Evidence map›Paper›PMID 35794663›Full record

ReviewDiabetology & metabolic syndrome2022

Myo-inositol supplementation for prevention of gestational diabetes mellitus in overweight and obese pregnant women: a systematic review and meta-analysis.

Sepideh Mashayekh-Amiri, Sakineh Mohammad-Alizadeh-Charandabi, Somaiyeh Abdolalipour, Mojgan Mirghafourvand

Open access · goldAbstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Efficacy of inositol supplementation for the prevention and treatment of gestational diabetes in pregnant women: Results from an umbrella meta-analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Pooled it
  2. Pooled it
  3. The role of the myo-inositol for the prevention of the gestational diabetesRevista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Pooled it
  4. Meta-Analysis of the Effect of Nursing Intervention on Children with Type 2 Diabetes.Computational and mathematical methods in medicine · 2022
    Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Metformin and Myo-Inositol: A Comparative Analysis.Gynecologic and obstetric investigation · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Metabolomics: Uncovering Insights into Obesity and Diabetes.International journal of molecular sciences · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Inositol-Exchange Activity in Human Primordial Placenta.International journal of molecular sciences · 2024
    Article
  20. 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 at 2 institutions in 1 country.

Sepideh Mashayekh-AmiriDepartment of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Sakineh Mohammad-Alizadeh-CharandabiDepartment of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Somaiyeh AbdolalipourDepartment of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Mojgan MirghafourvandDepartment of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran. mirghafourvand@gmail.com.
Tabriz University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of gestational diabetes mellitus [GDM] and of its most important predisposing factor, i.e. overweight and obesity, have increased dramatically over the past 20 years. Therefore, the aim of this study was to systematically review the articles on the effect of myo-inositol supplementation on the prevention of GDM in pregnant women with overweight and obesity.

methodsWe conducted a systematic literature search in electronic database (MEDLINE, Cochrane Library, ClinicalTrials.gov, Embase, ProQuest, PubMed, Google scholar, Scopus, Web of science and forward and backward citations) to identify all randomized controlled trials (RCTs) published until 21 December 2021. Finally, Among the 118 identified records, four studies were eligible and were included in this systematic review. The meta-analysis results were reported in the form of odds ratio (OR) to compare the incidence of GDM and pregnancy outcomes. They were also presented in the form of mean difference (MD) to compare fasting glucose (FG), 1-h and 2-h oral glucose tolerance test (OGTT) levels between the two groups. This study was registered on PROSPERO, number CRD42021290570.

resultsThe results showed that the incidence of GDM was significantly lower in the myo-inositol group (OR 0.32, 95% CI 0.21 to 0.48; P < 0.001; I

conclusionsBased on the results, myo-inositol has shown to be a new and safe preventive strategy in reducing the incidence of GDM and in regulating FG and 1-h and 2-h OGTT levels, and also in reducing the incidence of GDM complications such as preterm delivery and gestational hypertension in pregnant women with overweight and obesity.

Indexed as

GDMGestational diabetes mellitusMyo-inositol supplementationOverweight and obese

Identifiers

PMID35794663
PMCPMC9258131
OpenAlexW4283836419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.