Evidence map›Paper›PMID 39915012›Full record

ArticleObesity (Silver Spring, Md.)2025

Impact of maternal prepregnancy body mass index on neonatal outcomes following extremely preterm birth.

Charlotte Girard, Jennifer Zeitlin, Neil Marlow, Mikael Norman, Fredrik Serenius, Elizabeth S Draper, Samantha Johnson, Valérie Benhammou, Karin Källén, Stef van Buuren and 2 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Charlotte GirardObstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Institut National pour la Santé et la Recherche Médicale (INSERM, French Institute for Health and Medical Research), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAe), Paris Cité University, Paris, France.ORCID https://orcid.org/0009-0006-0467-9577
Jennifer ZeitlinObstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Institut National pour la Santé et la Recherche Médicale (INSERM, French Institute for Health and Medical Research), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAe), Paris Cité University, Paris, France.ORCID https://orcid.org/0000-0002-9568-2969
Neil MarlowDepartment of Neonatology, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-5890-2953
Mikael NormanDivision of Pediatrics, Department of Clinical Science, Intervention, and Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4191-3781
Fredrik SereniusDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-2194-2374
Elizabeth S DraperDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0001-9340-8176
Samantha JohnsonDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0001-8963-7881
Valérie BenhammouObstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Institut National pour la Santé et la Recherche Médicale (INSERM, French Institute for Health and Medical Research), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAe), Paris Cité University, Paris, France.
Karin KällénCenter of Reproductive Epidemiology, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-5765-2630
Stef van BuurenNetherlands Organisation for Applied Scientific Research, Leiden, Netherlands.ORCID https://orcid.org/0000-0003-1098-2119
Pierre-Yves AncelObstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Institut National pour la Santé et la Recherche Médicale (INSERM, French Institute for Health and Medical Research), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAe), Paris Cité University, Paris, France.
Andrei S MorganObstetric, Perinatal, Paediatric and Life Course Epidemiology Team (OPPaLE), Center for Research in Epidemiology and StatisticS (CRESS), Institut National pour la Santé et la Recherche Médicale (INSERM, French Institute for Health and Medical Research), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAe), Paris Cité University, Paris, France.ORCID https://orcid.org/0000-0003-4143-1977

Funding

Agence Nationale de la Recherche ANR--11--EQPX--0 038Fondation de France 00050329Medical Research Council G0401525Ministry for Health, France ResearchScholarshipNational Research Agency ANR-11-EQPX-0 038Société Française de Médecine Périnatale, Bourse de rechercheSwedish Research Council 2006-3855Swedish Research Council 2009- 4250Uppsala Regional Research Council RFR--10324Uppsala Regional Research Council RFR-10324Vetenskapsrådet 2006--3855Vetenskapsrådet 2009-- 4250
6 · The paper itself

Abstract

objectiveExtremes of prepregnancy maternal BMI increase neonatal mortality and morbidity at term. They also increase the risk of extremely preterm (EP, i.e., <27 weeks' gestational age) births. However, the association between maternal BMI and outcomes for EP babies is poorly understood.

methodsWe used a cross-country design, bringing together the following three population-based, prospective, national EP birth cohorts: EXPRESS (Sweden, 2004-2007); EPICure 2 (UK, 2006); and EPIPAGE 2 (France, 2011). We included all singleton births at 22 to 26 weeks' gestational age with a live fetus at maternal hospital admission. Our exposure was maternal prepregnancy BMI, i.e., underweight, reference, overweight, or obesity. Odds ratios (OR) for survival without severe neonatal morbidity to hospital discharge according to maternal BMI were calculated using logistic regression.

resultsA total of 1396 babies were born to mothers in the reference group, 140 to those with underweight, 719 to those with overweight, 556 to those with obesity, and 445 to those with missing BMI information. There was no difference in survival without major neonatal morbidity (reference, 22%; underweight, 26%, OR, 1.31, 95% CI: 0.82-2.08; overweight, 23%, OR, 1.00, 95% CI: 0.77-1.29; obesity, 19%, OR, 0.94, 95% CI: 0.70-1.25).

conclusionsNo associations were seen between maternal BMI and outcomes for EP babies.

Indexed as

Body Mass IndexInfant, Extremely PrematureObesityPregnancy ComplicationsAdultFemaleFranceGestational AgeHumansInfant MortalityInfant, NewbornLogistic ModelsMaleOdds RatioOverweightPregnancy

Identifiers

PMID39915012
PMCPMC11897853

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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.