Evidence map›Paper›PMID 21471086›Full record

ArticleAmerican journal of respiratory and critical care medicine2011

Prediction of bronchopulmonary dysplasia by postnatal age in extremely premature infants.

Matthew M Laughon, John C Langer, Carl L Bose, P Brian Smith, Namasivayam Ambalavanan, Kathleen A Kennedy, Barbara J Stoll, Susie Buchter, Abbot R Laptook, Richard A Ehrenkranz and 17 more

Registry-linked trialAbstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03576885 (Treatment of Delayed Pulmonary Transition in Extremely Preterm Infants & Bronchopulmonary Dysplasia), which is not on this map. Cited by 254 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
254citing papers in PubMed, 3 pooled it
14.7field-weighted citation impact, top 1% 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.

NCT03576885 phase1 / phase2terminatednot on this mapstarted 2019, after this paper: background citation

Treatment of Delayed Pulmonary Transition in Extremely Preterm Infants & Bronchopulmonary Dysplasia

TypeinterventionalSponsorAdventHealthRan2019 to 2023Enrolled32ConditionsPulmonary Hypertension, Bronchopulmonary DysplasiaArmsinhaled nitric oxide, Placebo
3 · Its place in the literature

Who cites it

254 citing papers in PubMed, 3 syntheses or guidelines pooled it, 444 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia.American journal of physiology. Lung cellular and molecular physiology · 2023
    Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Randomised trial of azithromycin to eradicateArchives of disease in childhood. Fetal and neonatal edition · 2020
    Trial
  12. Trial
  13. Ancestry and genetic associations with bronchopulmonary dysplasia in preterm infants.American journal of physiology. Lung cellular and molecular physiology · 2018
    Trial
  14. Trial
  15. Trial
  16. Article
  17. Respiratory support duration and the association between patent ductus arteriosus exposure and bronchopulmonary dysplasia.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  18. Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 15 institutions in 2 countries.

Matthew M LaughonDepartment of Pediatrics, University of North Carolina, Chapel Hill, North Carolina 27599-7596, USA. matt_laughon@med.unc.edu
John C Langer
Carl L Bose
P Brian Smith
Namasivayam Ambalavanan
Kathleen A Kennedy
Barbara J Stoll
Susie Buchter
Abbot R Laptook
Richard A Ehrenkranz
C Michael Cotten
Deanne E Wilson-Costello
Seetha Shankaran
Krisa P Van Meurs
Alexis S Davis
Marie G Gantz
Neil N Finer
Bradley A Yoder
Roger G Faix
Waldemar A Carlo
Kurt R Schibler
Nancy S Newman
Wade Rich
Abhik Das
Rosemary D Higgins
Michele C Walsh
Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network
Rainbow Babies & Children's Hospital · USRTI International · USDuke University · USEmory University · USLucile Packard Children's Hospital · USUniversity of Alabama at Birmingham · USUniversity of California San Diego · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · USCincinnati Children's Hospital Medical Center · USJohn Brown University · USNational Institutes of Health · USThe University of Texas Health Science Center at Houston · USWayne State University · USYale University · US

Funding

NICHD Cooperative Multicenter Neonatal Research NetworkU10HD021373 · NICHD · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI KENNEDY, KATHLEEN A · 1991 to 2015
$6.1M
PHARMACOKINETICS OF ANTIMICROBIAL AGENTS IN HIGH RISK INFANTSK23HD060040 · NICHD · DUKE UNIVERSITY · PI SMITH, PHILLIP BRIAN · 2009 to 2012
$445k
ASPE HHS 1R18AE000028-01NICHD NIH HHS 1K23HD060040-01NICHD NIH HHS U10 HD021373
6 · The paper itself

Abstract

rationaleBenefits of identifying risk factors for bronchopulmonary dysplasia in extremely premature infants include providing prognostic information, identifying infants likely to benefit from preventive strategies, and stratifying infants for clinical trial enrollment.

objectivesTo identify risk factors for bronchopulmonary dysplasia, and the competing outcome of death, by postnatal day; to identify which risk factors improve prediction; and to develop a Web-based estimator using readily available clinical information to predict risk of bronchopulmonary dysplasia or death.

methodsWe assessed infants of 23-30 weeks' gestation born in 17 centers of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network and enrolled in the Neonatal Research Network Benchmarking Trial from 2000-2004. MEASUREMENTS AND MAIN

resultsBronchopulmonary dysplasia was defined as a categorical variable (none, mild, moderate, or severe). We developed and validated models for bronchopulmonary dysplasia risk at six postnatal ages using gestational age, birth weight, race and ethnicity, sex, respiratory support, and Fi(O(2)), and examined the models using a C statistic (area under the curve). A total of 3,636 infants were eligible for this study. Prediction improved with advancing postnatal age, increasing from a C statistic of 0.793 on Day 1 to a maximum of 0.854 on Day 28. On Postnatal Days 1 and 3, gestational age best improved outcome prediction; on Postnatal Days 7, 14, 21, and 28, type of respiratory support did so. A Web-based model providing predicted estimates for bronchopulmonary dysplasia by postnatal day is available at https://neonatal.rti.org.

conclusionsThe probability of bronchopulmonary dysplasia in extremely premature infants can be determined accurately using a limited amount of readily available clinical information.

Indexed as

Infant, Very Low Birth WeightAge FactorsBirth WeightBronchopulmonary DysplasiaEthnicityFemaleGestational AgeHumansInfant, NewbornMaleModels, StatisticalRacial GroupsRisk FactorsSex Factors

Identifiers

PMID21471086
PMCPMC3136997
OpenAlexW2006357580

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.