Evidence map›Paper›PMID 40623879›Full record

ArticleBMJ open2025

Longitudinal study of infants born preterm (<33 weeks) or with a very low birth weight in the Ile de France region of France (SEV-IDF programme): cohort profile.

Lucas Anzelin, Anne C M Thiébaut, Laurence Leloup, Alexandre Lapillonne, Véronique Pierrat, Pascale Tubert-Bitter, Sylvie Escolano, Laurence Desplanques, Michèle Granier, Matthieu Hanf and 2 more

Abstract readMulticenter Study
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

12 authors.

Lucas AnzelinData Science Department, SESAN, Paris, France lucas.anzelin@sesan.fr.ORCID http://orcid.org/0009-0009-9869-0284
Anne C M ThiébautHigh Dimensional Biostatistics Team, INSERM, Villejuif, France.
Laurence LeloupRéseau Pédiatrique Sud et Ouest Francilien - Association pour le Suivi des Nouveau-nés à Risque, Clamart, France.
Alexandre LapillonneNecker-Enfants Malades Hospitals, Paris, France.
Véronique PierratObstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAE, CRESS, Paris, France.
Pascale Tubert-BitterHigh Dimensional Biostatistics Team, INSERM, Villejuif, France.
Sylvie EscolanoHigh Dimensional Biostatistics Team, INSERM, Villejuif, France.
Laurence DesplanquesPerinatal, Child and Women's Health Department - Public Health Department, ARS, Saint-Denis, France.
Michèle GranierNeonatology and Neonatal Intensive Care Unit, CHSF, Corbeil-Essonnes, France.
Matthieu HanfData Science Department, SESAN, Paris, France.
Sev-Idf Study GroupData Science Department, SESAN, Paris, France.
SEV-IDF study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe SEV-IDF programme aims to track infants born before 33 weeks of gestation, with very low birth weight (VLBW), neonatal encephalopathy or severe birth anomalies and perinatal disease. It employs an open, prospective, multicentric, population-based cohort approach. This report aims to describe the methodology employed to establish and manage the programme, details regarding follow-up procedures, baseline characteristics of the included infants, and highlights new research opportunities emerging from the "

participantsThe programme aims to (1) detect developmental anomalies early, (2) improve prevention using standardised data, (3) optimise follow-up care and (4) support multidisciplinary research.Eligible participants are infants alive at discharge from the 59 maternities with a neonatal unit of the Île-de-France (IDF) region (France). A network of 567 trained physicians monitors the children's development at 4 months, 1 and 2 years of corrected age, and 3, 4, 5, 6 and 7 years of age. Collected data include sociodemographic, pregnancy and neonatal characteristics, and standardised child development scores. FINDINGS TO DATE: The programme enrolled 21 175 participants between 2016 and 2023, with 16 461 (77.7%) having a gestational age less than 33 weeks, 1916 (9.0%) others having VLBW, 1525 (7.2%) having encephalopathy and 1273 (6.0%) having another severe birth anomaly. FUTURE PLANS: The collected data will enable the SEV-IDF scientific committee to describe high-risk infants in the IDF region, design evidence-based campaigns to improve the quality and effectiveness of the follow-up as well as conduct research on developmental anomalies in these high-risk infants. Ongoing research currently focuses on anticipating loss to follow-up and early detection of developmental anomalies.

Indexed as

Developmental DisabilitiesInfant, PrematureInfant, Very Low Birth WeightChildChild DevelopmentChild, PreschoolFemaleFranceGestational AgeHumansInfantInfant, NewbornLongitudinal StudiesMalePregnancyProspective StudiesChildDevelopmental neurology & neurodisabilityEPIDEMIOLOGYFollow-Up StudiesNEONATOLOGYPUBLIC HEALTH

Identifiers

PMID40623879
PMCPMC12258362

What OpenQuestion holds

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LicenceCC BY-NC
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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.