Evidence map›Paper›PMID 35880808›Full record

ArticleDiabetes care2022

Comparing IADPSG and NICE Diagnostic Criteria for GDM in Predicting Adverse Pregnancy Outcomes.

Yuanying He, Ronald Ching Wan Ma, H David McIntyre, David A Sacks, Julia Lowe, Patrick M Catalano, Wing Hung Tam

Open access · greenAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
10.9field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Overlap of Gestational Diabetes Mellitus and Pre-eclampsia: A Scoping Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Research Progress of Risk Factors Associated with Gestational Diabetes Mellitus.Endocrine, metabolic & immune disorders drug targets · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Gestational Diabetes: An Update 60 Years After O'Sullivan and Mahan.The Journal of clinical endocrinology and metabolism · 2024
    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

7 authors at 5 institutions in 3 countries.

Yuanying HeDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Ronald Ching Wan MaDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0002-1227-803X
H David McIntyreMater Research, The University of Queensland, South Brisbane, Queensland, Australia.
David A SacksDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.ORCID 0000-0003-3444-6476
Julia LoweFaculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
Patrick M CatalanoDepartment of Obstetrics and Gynecology, Mother Infant Research Institute, Tufts Medical Center, Boston, MA.
Wing Hung TamDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0003-1189-740X
Chinese University of Hong Kong · HKThe University of Queensland · AUTufts Medical Center · USUniversity of Newcastle Australia · AUUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the performance of diagnostic criteria for gestational diabetes mellitus (GDM) proposed by the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) with those endorsed by the National Institute for Health and Care Excellence (NICE) in predicting adverse pregnancy outcomes. RESEARCH DESIGN AND

methodsWe performed a secondary data analysis of the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study participants in five study centers. Logistic regression analyses were performed, and Akaike information criterion were applied for the comparison of different statistical prediction models. We further analyzed the performance by four racial/ethnic subgroups, namely, Whites, Hispanics, Asians, and Blacks.

resultsAmong all, IADPSG criteria diagnosed 267 (4.1%) more women with GDM, but predicted primary caesarean section (CS) and large for gestational age (LGA) and neonatal adiposity better than did NICE criteria after adjustment for potential confounders. Among Whites, IADPSG criteria diagnosed 65 (2.5%) more subjects with GDM and predicted LGA and neonatal adiposity better, but predicted hypertensive disorders, primary CS and clinical neonatal hypoglycemia worse. Among Hispanics, the IADPSG criteria diagnosed 203 (12.1%) more with GDM but performed better in predicting hypertensive disorders, LGA, neonatal adiposity, and hyperinsulinemia. Among Asians, the IADPSG criteria diagnosed 34 (2.0%) fewer subjects with GDM but predicted hypertensive disorders better in the unadjusted model. In Blacks, IADPSG criteria diagnosed 34 (10.5%) more women with GDM.

conclusionsIADPSG criteria appear to be more favorable than NICE for identification of adverse pregnancy outcomes among Hispanic and Asian women, while they are comparable to NICE among White women.

Indexed as

Diabetes, GestationalHypertension, Pregnancy-InducedInfant, Newborn, DiseasesPregnancy in DiabeticsCesarean SectionFemaleGlucose Tolerance TestHumansInfant, NewbornObesityPregnancyPregnancy OutcomeRetrospective Studies

Identifiers

PMID35880808
PMCPMC9472503
OpenAlexW4288009998

What OpenQuestion holds

Textmetadata
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.