Evidence map›Paper›PMID 29499672›Full record

SynthesisBMC public health2018

Prevalence of metabolic syndrome in Bangladesh: a systematic review and meta-analysis of the studies.

Mohammad Ziaul Islam Chowdhury, Ataul Mustufa Anik, Zaki Farhana, Piali Dey Bristi, B M Abu Al Mamun, Mohammad Jasim Uddin, Jain Fatema, Tanjila Akter, Tania Akhter Tani, Meshbahur Rahman and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 8 pooled it
8.1field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 8 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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  18. Frontiers in genetics · 2025
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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

11 authors at 4 institutions in 2 countries.

Mohammad Ziaul Islam ChowdhuryDepartment of Community Health Sciences, University of Calgary, TRW Building (3rd Floor), 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. mohammad.chowdhury@ucalgary.ca.
Ataul Mustufa AnikDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Zaki FarhanaDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Piali Dey BristiDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
B M Abu Al MamunDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Mohammad Jasim UddinDepartment of General Surgery, North East Medical College, Sylhet, Bangladesh.
Jain FatemaDepartment of Clinical Pathology, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh.
Tanjila AkterDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Tania Akhter TaniDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Meshbahur RahmanDepartment of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Tanvir C TurinDepartment of Family Medicine, University of Calgary, Calgary, AB, Canada.
Shahjalal University of Science and Technology · BDUniversity of Calgary · CANorth East University · BDSylhet MAG Osmani Medical College · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MS) is a cluster of health problems that set the stage for serious health conditions and places individuals at higher risk of cardiovascular disease, diabetes and stroke. The worldwide prevalence of MS in the adult population is on the rise and Bangladesh is no exception. According to some epidemiological study, MS is highly prevalent in Bangladesh and has increased dramatically in last few decades. To provide a clear picture of the current situation, we conducted a systematic review and meta-analysis with an objective to assess the prevalence of metabolic syndrome among the Bangladeshi population using data already published in the scientific literature.

methodsWe searched MEDLINE, EMBASE and PubMed and manually checked references of all identified relevant publications that described the prevalence of MS in Bangladesh. Random effects meta-analysis was used to pool the prevalence. Heterogeneity was explored using formal tests and subgroup analyses. Study quality and publication bias was also explored.

resultsElectronic and grey literature search retrieved 491 potentially relevant papers. After removing duplicates, reviewing titles and abstracts and screening full texts, 10 studies were finally selected. Most of the studies were conducted in rural populations and study participants were mostly females. The weighted pooled prevalence of metabolic syndrome regardless of gender and criteria used to define metabolic syndrome, was 30.0% with high heterogeneity observed. Weighted pooled prevalence of metabolic syndrome is higher in females (32%) compared to males (25%) though not statistically significant (p = 0.434). Prevalence was highest (37%) when Modified NCEP ATP III criteria was used to define MS, while it was lowest (20%) when WHO criteria was used. In most cases, geographical area (urban/rural) was identified as a source of heterogeneity between the studies. Most of the studies met study quality assessment criteria's except adequate sample size criteria and evidence of small study effect was also detected.

conclusionsThe prevalence of metabolic syndrome is high and rising in Bangladesh. Strategies aimed at primary prevention are required to mitigate a further increase in the prevalence and for the reduction of the morbidity and mortality associated with metabolic syndrome.

Indexed as

BangladeshHumansMetabolic SyndromePrevalenceBangladeshMetabolic syndromePrevalence

Identifiers

PMID29499672
PMCPMC5833131
OpenAlexW2795360272

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.