Evidence map›Paper›PMID 37794196›Full record

ArticleCommunications medicine2023

Precision gestational diabetes treatment: a systematic review and meta-analyses.

Jamie L Benham, Véronique Gingras, Niamh-Maire McLennan, Jasper Most, Jennifer M Yamamoto, Catherine E Aiken, Susan E Ozanne, Rebecca M Reynolds, ADA/EASD PMDI

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
8.6field-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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. The use of machine learning to predict pharmacological therapy in gestational diabetes: A scoping review.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Review
  7. Review
  8. Article
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  10. Early Gestational Diabetes Mellitus: A Need for Better Understanding and Wise Navigation.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Article
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  14. Article
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  19. Observational
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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

9 authors at 20 institutions in 26 countries.

Jamie L Benham *Department of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Véronique Gingras *Department of Nutrition, Université de Montréal, Montreal, QC, Canada.
Niamh-Maire McLennan *MRC Centre for Reproductive Health, Queens's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Jasper Most *Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands.ORCID http://orcid.org/0000-0001-8591-5629
Jennifer M Yamamoto *Internal Medicine, University of Manitoba, Winnipeg, MB, Canada.
Catherine E Aiken *Department of Obstetrics and Gynaecology, the Rosie Hospital, Cambridge, UK.
Susan E OzanneUniversity of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK.ORCID http://orcid.org/0000-0001-8753-5144
Rebecca M ReynoldsMRC Centre for Reproductive Health, Queens's Medical Research Institute, University of Edinburgh, Edinburgh, UK. r.reynolds@ed.ac.uk.ORCID http://orcid.org/0000-0001-6226-8270
ADA/EASD PMDI
Johns Hopkins University · USUniversity of Copenhagen · DKBroad Institute · USHarvard University · USNorthwestern University · USUniversity of Exeter · GBChinese University of Hong Kong · HKUniversity of Dundee · GBLund University · SEBrigham and Women's Hospital · USJoslin Diabetes Center · USNational Institutes of Health · USUniversity of Cambridge · GBUniversity of Maryland, Baltimore · USUniversity of South Dakota · USHôpital Necker-Enfants Malades · FRIndiana University School of MedicineMRC Centre for Reproductive Health · GBUniversity of Pittsburgh · USBaylor College of Medicine · US

Funding

Medical Research Council MC_UU_00014/4Wellcome Trust 210752/Z/18/Z
6 · The paper itself

Abstract

backgroundGestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the known heterogeneity in GDM, treatment guidelines and approaches are generally standardized. We hypothesized that a precision medicine approach could be a tool for risk-stratification of women to streamline successful GDM management. With the relatively short timeframe available to treat GDM, commencing effective therapy earlier, with more rapid normalization of hyperglycaemia, could have benefits for both mother and fetus.

methodsWe conducted two systematic reviews, to identify precision markers that may predict effective lifestyle and pharmacological interventions.

resultsThere was a paucity of studies examining precision lifestyle-based interventions for GDM highlighting the pressing need for further research in this area. We found a number of precision markers identified from routine clinical measures that may enable earlier identification of those requiring escalation of pharmacological therapy (to metformin, sulphonylureas or insulin). This included previous history of GDM, Body Mass Index and blood glucose concentrations at diagnosis.

conclusionsClinical measurements at diagnosis could potentially be used as precision markers in the treatment of GDM. Whether there are other sensitive markers that could be identified using more complex individual-level data, such as omics, and if these can feasibly be implemented in clinical practice remains unknown. These will be important to consider in future studies.

Identifiers

PMID37794196
PMCPMC10550921
OpenAlexW4387328204

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.