Evidence map›Paper›PMID 33822247›Full record

ArticleEuropean journal of pediatrics2021

Bronchopulmonary dysplasia: a predictive scoring system for very low birth weight infants. A diagnostic accuracy study with prospective data collection.

Ikbel El Faleh, Mohamed Faouzi, Mark Adams, Roland Gerull, Jamel Chnayna, Eric Giannoni, Matthias Roth-Kleiner, Swiss Neonatal Network

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in European journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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  8. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Ikbel El FalehClinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland. ikbel.el-faleh@chuv.ch.ORCID http://orcid.org/0000-0002-8099-699X
Mohamed FaouziCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Mark AdamsDepartment of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Roland GerullDepartment of Neonatology, University Children's Hospital Basel, Basel, Switzerland.
Jamel ChnaynaClinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Eric GiannoniClinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Matthias Roth-KleinerClinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Swiss Neonatal Network
University of Lausanne · CHCentre universitaire de médecine générale et santé publique, Lausanne · CHHospital Neuchâtel · CHUniversity Children’s Hospital Basel · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to develop and validate a predictive risk score for bronchopulmonary dysplasia (BPD), according to two clinically used definitions: 1. Need for supplementary oxygen during ≥ 28 cumulative days, BPD28, 2. Need for supplementary oxygen at 36 weeks postmenstrual age (PMA), BPD36. Logistic regression was performed in a national cohort (infants born in Switzerland with a birth weight < 1501 g and/or between 23 0/7 and 31 6/7 weeks PMA in 2009 and 2010), to identify predictors of BPD. We built the score as the sum of predicting factors, weighted according to their ORs, and analysed its discriminative properties by calculating the area under the ROC (receiver operating characteristic) curves (AUCs). This score was then applied to the Swiss national cohort from the years 2014-2015 to perform external validation. The incidence of BPD28 was 21.6% in the derivation cohort (n = 1488) and 25.2% in the validation cohort (n = 2006). The corresponding numbers for BPD36 were 11.3% and 11.1%, respectively. We identified gestational age, birth weight, antenatal corticosteroids, surfactant administration, proven infection, patent ductus arteriosus and duration of mechanical ventilation as independent predictors of BPD28. The AUCs of the BPD risk scores in the derivation cohort were 0.90 and 0.89 for the BPD28 and BPD36 definitions, respectively. The corresponding AUCs in the validation cohort were 0.92 and 0.88, respectively.Conclusion: This score allows for predicting the risk of a very low birth weight infant to develop BPD early in life and may be a useful tool in clinical practice and neonatal research. What is Known: • Many studies have proposed scoring systems to predict bronchopulmonary dysplasia (BPD). • Such a risk prediction may be important to identify high-risk patients for counselling parents, research purposes and to identify candidates for specific treatment. What is New: • A predictive risk score for BPD was developed and validated in a large national multicentre cohort and its performance assessed by two indices of accuracy. • The developed scoring system allows to predict the risk of BPD development early but also at any day of life with high validity.

Indexed as

Bronchopulmonary DysplasiaBirth WeightFemaleGestational AgeHumansIncidenceInfantInfant, NewbornInfant, Very Low Birth WeightPregnancyProspective StudiesRisk FactorsSwitzerlandBronchopulmonary dysplasia (BPD)PredictionPrematurityRespiratory distress syndrome (RDS)Risk scoreVery low birth weight (VLBW) infant

Identifiers

PMID33822247
PMCPMC8285318
OpenAlexW3141423690

What OpenQuestion holds

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Registered trials

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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.