Evidence map›Paper›PMID 29238477›Full record

ArticleElectronic physician2017

Prevalence of metabolic syndrome in Iran: A meta-analysis.

Rahim Ostovar, Faezeh Kiani, Fatemeh Sayehmiri, Masood Yasemi, Yazdan Mohsenzadeh, Yousof Mohsenzadeh

Open access · goldAbstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 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

6 authors at 6 institutions in 1 country.

Rahim OstovarPhD, Associate Professor, Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Faezeh KianiMsc, Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran.
Fatemeh SayehmiriPhD, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masood YasemiMD, Poostchi Ophthalmology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Yazdan MohsenzadehMSc, Department of Paramedical Sciences, Faculty of Emergency Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Yousof MohsenzadehMD, Assistant Professor, Department of Cardiology, School of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Alborz University of Medical SciencesIlam University · IRMedical University of Ilam · IRShahid Beheshti University of Medical Sciences · IRShiraz University of Medical Sciences · IRYasuj University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome) MetS( is a complex risk factor which increases the risk of cardiovascular diseases and type 2 diabetes. There are many studies with various populations and results about the prevalence of MetS in Iran; in order to authenticate these studies and have an overall estimation of its prevalence in Iran, performing a meta-analysis seems to be necessary.

objectiveThis study aimed to investigate the prevalence of MetS and its components in Iran via meta-analysis method.

methodsAll associated published papers in national and international journals of PubMed, Scopus, Web of Science, Magiran, Iranmedex, Science Direct, Medlib, and SID databases were searched from January, 2000 to October, 2016. All types of studies, including local and national surveys that reported the prevalence of MetS among healthy populations in Iran were reviewed. The effects of age, sample size and publication date as possible sources of heterogeneity among the study findings was examined by meta-regression. P-values less than 0.05 were considered as significant in heterogeneity tests. All analysis was done by R Ver. 3.2.1 and STATA (version 10).

resultsSeventy eligible studies were selected for meta-analysis. The overall estimation of MetS prevalence was 25% (95% CI: 22-29%) based on the Adult Treatment Panel III (ATP III) criteria, 30% (95% CI: 25-36%) according to the International Diabetes Federation (IDF), and 39% (95% CI: 26-52%) based on the Joint Interim Societies (JIS) criteria. The prevalence of MetS was lower in men than in women (26.9% versus 35.7%). The prevalence of various MetS components including High TG (triglyceride), Low HDL-C, High BP and High FBS (fasting blood sugar) was 43%, 54%, 38% and 22% among the adult population.

conclusionFindings from the present meta-analyses study displayed a high prevalence of metabolic syndrome in Iran, especially in women, which increases with age in both sexes. It alerts health care providers and policy makers to find solutions in order to take action to reduce MetS risk in society.

Indexed as

ComponentsDysmetabolic syndromeIranMeta-analysisPopulation groupsPrevalence

Identifiers

PMID29238477
PMCPMC5718841
OpenAlexW2762244669

What Socratic 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 Socratic graph.