Evidence map›Paper›PMID 34754378›Full record

ArticleWorld journal of diabetes2021

Utility of oral glucose tolerance test in predicting type 2 diabetes following gestational diabetes: Towards personalized care.

Riad Abdel Latif Bayoumi, Amar Hassan Khamis, Muna A Tahlak, Taghrid F Elgergawi, Deemah K Harb, Komal S Hazari, Widad A Abdelkareem, Aya O Issa, Rakeeb Choudhury, Mohamed Hassanein and 2 more

Open access · diamondAbstract read
In one paragraph

Article in World journal of diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

12 authors at 2 institutions in 1 country.

Riad Abdel Latif BayoumiDepartment of Basic Medical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 123, United Arab Emirates. riad.bayoumi@mbru.ac.ae.
Amar Hassan KhamisDepartment of Biostatistics, HBMDC, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 123, United Arab Emirates.
Muna A TahlakDepartment of Obstetrics and Gynecology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Taghrid F ElgergawiDepartment of Obstetrics and Gynecology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Deemah K HarbDepartment of Obstetrics and Gynecology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Komal S HazariDepartment of Obstetrics and Gynecology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Widad A AbdelkareemDepartment of Obstetrics and Gynecology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Aya O IssaDepartment of Basic Medical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 123, United Arab Emirates.
Rakeeb ChoudhuryDepartment of Basic Medical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 123, United Arab Emirates.
Mohamed HassaneinDepartment of Endocrinology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Jeyaseelan LakshmananDepartment of Biostatistics, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 123, United Arab Emirates.
Fatheya AlawadiDepartment of Endocrinology, Dubai Health Authority, Dubai 123, United Arab Emirates.
Dubai Health Authority · AEMohammed Bin Rashid University of Medicine and Health Sciences · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with gestational diabetes mellitus (GDM) are at a seven-fold higher risk of developing type 2 diabetes (T2D) within 7-10 years after childbirth, compared with those with normoglycemic pregnancy. Although raised fasting blood glucose (FBG) levels has been said to be the main significant predictor of postpartum progression to T2D, it is difficult to predict who among the women with GDM would develop T2D. Therefore, we conducted a cross-sectional retrospective study to examine the glycemic indices that can predict postnatal T2D in Emirati Arab women with a history of GDM.

aimTo assess how oral glucose tolerance test (OGTT) can identify the distinct GDM pathophysiology and predict possible distinct postnatal T2D subtypes.

methodsThe glycemic status of a cohort of 4603 pregnant Emirati Arab women, who delivered in 2007 at both Latifa Women and Children Hospital and at Dubai Hospital, United Arab Emirates, was assessed retrospectively, using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Of the total, 1231 women were followed up and assessed in 2016. The FBG and/or the 2-h blood glucose (2hrBG) levels after a 75-g glucose load were measured to assess the prevalence of GDM and T2D, according to the IADPSG and American Diabetes Association (ADA) criteria, respectively. The receiver operating characteristic curve for the OGTT was plotted and sensitivity, specificity, and predictive values of FBG and 2hrBG for T2D were determined.

resultsConsidering both FBG and 2hrBG levels, according to the IADPSG criteria, the prevalence of GDM in pregnant Emirati women in 2007 was 1057/4603 (23%), while the prevalence of pre-pregnancy T2D among them, based on ADA criteria, was 230/4603 (5%). In the subset of women (

conclusionFBG and 2hrBG could predict postpartum T2D, following antenatal GDM. However, each test reflects different pathophysiology and possible T2D subtype and could be matched with a relevant T2D prevention program.

Indexed as

DiabetesGestational diabetes mellitus subtypesOral glucose tolerance testType 2 diabetesType 2 diabetes subtypes

Identifiers

PMID34754378
PMCPMC8554365
OpenAlexW3205340497

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.