Evidence map›Paper›PMID 38110524›Full record

ArticleCommunications medicine2023

Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis.

Ellen C Francis, Camille E Powe, William L Lowe, Sara L White, Denise M Scholtens, Jiaxi Yang, Yeyi Zhu, Cuilin Zhang, Marie-France Hivert, Soo Heon Kwak and 2 more

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.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.3field-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, 28 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. 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

12 authors at 20 institutions in 26 countries.

Ellen C FrancisDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA. ellen.francis@rutgers.edu.ORCID http://orcid.org/0000-0001-8618-045X
Camille E PoweDiabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
William L LoweDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Sara L WhiteDepartment of Women and Children's Health, King's College London, London, UK.ORCID http://orcid.org/0000-0001-7979-0508
Denise M ScholtensDepartment of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jiaxi YangGlobal Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yeyi ZhuKaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Cuilin ZhangGlobal Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Marie-France HivertDiabetes Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7752-2585
Soo Heon KwakDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Arianne SweetingFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
ADA/EASD PMDI
Johns Hopkins University · USUniversity of Exeter · GBHarvard University · USUniversity of Copenhagen · DKBroad Institute · USIndiana University School of MedicineChinese University of Hong Kong · HKThe University of Adelaide · AUUniversity of Colorado Anschutz Medical Campus · USUniversity of Chicago · USHaukeland University Hospital · NOLund University · SENorthwestern University · USStanford University · USUniversity of Dundee · GBBaylor College of Medicine · USBrigham and Women's Hospital · USEastern Health · AUKing's College London · GBKU Leuven · BE

Funding

Characterizing metabolic variability during pregnancy to understand pathways of in-utero overnutrition: an integrative analysis of metabolomics and lifestyle dataR00HD108272 · NICHD · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI FRANCIS, ELLEN CROSS · 2023 to 2025
$699k
NICHD NIH HHS R00 HD108272NIDDK NIH HHS L30 DK106874Wellcome Trust 210752/Z/18/Z
6 · The paper itself

Abstract

backgroundPerinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM.

methodsSystematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m

resultsA total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers.

conclusionsMaternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.

Identifiers

PMID38110524
PMCPMC10728189
OpenAlexW4389920907

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.