Evidence map›Paper›PMID 31310706›Full record

ArticleMaternal & child nutrition2019

The impact of neonatal unit policies on breast milk feeding at discharge of moderate preterm infants: The EPIPAGE-2 cohort study.

Ayoub Mitha, Aurélie Piedvache, Babak Khoshnood, Jeanne Fresson, Isabelle Glorieux, Jean-Michel Roué, Béatrice Blondel, Mélanie Durox, Antoine Burguet, Pierre-Yves Ancel and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Maternal & child nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  13. Breastfeeding in Hospitals: Factors Influencing Maternal Choice in Italy.International journal of environmental research and public health · 2020
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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 at 4 institutions in 1 country.

Ayoub MithaFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.ORCID 0000-0001-7203-3205
Aurélie PiedvacheFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Babak KhoshnoodFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Jeanne FressonFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Isabelle GlorieuxDepartment of Neonatology, Toulouse University Hospital, Toulouse, France.
Jean-Michel RouéDepartment of Neonatal Pediatrics and Intensive Care, Brest University Hospital, Brest, France.
Béatrice BlondelFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Mélanie DuroxFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Antoine BurguetDepartment of Neonatal Pediatrics, Dijon University Hospital, Dijon, France.
Pierre-Yves AncelFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Monique KaminskiFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Véronique PierratFrench National Institute of Health and Medical Research Unit 1153, Obstetrical, Perinatal, and Pediatric Epidemiology Team, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, Paris Descartes University, Paris, France.
Université Paris Cité · FRCentre Hospitalier Régional Universitaire de Brest · FRMaison des Sciences sociales et des Humanités de Dijon · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facilitating factors and barriers to breast milk feeding (BMF) for preterm infants have been mainly studied in very preterm populations, but little is known about moderate preterm infants. We aimed to analyze hospital unit characteristics and BMF policies associated with BMF at discharge for infants born at 32 to 34 weeks' gestation. EPIPAGE-2, a French national cohort of preterm births, included 883 infants born at 32 to 34 weeks' gestation. We investigated kangaroo care in the first 24 hr, early involvement of parents in feeding support, volume of the unit, BMF information given to mothers hospitalized for threatened preterm delivery, protocols for BMF, presence of a professional trained in human lactation, unit training in neurodevelopmental care, and regional BMF initiation rates in the general population. Multilevel logistic regression analysis was used to investigate associations between unit policies and BMF at discharge, adjusted for individual characteristics and estimating odds ratios (ORs) and 95% confidence intervals (CIs). Overall, 59% (490/828) of infants received BMF at discharge (27% to 87% between units). Rates of BMF at discharge were higher with kangaroo care (adjusted OR 2.03 [95% CI 1.01, 4.10]), early involvement of parents in feeding support (1.94 [1.23, 3.04]), unit training in a neurodevelopmental care programme (2.57 [1.18, 5.60]), and in regions with a high level of BMF initiation in the general population (1.85 [1.05, 3.28]). Creating synergies by interventions at the unit and population level may reduce the variability in BMF rates at discharge for moderate preterm infants.

Indexed as

Breast FeedingIntensive Care Units, NeonatalPatient DischargePostnatal CareAdultCohort StudiesFemaleHealth PromotionHumansInfant, NewbornInfant, PrematurePregnancyYoung Adultbreastfeeding supportbreast milkcohort studypolicypracticepreterm infant

Identifiers

PMID31310706
PMCPMC6859988
OpenAlexW2959235644

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.