Evidence mapPaperPMID 38932913Full record

ReviewJournal of diabetes and metabolic disorders2024

Comprehensive data on the relationship between KCNJ11 polymorphisms and gestational diabetes mellitus predisposition: a meta-analysis.

Mohammad Golshan-Tafti, Reza Bahrami, Seyed Alireza Dastgheib, Mojgan Karimi-Zarchi, Sepideh Azizi, Zahra Marzbanrad, Nazanin Hajizadeh, Maryam Aghasipour, Maryam Yeganegi, Amirmasoud Shiri and 2 more

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Mohammad Golshan-TaftiDepartment of Pediatrics, Islamic Azad University of Yazd, Yazd, Iran.
Reza BahramiNeonatal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Alireza DastgheibDepartment of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mojgan Karimi-ZarchiDepartment of Gynecologic Oncology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Sepideh AziziShahid Akbarabadi Clinical Research Development Unit, Iran University of Medical Sciences, Tehran, Iran.
Zahra MarzbanradDepartment of Obstetrics and Gynecology, Firoozgar Clinical Research Development Center, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Nazanin HajizadehPrevention Gynecology Research Center, Imam Hossein hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Maryam AghasipourDepartment of Cancer Biology, College of Medicine, University of Cincinnati, Cincinnati, OH USA.
Maryam YeganegiDepartment of Obstetrics and Gynecology, Iranshahr University of Medical Sciences, Iranshahr, Iran.
Amirmasoud ShiriStudent Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Kazem AghiliDepartment of Radiology, School of Medicine, Shahid Rahnamoun Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Hossein NeamatzadehMother and Newborn Health Research Center, School of Medicine, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The genetic aspect of gestational diabetes mellitus (GDM) is influenced by multiple causal genetic variants, each with different effect sizes. The KCNJ11 gene is particularly noteworthy as a potential contributor to the risk of GDM due to its role in regulating glucose-induced insulin secretion. To evaluate the association between KCNJ11 polymorphisms and GDM, a comprehensive meta-analysis was conducted to review the existing literature and quantitatively assess the correlation. Methods: A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence. Results: The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM. Conclusions: Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01428-0.

Indexed as

Gestational diabetesKCNJ11Kir6.2 channelPolymorphismPregnancy-induced diabetes

Identifiers

PMID38932913
PMCPMC11196507

What Socratic holds

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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.