Evidence map›Paper›PMID 38111588›Full record

SynthesisFrontiers in immunology2023

Regulatory T cells in the peripheral blood of women with gestational diabetes: a systematic review and meta-analysis.

Hania Arain, Tina Patel, Nicoleta Mureanu, Athina Efthymiou, Giovanna Lombardi, Timothy Tree, Kypros H Nicolaides, Panicos Shangaris

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

8 authors at 3 institutions in 1 country.

Hania ArainDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
Tina PatelDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
Nicoleta MureanuDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
Athina EfthymiouDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
Giovanna LombardiPeter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
Timothy TreePeter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
Kypros H NicolaidesDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
Panicos ShangarisDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine King's College London, London, United Kingdom.
King's College London · GBKing's College Hospital · GBHarris Birthright Research Centre for Fetal Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes (GDM) affects approximately 14% of pregnancies globally and is associated with short- and long-term complications for both the mother and child. In addition, GDM has been linked to chronic low-grade inflammation with recent research indicating a potential immune dysregulation in pathophysiology and a disparity in regulatory T cells. Objective: This systematic review and meta-analysis aimed to determine whether there is an association between GDM and the level of Tregs in the peripheral blood. Methods: Literature searches were conducted in PubMed, Embase, and Ovid between the 7th and 14th of February 2022. The inclusion criteria were any original studies published in the English language, measuring differentiated Tregs in women with GDM compared with glucose-tolerant pregnant women. Meta-analysis was performed between comparable Treg markers. Statistical tests were used to quantify heterogeneity: Results: The search yielded 223 results: eight studies were included in the review and seven in the meta-analysis (GDM = 228, control = 286). Analysis of Tregs across all trimesters showed significantly lower Treg numbers in women with GDM (SMD, -0.76; 95% CI, -1.37, -0.15; Conclusion: GDM is associated with lower Treg numbers in the peripheral maternal blood. In early pregnancy, there is clinical potential to use Treg levels as a predictive tool for the subsequent development of GDM. There is also a potential therapeutic intervention to prevent the development of GDM by increasing Treg populations. However, the precise mechanism by which Tregs mediate GDM remains unclear. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42022309796.

Indexed as

Diabetes, GestationalFemaleForkhead Transcription FactorsHumansInfant, NewbornInflammationPregnancyPregnancy Trimester, ThirdT-Lymphocytes, RegulatoryForkhead Transcription Factorschronic low-grade inflammationgestational diabetes mellitus (GDM)immune dysregulationregulatory T-cells (Tregs)systematic review & meta-analysistreg markers

Identifiers

PMID38111588
PMCPMC10726109
OpenAlexW4389309814

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.