Evidence map›Paper›PMID 37280680›Full record

ReviewJournal of translational medicine2023

Maternal microbiota and gestational diabetes: impact on infant health.

Parul Singh, Duaa Ahmed Idris Elhaj, Ibrahim Ibrahim, Hala Abdullahi, Souhaila Al Khodor

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Parul SinghCollege of Health & Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Duaa Ahmed Idris ElhajResearch Department, Sidra Medicine, Doha, Qatar.
Ibrahim IbrahimWomen's Department, Sidra Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar.
Hala AbdullahiWomen's Department, Sidra Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar.
Souhaila Al KhodorCollege of Health & Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar. salkhodor@sidra.org.ORCID 0000-0003-4858-7130
Weill Cornell Medical College in Qatar · QAHamad bin Khalifa University · QAQatar Airways (Qatar) · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has been associated with an increased risk of obesity and diabetes in the offspring. Pregnancy is accompanied by tightly regulated changes in the endocrine, metabolic, immune, and microbial systems, and deviations from these changes can alter the mother's metabolism resulting in adverse pregnancy outcomes and a negative impact on the health of her infant. Maternal microbiomes are significant drivers of mother and child health outcomes, and many microbial metabolites are likely to influence the host health. This review discusses the current understanding of how the microbiota and microbial metabolites may contribute to the development of GDM and how GDM-associated changes in the maternal microbiome can affect infant's health. We also describe microbiota-based interventions that aim to improve metabolic health and outline future directions for precision medicine research in this emerging field.

Indexed as

Diabetes, GestationalMicrobiotaChildFemaleHumansInfantInfant HealthObesityPregnancyPregnancy Outcome16S rRNAGDMMicrobiomeNeonatal health

Identifiers

PMID37280680
PMCPMC10246335
OpenAlexW4379537002

What Socratic 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 Socratic graph.