Evidence map›Paper›PMID 36508451›Full record

SynthesisPloS one2022

Prevalence of prediabetes and type 2 diabetes mellitus in south and southeast Asian women with history of gestational diabetes mellitus: Systematic review and meta-analysis.

Chockalingam Shivashri, Wesley Hannah, Mohan Deepa, Yonas Ghebremichael-Weldeselassie, Ranjit Mohan Anjana, Ram Uma, Viswanathan Mohan, Ponnusamy Saravanan

Erratum issuedAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Chockalingam ShivashriDivision of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Wesley HannahMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, ICMR Center for Advanced Research on Diabetes, Chennai, Tamil Nadu, India.
Mohan DeepaMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, ICMR Center for Advanced Research on Diabetes, Chennai, Tamil Nadu, India.
Yonas Ghebremichael-WeldeselassieDivision of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, ICMR Center for Advanced Research on Diabetes, Chennai, Tamil Nadu, India.
Ram UmaSeethapathy Clinic & Hospital, Chennai, Tamil Nadu, India.
Viswanathan MohanMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, ICMR Center for Advanced Research on Diabetes, Chennai, Tamil Nadu, India.ORCID 0000-0001-5038-6210
Ponnusamy SaravananDivision of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-9566-2626

Funding

Medical Research Council MR/J000094/1Medical Research Council MR/N006232/1Medical Research Council MR/R020981/1
6 · The paper itself

Abstract

backgroundThe burden of Gestational Diabetes Mellitus (GDM) is very high in south Asia (SA) and southeast Asia (SEA). Thus, there is a need to understand the prevalence and risk factors for developing prediabetes and type 2 diabetes mellitus (T2DM) postpartum, in this high-risk population.

aimTo conduct a systematic review and meta-analysis to estimate the prevalence of prediabetes and T2DM among the women with history of GDM in SA and SEA.

methodsA comprehensive literature search was performed in the following databases: Medline, EMBASE, Web of Knowledge and CINHAL till December 2021. Studies that had reported greater than six weeks of postpartum follow-up were included. The pooled prevalence of diabetes and prediabetes were estimated by random effects meta-analysis model and I2 statistic was used to assess heterogeneity.

resultsMeta-analysis of 13 studies revealed that the prevalence of prediabetes and T2DM in post-GDM women were 25.9% (95%CI 18.94 to 33.51) and 29.9% (95%CI 17.02 to 44.57) respectively. Women with history of GDM from SA and SEA seem to have higher risk of developing T2DM than women without GDM (RR 13.2, 95%CI 9.52 to 18.29, p<0.001). The subgroup analysis showed a rise in the prevalence of T2DM with increasing duration of follow-up.

conclusionThe conversion to T2DM and prediabetes is very high among women with history of GDM in SA and SEA. This highlights the need for follow-up of GDM women for early identification of dysglycemia and to plan interventions to prevent/delay the progression to T2DM.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2Prediabetic StateFemaleHumansPregnancyRisk FactorsSoutheast Asian People

Identifiers

PMID36508451
PMCPMC9744276

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.