Evidence map›Paper›PMID 28397943›Full record

ArticleSaudi medical journal2017

Anthropometric and central obesity indices as predictors of long-term cardiometabolic risk among Saudi young and middle-aged men and women.

Mahmoud M A Abulmeaty, Ali M Almajwal, Najwa K Almadani, Mona S Aldosari, Ahmed A Alnajim, Saeed B Ali, Heba M Hassan, Hany A Elkatawy

Registry-linked trialAbstract read
In one paragraph

Article in Saudi medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04323228 (Anti-inflammatory/Antioxidant Oral Nutrition Supplementation on the Cytokine Storm and Progression of COVID-19), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT04323228 phase2 / phase3unknown statusnot on this mapstarted 2020, after this paper: background citation

Anti-inflammatory/Antioxidant Oral Nutrition Supplementation on the Cytokine Storm and Progression of COVID-19: A Randomized Controlled Trial

TypeinterventionalSponsorKing Saud UniversityRan2020 to 2020Enrolled40ConditionsCOVID-19ArmsOral supplement enriched in antioxidants, cellulose-containing placebo capsules
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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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

8 authors.

Mahmoud M A AbulmeatyClinical Nutrition Program, Community Health Sciences Department, King Saud University, Riyadh, Kingdom of Saudi Arabia. E-mail. dr.abulmeaty@gmail.com.
Ali M Almajwal
Najwa K Almadani
Mona S Aldosari
Ahmed A Alnajim
Saeed B Ali
Heba M Hassan
Hany A Elkatawy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prediction of long-term cardiometabolic risk using anthropometric and central obesity parameters.  Methods: A total of 390 Saudi subjects (men 42.8%) aged 18-50 years were enrolled in a cross-sectional study in King Saud University, Riyadh, Kingdom of Saudi Arabia between August 2014 and  January 2016. All   participants were instructed to fast for 12 hours before taking blood samples for glucose and lipid panel analyses. A full anthropometric measurement and bioelectric impedance analysis was performed. The anthropometric and central obesity parameters were used for correlation with 30-year Framingham and life-time American College of Cardiology/American Heart Association risk scores. We used receiver operator characteristic curves to select the best predictors with the highest sensitivity and specificity. Results: The best discriminators of the long-term cardiometabolic risk among all the studied variables in men were the visceral adiposity index (VAI) (AUC=0.767), conicity index (CI) (AUC=0.817), and mid-arm muscular area (MAMA) (AUC=0.639). The best predictors for women were body mass index (AUC=0.912), waist circumference (AUC=0.752), and lipid accumulation product (AUC=0.632). The Kappa coefficient and 95% confidence interval ranged from 0.1 to 0.35, which suggests that there is a poor to fair agreement between these indices and cardiovascular risk scores.   Conclusion: Long-term cardiometabolic risk can be predicted using simple anthropometric and central obesity indices, and these discriminators were not the same in Saudi men and women.

Indexed as

AnthropometryAdiposityAdolescentAdultBlood GlucoseBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityRisk FactorsSaudi ArabiaBlood Glucose

Identifiers

PMID28397943
PMCPMC5447189

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LicenceCC BY-NC-SA
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Registered trials

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.