Evidence map›Paper›PMID 42528313›Full record

Trial reportPaediatric and perinatal epidemiology2026

Choice of Growth Standard and Interpretation of Large for Gestational Age Outcomes: Evidence From the CDC4G Trial.

Sara Grass, Maryam de Brun, Anders Magnuson, Martina Persson, Anna-Karin Wikström, David Simmons, Snehal Patil, Verena Sengpiel, Scott Montgomery, Kerstin Berntorp and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Paediatric and perinatal epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Sara GrassDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0009-0008-0249-5939
Maryam de BrunDepartment of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID https://orcid.org/0000-0003-1017-2124
Anders MagnusonClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Martina PerssonDepartment of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden.
Anna-Karin WikströmDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
David SimmonsSchool of Medical Science, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID https://orcid.org/0000-0003-0560-0761
Snehal PatilClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Verena SengpielDepartment of Obstetrics and Gynecology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Scott MontgomeryClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Kerstin BerntorpGenetics and Diabetes Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Ulla-Britt WennerholmDepartment of Obstetrics and Gynecology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Helena StrevensDepartment of Obstetrics and Gynecology, Skåne University Hospital, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Karin HildénDepartment of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID https://orcid.org/0000-0002-3707-6696
Elisabeth Storck-LindholmDepartment of Obstetrics and Gynecology Södersjukhuset, Karolinska Institute, Sweden.
Helena BackmanDepartment of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID https://orcid.org/0000-0002-2691-7525
Fredrik AhlssonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-8413-9274

Funding

ALF Funding Region Örebro County OLL-930268ALF Funding Region Uppsala 2024-19045Landstinget Västmanland LTV-966501Nyckelfonden, Region Örebro County OLL-597601Regional Research committee Uppsala-Örebro RFR-749241Region Örebro County Research committee OLL-693551Region Örebro County Research committee OLL-786911Research Funds of Skåne University Hospital and the Skåne County Council Research and Development Foundation REGSKANE-622891Stiftelsen Mary von Sydows, född Wijk, donation fund 1017Stiftelsen Mary von Sydows, född Wijk, donation fund 2618Stiftelsen Mary von Sydows, född Wijk, donation fund 3718Stiftelsen Mary von Sydows, född Wijk, donation fund 4917The Swedish Research Council 2018-00470The Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement ALFGBG-932692The Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement GBG-823211
6 · The paper itself

Abstract

backgroundThe lack of a standardised definition of large for gestational age (LGA) complicates clinical assessments and the interpretation of research.

objectiveThe objective of this study is to assess how different definitions of LGA affect the interpretation of outcomes in a stepped wedge cluster randomised controlled trial (SW-CRT).

methodsSecondary analysis of the Changing Diagnostic Criteria for Gestational Diabetes (CDC4G, ISRCTN41918550) study population (n = 47,080 pregnancies), including eight delivery units in Sweden during 2018. The outcome measures were the prevalence of LGA and severe LGA before and after switching from the previous Swedish diagnostic criteria for gestational diabetes (SWE-GDM) to the World Health Organisation (WHO-2013) criteria. LGA and severe LGA were defined as birthweight > 90th and > 97th percentile, respectively, using the following reference growth charts: The new Swedish reference ranges for fetal weight (SWE-REF), the Gestation Related Optimal Weight (GROW) and the International Fetal and Newborn Growth Consortium for the 21st Century (Intergrowth-21st). Analyses were performed on a modified intention-to-treat (mITT) population and on the subgroup discordant for GDM diagnosis between new and former criteria, i.e., glucose levels between the WHO-2013 and SWE-GDM diagnostic thresholds.

resultsIn the mITT population, the prevalence of LGA decreased from 19.4% to 13.1% after the switch to the WHO-2013 GDM criteria, as defined by SWE-REF (adjusted relative risk [RR], 0.92; 95% confidence interval [CI] 0.86, 0.98). There was no change in severe LGA using any of the reference charts. In the subgroup, LGA defined by SWE-REF (RR 0.68, 95% CI 0.50, 0.91) and GROW (RR 0.78, 95% CI 0.63, 0.95) was reduced, but not when defined by Intergrowth-21st (RR 0.88, 95% CI 0.74, 1.06). Severe LGA was reduced only when defined by Intergrowth-21st (RR 0.73, 95% CI 0.62, 0.85).

conclusionsThe choice of LGA definition affected the interpretation of the results in the CDC4G trial.

Indexed as

Birth WeightDiabetes, GestationalInfant, Large for Gestational AgeAdultFemaleFetal DevelopmentFetal MacrosomiaGestational AgeGrowth ChartsHumansInfant, NewbornPregnancyPregnancy OutcomeReference StandardsSwedengestational diabetes mellitusgrowth chartslarge for gestational age

Identifiers

PMID42528313
PMCPMC13624514

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.