Evidence map›Paper›PMID 32757408›Full record

Trial reportBJOG : an international journal of obstetrics and gynaecology2021

Prognostic models versus single risk factor approach in first-trimester selective screening for gestational diabetes mellitus: a prospective population-based multicentre cohort study.

F van Hoorn, Mph Koster, C A Naaktgeboren, F Groenendaal, A Kwee, M Lamain-de Ruiter, A Franx, M N Bekker

Open access · hybridAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in BJOG : an international journal of obstetrics and gynaecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. First-Trimester Prediction of Gestational Diabetes Mellitus Based on Maternal Risk Factors.BJOG : an international journal of obstetrics and gynaecology · 2025
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  11. Older Underweight Pregnant Women Beat Young Overweight/Obese Ones on Incidence of Gestational Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

F van HoornDepartment of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-8526-2303
Mph KosterDepartment of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4786-0361
C A NaaktgeborenJulius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-0685-9989
F GroenendaalDepartment of Neonatology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-9284-1637
A KweeDepartment of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-5873-7246
M Lamain-de RuiterDepartment of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-5616-5686
A FranxDepartment of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0001-8801-5546
M N BekkerDepartment of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-7372-4291
Utrecht University · NLErasmus MC · NLUniversity Medical Center Utrecht · NL

Funding

ZonMw 209020004
6 · The paper itself

Abstract

objectivesTo evaluate whether (1) first-trimester prognostic models for gestational diabetes mellitus (GDM) outperform the currently used single risk factor approach, and (2) a first-trimester random venous glucose measurement improves model performance.

designProspective population-based multicentre cohort.

settingThirty-one independent midwifery practices and six hospitals in the Netherlands. POPULATION: Women recruited before 14 weeks of gestation without pre-existing diabetes.

methodsThe single risk factor approach (presence of at least one risk factor: BMI ≥30 kg/m

main outcome measuresDiscrimination was assessed by c-statistics, calibration by calibration plots, added value of glucose by the likelihood ratio chi-square test, net benefit by decision curve analysis and reclassification by reclassification plots.

resultsOf the 3723 women included, a total of 181 (4.9%) developed GDM. The c-statistics of the prognostic models were higher, ranging from 0.74 to 0.78 without glucose and from 0.78 to 0.80 with glucose, compared with the single risk factor approach (0.72). Models showed adequate calibration, and yielded a higher net benefit than the single risk factor approach for most threshold probabilities. Teede 2011 performed best in the reclassification analysis.

conclusionsFirst-trimester prognostic models seem to outperform the currently used single risk factor approach in screening for GDM, particularly when glucose was added as a predictor. TWEETABLE ABSTRACT: Prognostic models seem to outperform the currently used single risk factor approach in screening for gestational diabetes.

Indexed as

Clinical Decision RulesModels, TheoreticalPregnancy Trimester, FirstAdultBiomarkersBlood GlucoseDiabetes, GestationalFemaleHumansLogistic ModelsPregnancyPrenatal CarePrognosisProspective StudiesRisk AssessmentRisk FactorsBiomarkersBlood GlucoseBiomarkersclinical prediction rulediabetes in pregnancyglucoseimpact analysisobstetricsperinatal complications

Identifiers

PMID32757408
PMCPMC7891327
OpenAlexW3047074968

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.