Evidence map›Paper›PMID 27381936›Full record

Observational studyBMJ (Clinical research ed.)2016

Use of evidence based practices to improve survival without severe morbidity for very preterm infants: results from the EPICE population based cohort.

Jennifer Zeitlin, Bradley N Manktelow, Aurelie Piedvache, Marina Cuttini, Elaine Boyle, Arno van Heijst, Janusz Gadzinowski, Patrick Van Reempts, Lene Huusom, Tom Weber and 10 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04531839 (Improving the Outcome of Very Preterm Infants Using Evidence-based Collaborative Quality Improvement), which is not on this map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
–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.

NCT04531839 nawithdrawnnot on this mapstarted 2024, after this paper: background citation

Improving the Outcome of Very Preterm Infants Using Evidence-based Collaborative Quality Improvement: A Multi-center Prospective Study

TypeinterventionalSponsorChildren's Hospital of Fudan UniversityRan2024 to 2026Enrolled0ConditionsMorbidity, Newborn, MoralityArmsEvidence-based collaborative quality improvement
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. [Expert recommendations on antenatal counseling for extremely preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
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  20. Are Newer Drugs Better? An Analysis of Neonatal Pharmacological Treatments across Generations.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Jennifer ZeitlinINSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, 75014, France Jennifer.zeitlin@inserm.fr.
Bradley N ManktelowDepartment of Health Sciences, University of Leicester, Leicester, UK.
Aurelie PiedvacheINSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, 75014, France.
Marina CuttiniClinical Care and Management Innovation Research Area, Bambino Gesù Children's Hospital, Rome, Italy.
Elaine BoyleDepartment of Health Sciences, University of Leicester, Leicester, UK.
Arno van HeijstDepartment of Neonatology, Radboud University Medical Centre, Nijmegen, Netherlands.
Janusz GadzinowskiDepartment of Neonatology, Poznan University of Medical Sciences, Poznan, Poland.
Patrick Van ReemptsDepartment of Neonatology, Antwerp University Hospital, Antwerp; and Study Centre for Perinatal Epidemiology, Flanders, Brussels, Belgium.
Lene HuusomDepartment of Obstetrics, Hvidovre University Hospital, Hvidovre, Denmark.
Tom WeberDepartment of Obstetrics, Hvidovre University Hospital, Hvidovre, Denmark.
Stephan SchmidtDepartment of Obstetrics, University Hospital, Philipps University, Marburg, Germany.
Henrique BarrosEPIUnit-Institute of Public Health, University of Porto, Porto, Portugal.
Dominico DillaloHealth Department, Regione Lazio, Rome, Italy.
Liis ToomeUnit of Neonates and Infants, Tallinn Children's Hospital, Tallinn, Estonia; and University of Tartu, Tartu, Estonia.
Mikael NormanDepartment of Clinical Science, Intervention and Technology, Division of Paediatrics, Karolinska Institute, Stockholm, Sweden; and Department of Neonatal Medicine, Karolinska University Hospital, Stockholm, Sweden.
Beatrice BlondelINSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, 75014, France.
Mercedes BonetINSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, Paris, 75014, France.
Elisabeth S DraperDepartment of Health Sciences, University of Leicester, Leicester, UK.
Rolf F MaierChildren's Hospital, University Hospital, Philipps University, Marburg Germany.
EPICE Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the implementation of four high evidence practices for the care of very preterm infants to assess their use and impact in routine clinical practice and whether they constitute a driver for reducing mortality and neonatal morbidity.

designProspective multinational population based observational study.

setting19 regions from 11 European countries covering 850 000 annual births participating in the EPICE (Effective Perinatal Intensive Care in Europe for very preterm births) project.

participants7336 infants born between 24+0 and 31+6 weeks' gestation in 2011/12 without serious congenital anomalies and surviving to neonatal admission.

main outcome measuresCombined use of four evidence based practices for infants born before 28 weeks' gestation using an "all or none" approach: delivery in a maternity unit with appropriate level of neonatal care; administration of antenatal corticosteroids; prevention of hypothermia (temperature on admission to neonatal unit ≥36°C); surfactant used within two hours of birth or early nasal continuous positive airway pressure. Infant outcomes were in-hospital mortality, severe neonatal morbidity at discharge, and a composite measure of death or severe morbidity, or both. We modelled associations using risk ratios, with propensity score weighting to account for potential confounding bias. Analyses were adjusted for clustering within delivery hospital.

resultsOnly 58.3% (n=4275) of infants received all evidence based practices for which they were eligible. Infants with low gestational age, growth restriction, low Apgar scores, and who were born on the day of maternal admission to hospital were less likely to receive evidence based care. After adjustment, evidence based care was associated with lower in-hospital mortality (risk ratio 0.72, 95% confidence interval 0.60 to 0.87) and in-hospital mortality or severe morbidity, or both (0.82, 0.73 to 0.92), corresponding to an estimated 18% decrease in all deaths without an increase in severe morbidity if these interventions had been provided to all infants.

conclusionsMore comprehensive use of evidence based practices in perinatal medicine could result in considerable gains for very preterm infants, in terms of increased survival without severe morbidity.

Indexed as

Evidence-Based PracticeInfant, Extremely PrematureEuropeFemaleHumansInfant, NewbornInfant, Premature, DiseasesPregnancyProspective StudiesSurvival Rate

Identifiers

PMID27381936
PMCPMC4933797

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Registered trials

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.