Evidence map›Paper›PMID 36815958›Full record

ArticleARYA atherosclerosis2022

Cut-off values of obesity indices to predict coronary heart disease incidence by time-dependent receiver operating characteristic curve analysis in 10-year follow-up in study of Yazd Healthy Heart Cohort, Iran.

Abdollah Hozhabrnia, Sara Jambarsang, Seyedeh Mahdieh Namayandeh

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2022. 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.

0numbers the graph read from it
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

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

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

3 authors.

Abdollah HozhabrniaCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Sara JambarsangCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyedeh Mahdieh NamayandehYazd Cardiovascular Research Center, Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current study aimed to determine the optimal cut-off of obesity indices for detecting coronary heart disease (CHD) in 10-year study of Yazd Healthy Heart Cohort (YHHC) in Iran.

methodsA total of 2000 individuals aged 20-74 years were enrolled. All participants without cardiovascular disease (CVD) had a full medical check-up at the start of the study. At the start of the study, a variety of obesity indices were assessed and calculated, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), A Body Shape Index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), and body roundness index (BRI). Coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), myocardial infarction (MI), Rose Angina Questionnaire (RAQ) (chest pain) greater than 3, and electrocardiographic (ECG) changes in favour of the coronary artery disease (CAD) were considered as the CVD risks. A time-dependent receiver operating characteristic (ROC) curve with right-censored data and naive estimator was used to estimate the time-dependent sensitivity and specificity and the best cut-off of the anthropometric indices for CHD risk.

resultsOverall, 1623 participants (818 men and 805 women) with mean and standard deviation (SD) of weight of 71.21 ± 12.94 kg were included. In a 10-year follow-up, 101 [59 (58.42%) men and 42 (41.58%) women] developed CVD event. WHpR demonstrated the largest area under the time-dependent ROC curve (AUC) of 0.65 and 0.63 as well as 95% confidence interval (CI) of 58.64-72.66 and 50.74-75.55 for men and women, respectively, in predicting CVD. Optimal WHpR cut-off was 0.93 and 0.92, respectively, for men and women.

conclusionWHpR index was superior to other obesity indices in predicting CHD.

Indexed as

AnthropometryCardiovascular DiseasesROC Curve

Identifiers

PMID36815958
PMCPMC9931948

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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.