Evidence map›Paper›PMID 36097515›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2022

Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study.

Nima Motamed, Farzin Roozafzai, Mahmood Reza Khoonsari, Mojtaba Malek, Alborz Mahdavi, Mansooreh Maadi, Maral Ahmadi, Mohammad Hadi Karbalaie Niya, Mohammad Reza Babaei, Fahimeh Safarnezhad Tameshkel and 5 more

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Nima MotamedDepartment of Social Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Farzin RoozafzaiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mahmood Reza KhoonsariGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mojtaba MalekResearch Center for Prevention of Cardiovascular diseases, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Alborz MahdaviSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mansooreh MaadiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Maral AhmadiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Hadi Karbalaie NiyaGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Reza BabaeiDepartment of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Fahimeh Safarnezhad TameshkelGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Amir Hossein FarajiGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mehdi NikkhahGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ramin EbrahimiDepartment of Radiology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Hossein AjdarkoshGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
Farhad ZamaniGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, most people die from cardiovascular diseases. We aimed to compare predictive ability of six obesity indices, including body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, and abdominal volume index, to identify people at risk of fatal and non-fatal cardiovascular events, in a cohort study. Methods: We studied 5147 participants in a baseline population-based cohort study conducted in northern Iran. The obesity measures were calculated in enrollment phase (2009-2010), and the cardiovascular events were recorded during a 7-year follow-up phase (2010-2017). Receiver operating characteristic (ROC) analyses and Cox hazard regression models were applied, considering the obesity measures as predictors, and the 7-year cardiovascular events as outcomes. Multiple Cox models were adjusted by age, prior history of cardiovascular diseases, chronic kidney diseases, insulin resistance, diabetes mellitus, dyslipidemia, hypertension, and smoking status. Results: Conicity index showed the highest performance in predicting 7-year fatal and non-fatal cardiovascular events with areas under the ROC curve of 0.77 [95% confidence interval: 0.71-0.82], and 0.63 [0.59-0.68] in men, and 0.80 [0.74-0.87], and 0.65 [0.60-0.71] in women, respectively. In multiple Cox models, the obesity measures had no significant associations with cardiovascular events in women. In men, only waist-to-height ratio was independently associated with 7-year non-fatal cardiovascular events (hazard ratio: 1.19 [95% confidence interval: 1.01-1.38]). Conclusions: Although waist-to-height ratio had an independent association with 7-year non-fatal cardiovascular events in men, conicity index showed the best ability to predict 7-year fatal and non-fatal cardiovascular events in our study.

Indexed as

Cardiovascular diseaseObesityPredictive ability

Identifiers

PMID36097515
PMCPMC9463460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.