Evidence map›Paper›PMID 36407740›Full record

ArticleIranian journal of public health2022

Early-Onset of Gestational Diabetes vs. Late-Onset: Can We Revamp Pregnancy Outcomes?

Nuzhat Parveen, Sehar-Un-Nisa Hassan, Aqeela Zahra, Naveed Iqbal, Asma Batool

Abstract read
In one paragraph

Article in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Nuzhat ParveenDepartment of Obstetrics and Gynecology, College of Medicine, University of Ha'il, Ha'il-81451, Saudi Arabia.
Sehar-Un-Nisa HassanDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il-81451, Saudi Arabia.
Aqeela ZahraDepartment of Family and Community Medicine, College of Medicine, University of Ha'il, Ha'il-81451, Saudi Arabia.
Naveed IqbalDepartment of Obstetrics and Gynecology, College of Medicine, University of Ha'il, Ha'il-81451, Saudi Arabia.
Asma BatoolMaternity and Children Hospital Ha'il, Ha'il, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We assessed risk factors, antenatal and intrapartum complications associated with early-onset Gestational diabetes mellitus (GDM) in comparison with late-onset GDM. Methods: This retrospective study included 161 GDM women having singleton pregnancies, without previous medical disorder and delivered at a tertiary care Hospital in Ha'il City, KSA from Dec 2020 till Jun 2021. Women diagnosed at < 24 weeks of pregnancy were grouped as early-onset GDM (n=71) and those diagnosed at ≥ 24 weeks as late-onset GDM (n=90). Both groups were matched for background variables. Chi-square and binary logistic regression analysis were applied with Results: Past history of GDM, macrosomia and stillbirth were significant predictors for early-onset GDM ( Conclusion: Early-onset GDM significantly increases certain maternal (recurrent urinary tract infections, polyhydramnios and reduced fetal movements) and fetal complications (intrauterine fetal demise, macrosomia fetal birth trauma, low APGAR score at birth and neonatal ICU admissions). Most of these adverse pregnancy outcomes can be prevented through early registration and screening, close follow up, growth ultrasounds, and provision of efficient emergency and neonatal care services.

Indexed as

Fetal outcomeGestational diabetesMaternal outcome

Identifiers

PMID36407740
PMCPMC9643226

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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.