). ABSI, BRI, and traditional indices [such as body mass index (BMI), neck circumference (NC)] of the patient groups were evaluated. Results: Of the 281 patients recruited, 218 (77.6%) were diagnosed with OSAS. The distribution of cardiovascular conditions among the OSAS patients was: CVD (20%), CVR (39.8%), and control (40.2%). The new index BRI (Odds ratio-OR: 2.641, 95% CI: 1.24-5.62) has shown better predictive ability for CVR compared to traditional measures, while NC (OR: 1.320, 95% CI: 1.09-1.60) was the only predictor of CVD. Additionally, the BRI had a higher AUC value (0.656) than traditional indices in terms of diagnostic performance in distinguishing CVR. Another new index ABSI was not found to be significant in evaluating cardiovascular conditions. Conclusion: BRI, one of the new indices, is a useful anthropometric parameter in the CVR assessment of OSAS patients, offering better predictive ability than traditional measurements.

Indexed as

abdominal obesityanthropometric indicesbody roundness indexcardiovascular diseasecardiovascular riskobstructive sleep apnea syndrome

Identifiers

PMID39624611
PMCPMC11609410

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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.