Evidence map›Paper›PMID 41047268›Full record

ArticleBMJ open2025

Identification of gestational diabetes mellitus in European electronic healthcare databases: insights from the ConcePTION project.

Ditte Mølgaard-Nielsen, Vera Mitter, Angela Lupattelli, Vjola Hoxhaj, Constanza L Andaur Navarro, Saeed Hayati, Sandra Lopez-Leon, Joan K Morris, Anja Geldof, Susan Jordan and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

23 authors.

Ditte Mølgaard-NielsenNovo Nordisk A/S, Bagsværd, Capital Region of Denmark, Denmark.ORCID http://orcid.org/0000-0003-4813-4289
Vera MitterUniversity of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-1483-5020
Angela LupattelliUniversity of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-8787-3183
Vjola HoxhajUtrecht University, Utrecht, Netherlands.
Constanza L Andaur NavarroUtrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0002-7745-2887
Saeed HayatiUniversity of Oslo, Oslo, Norway.
Sandra Lopez-LeonNovartis Pharmaceuticals, Portland, Oregon, USA.
Joan K MorrisUniversity of London, London, UK.ORCID http://orcid.org/0000-0002-7164-612X
Anja GeldofJanssen Biologics BV, Leiden, Netherlands.
Susan JordanSwansea University, Swansea, UK.ORCID http://orcid.org/0000-0002-5691-2987
Maarit K LeinonenFinnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland.ORCID http://orcid.org/0000-0002-7631-4749
Visa MartikainenFinnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland.
Marco ManfriniUniversity of Ferrara, Ferrara, Emilia-Romagna, Italy.
Luca CammarotaUniversity of Ferrara, Ferrara, Emilia-Romagna, Italy.
Amanda NevilleUniversity Hospital of Ferrara, Ferrara, Italy.
Laia Barrachina-BonetFoundation for the Promotion of Health and Bio-medical Research in the Valencian Region, Valencia, Spain.ORCID http://orcid.org/0000-0002-5272-265X
Clara Cavero-CarbonellFoundation for the Promotion of Health and Bio-medical Research in the Valencian Region, Valencia, Spain.
Laura García-VillodreFoundation for the Promotion of Health and Bio-medical Research in the Valencian Region, Valencia, Spain.
Anthony CailletToulouse University, Toulouse, France.
Marie BeslayToulouse University, Toulouse, France.
Christine Damase-MichelToulouse University, Toulouse, France.
Marleen M H J van GelderUniversity of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-4853-4434
Hedvig NordengUniversity of Oslo, Oslo, Norway h.m.e.nordeng@farmasi.uio.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and compare algorithms for identifying gestational diabetes mellitus (GDM) across European electronic healthcare databases and evaluate their impact on the estimated prevalence.

designMulti-national cohort study using routinely collected electronic healthcare data

settingNational and regional databases in five European countries (Norway, Finland, Italy, Spain and France), in primary and/or secondary care.

participantsPregnancy cohorts resulting in stillbirths or live births between 2009 and 2020, comprising 602 897 pregnancies in Norway, 507 904 in Finland, 374 009 in Italy, 193 495 in Spain and 116 762 in France. PRIMARY AND SECONDARY OUTCOMES: The primary outcome was the prevalence of GDM identified using six algorithms: (1) Only diagnosis; (2) Diagnosis or prescription; (3) Two diagnoses or prescriptions (

resultsThe strictest algorithm (

conclusionsIn this multinational study, GDM prevalence ranged from 1.3% to 15.8% depending on the algorithm and database. Nordic countries showed smaller differences in prevalence between algorithms, while the other countries showed larger variations, likely due to differences in coding practices, healthcare systems and database coverage.

Indexed as

Diabetes, GestationalElectronic Health RecordsAdultAlgorithmsCohort StudiesDatabases, FactualEuropeFemaleHumansPregnancyPrevalenceRegistriesDiabetes in pregnancyElectronic Health RecordsPregnancy

Identifiers

PMID41047268
PMCPMC12506240

What OpenQuestion holds

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Registered trials

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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.