Dataset Information

Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis.

ABSTRACT: OBJECTIVE:The purpose of this paper is to perform a systematic review and meta-analysis in order to summarise the prevalence of diabetes and pre-diabetes and their associated risk factors in Bangladesh. DESIGN:Systematic review and meta-analysis. PARTICIPANTS:General population of Bangladesh. DATA SOURCES:PubMed, Medline, Embase, Bangladesh Journals Online, Science Direct, Scopus, Cochrane Library and Web of Science were used to search for studies, published between 1st of January 1995 and 31st of August 2019, on the prevalence of diabetes and pre-diabetes and their associated risk factors in Bangladesh. Only articles published in the English language articles were considered. Two authors independently selected studies. The quality of the articles was also assessed. RESULTS:Out of 996 potentially relevant studies, 26 population-based studies, which together involved a total of 80?775 individuals, were included in the meta-analysis. The pooled prevalence of diabetes in the general population was 7.8% (95% CI: 6.4-9.3). In a sample of 56?452 individuals, the pooled prevalence of pre-diabetes was 10.1% (95% CI: 6.7-14.0; 17 studies). The univariable meta-regression analyses showed that the prevalence of diabetes is associated with the factors: the year of study, age of patients and presence of hypertension. The prevalence of diabetes was significantly higher in urban areas compared with rural areas, while there was no significant gender difference. CONCLUSIONS:This meta-analysis suggests a relatively high prevalence of pre-diabetes and diabetes in Bangladesh, with a significant difference between rural and urban areas. The main factors of diabetes include urbanisation, increasing age, hypertension and time period. Further research is needed to identify strategies for early detecting, prevention and treatment of people with diabetes in the population. PROSPERO REGISTRATION NUMBER:CRD42019148205.

SUBMITTER: Akhtar S

PROVIDER: S-EPMC7482481 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis.

Akhtar Sohail S Akhtar Sohail S Nasir Jamal Abdul JA Sarwar Aqsa A Nasr Nida N Javed Amara A Majeed Rizwana R Salam Muhammad Abdus MA Billah Baki B

BMJ open 20200909 9

<h4>Objective</h4>The purpose of this paper is to perform a systematic review and meta-analysis in order to summarise the prevalence of diabetes and pre-diabetes and their associated risk factors in Bangladesh.<h4>Design</h4>Systematic review and meta-analysis.<h4>Participants</h4>General population of Bangladesh.<h4>Data sources</h4>PubMed, Medline, Embase, Bangladesh Journals Online, Science Direct, Scopus, Cochrane Library and Web of Science were used to search for studies, published between ...[more]

PMID: 32907898

Similar Datasets

Project description: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.

Project description:BackgroundThe coronavirus disease 2019 (COVID-19) patients with diabetes mellitus (DM) are at high risk of fatal outcomes. This meta-analysis quantifies the prevalence of mortality among (1) diabetic and (2) non-diabetic, and (3) the prevalence of DM, in hospitalized COVID-19 patients.MethodsPublished studies were retrieved from four electronic databases (PubMed, Embase, Scopus, and medRxiv) and appraised critically utilizing the National Heart, Lung, and Blood Institute's tool. Meta-analyses were performed using the random-effects model. The measures of heterogeneity were ascertained by I- squared (I 2 ) and Chi-squared (Chi 2 ) tests statistics. Predictors of heterogeneity were quantified using meta-regression models.ResultsOf the reviewed 475 publications, 22 studies (chiefly case series (59.09 %)), sourcing data of 45,775 hospitalized COVID-19 patients, were deemed eligible. The weighted prevalence of mortality in hospitlized COVID-19 patients with DM (20.0 %, 95 % CI: 15.0-26.0; I 2 , 96.8 %) was 82 % (1.82-time) higher than that in non-DM patients (11.0 %, 95 % CI: 5.0-16.0; I 2 , 99.3 %). The prevalence of mortality among DM patients was highest in Europe (28.0 %; 95 % CI: 14.0-44.0) followed by the United States (20.0 %, 95 % CI: 11.0-32.0) and Asia (17.0 %, 95 % CI: 8.0-28.0). Sample size and severity of the COVID-19 were associated (p < 0.05) with variability in the prevalence of mortality. The weighted prevalence of DM among hospitalized COVID-19 patients was 20 % (95 % confidence interval [CI]: 15-25, I 2 , 99.3 %). Overall, the quality of the studies was fair.ConclusionsHospitalized COVID-19 patients were appreciably burdened with a high prevalence of DM. DM contributed to the increased risk of mortality among hospitalized COVID-19 patients compared to non-DM patients, particularly among critically ill patients. Registration: PROSPERO (registration no. CRD42020196589).Supplementary informationThe online version contains supplementary material available at 10.1007/s40200-021-00779-2.

Dataset Information

Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis.

Publications

Prevalence of diabetes and pre-diabetes in Bangladesh: a systematic review and meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets