Evidence map›Paper›PMID 41965605›Full record

ArticleBMC pediatrics2026

Factors associated with non-participation of preterm infants at two and five years in a large population-based French healthcare network.

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

Abstract read
In one paragraph

Article in BMC pediatrics, 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

10 authors.

Lucas AnzelinData Science Department, 6-8 Rue Firmin Gillot, Sesan, Paris, 75015, France. lucas.anzelin@sesan.fr.
Matthieu HanfData Science Department, 6-8 Rue Firmin Gillot, Sesan, Paris, 75015, France.
Laurence DesplanquesPerinatal, Child and Women's Health Department - Public Health Department, ARS Île-de-France, Paris, France.
Michèle GranierNeonatology and Neonatal Intensive Care Unit, Centre Hospitalier Sud Francilien, Corbeil Essonne, France.
Laurence LeloupRéseau Pédiatrique Sud et Ouest Francilien - Association pour le Suivi des Nouveau-nés à Risque, Clamart, France.
Alexandre LapillonneUniversité Paris Descartes, APHP Necker - Hôpital des Enfants Malades, Paris, France.
Véronique PierratUniversité de Paris, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAE, Paris, F-75004, France.
Sylvie EscolanoUniversité Paris-Saclay, UVSQ, Inserm, CESP, High Dimensional Biostatistics Team, Villejuif, 94807, France.
Pascale Tubert-BitterUniversité Paris-Saclay, UVSQ, Inserm, CESP, High Dimensional Biostatistics Team, Villejuif, 94807, France.
Anne C M ThiébautUniversité Paris-Saclay, UVSQ, Inserm, CESP, High Dimensional Biostatistics Team, Villejuif, 94807, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough recommended for the early identification and intervention for developmental impairments, monitoring of preterm infants over several years is hampered by loss of follow-up that inevitably occurs. This study aimed to assess the non-participation of preterm infants in their two- and five-year visits as well as associated factors.

methodsInfants born before 33 weeks of gestational age, who were enrolled between 2016 and 2022 in a prospective, population-based cohort in Paris area, France, and were eligible for their two- and five-year visits were selected. Among factors reflecting parental socio-economic characteristics, medical characteristics of the mother and her pregnancy, perinatal characteristics of the child, and contextual variables, those associated with the likelihood of non-participation in the two- or five-year visit were investigated using univariate and multivariable logistic regression models and multiple imputations.

resultsOf the 12,685 and 6,661 preterm infants followed-up at two- and five-years, respectively, 4,871 (38.4%) and 4,069 (61.1%) did not participate in the two- and five-year visits. Factors associated with non-participation in the two-year visit were more recent year of birth, younger maternal age, several children at home, lower educational level, mother unemployed or on parental leave, father with an intermediate occupation, tobacco during pregnancy, appropriate or large birth weight for gestational age, and birth in maternity unit other than inclusion. Conversely, factors associated with participation in the two-year visit were a pregnancy achieved by assisted reproductive technology, lower gestational age, postnatal corticosteroid prescription, administration of monoclonal antibodies against respiratory syncytial virus, a bronchopulmonary dysplasia, breastfeeding at discharge, a private or nonhospital referring physician, and living more than 10 km from the referring physician. Factors associated with non-participation in the five-year visit were almost identical.

conclusionFactors associated with non-participation of preterm infants within a healthcare network were found to be multidimensional. These findings are critical for the development of more intensive and individualized follow-up strategies for preterm infants.

trial registrationThe SEV-IDF program is registered with the French data protection authority for clinical research (CNIL, No.1003270/1802983/1802601/1800966/1800657).

Indexed as

Infant, PrematurePatient ParticipationChild, PreschoolFemaleFollow-Up StudiesFranceGestational AgeHumansInfant, NewbornMaleParisProspective StudiesSocioeconomic FactorsChild developmentCohortNon-participationPerinatal characteristicsPreterm birthSocio-economic factors

Identifiers

PMID41965605
PMCPMC13195866

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.