Evidence map›Paper›PMID 39479091›Full record

ReviewCureus2024

Management of Endocrinopathies During Pregnancy: A Systematic Review.

Zlatko Kirovakov, Elitsa Gyokova, Nadezhda Hinkova, Boris Stoilov

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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

4 authors.

Zlatko KirovakovDepartment of Midwifery Care, Faculty of Health Care, Medical University - Pleven, Pleven, BGR.
Elitsa GyokovaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Medical University - Pleven, Pleven, BGR.
Nadezhda HinkovaDepartment of Midwifery Care, Faculty of Health Care, Medical University - Pleven, Pleven, BGR.
Boris StoilovDepartment of Obstetrics and Gynecology, Medical University of Plovdiv, Plovdiv, BGR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainty surrounds the efficacy and security of several medications in treating endocrinopathies, such as gestational diabetes mellitus (GDM) in individuals whose normal glucose levels cannot be maintained by diet and exercise alone. To improve pregnancy results for GDM individuals, the present review is conducted to measure the effectiveness of several antidiabetic medications for glucose management. Up until 2024, we looked through PubMed and Google Scholar. Patients with GDM were enrolled in randomized controlled studies that examined several medications. Using the Cochrane risk of bias method, we obtained the pertinent data and evaluated the bias probability. To determine the odds ratio and the surface of the cumulative ranking function of the maternal and neonatal consequences of various therapies in GDM individuals, we first performed pair-wise meta-assessments and subsequently used a systematic review. Macrosomia, higher gestational ages, infant hypoglycemia, and birth weight are the neonatal outcomes. Glycohemoglobin (HbA1c), and pregnancy-induced hypertension (PIH) are the maternal outcomes. This thorough analysis of 25 trial designs found that metformin had fewer cases of macrosomia, higher gestational ages, infant hypoglycemia, and decreased birth weight when compared to glyburide. Metformin was found to be the fastest way to control blood sugar levels in individuals with GDM, whereas glyburide was found to be the most successful medicine for the same purpose.

Indexed as

endocrinopathiesgdmglyburideglycohemoglobin (hba1c)metforminpregnancypregnancy-induced hypertension (pih)

Identifiers

PMID39479091
PMCPMC11524603

What OpenQuestion holds

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Registered trials

None linked

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.