Evidence map›Paper›PMID 42476748›Full record

ArticleBMJ paediatrics open2026

Validation of a web-based clinical tool for predicting the risk of bronchopulmonary dysplasia in extremely preterm infants: a retrospective cohort study.

Alaa Abuzaid, Shadi Noaman Garrada, Hebah Salem Abdullah Alsaihati, Zainab Alali, Fatimah Arif Alabbad, Jemila James

Abstract readValidation Study
In one paragraph

Article in BMJ paediatrics open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Alaa AbuzaidPediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia alaaabouzeid2811@gmail.com.ORCID http://orcid.org/0000-0002-5638-8644
Shadi Noaman GarradaPediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia.ORCID http://orcid.org/0009-0004-9401-3271
Hebah Salem Abdullah AlsaihatiPediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia.
Zainab AlaliPediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia.
Fatimah Arif AlabbadPediatrics and Neonatology, Maternity and Children Hospital, Dammam, Saudi Arabia.
Jemila JamesPediatrics & Neonatology, King Hamad American Mission Hospital, Aali, Bahrain.ORCID http://orcid.org/0000-0002-8273-0239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to critically evaluate the web-based National Institute of Child Health and Human Development (NICHD) bronchopulmonary dysplasia (BPD) outcome estimator (2022) regarding its models on postnatal days 1, 3, 7, 14 and 28 in predicting grade 2 and grade 3 BPD as well as the combined outcome of death or grade 2 to grade 3 BPD at 36 weeks postmenstrual age (PMA) or discharge if earlier.

methodsThis single-centred retrospective cohort study included neonates with birth weights of 501-1250 g and born between 23

resultsThe AUC values were 0.71 on postnatal day 7 and 0.76 on postnatal day 14, indicating that the prediction accuracy for the composite outcome of death or grade 2-3 BPD at 36 weeks PMA on days 7 and 14 has limited clinical utility.

conclusionThe NICHD web-based Neonatal BPD Outcome Estimator (2022) has moderate accuracy as evidenced by the AUCs of 0.76 on postnatal day 14 in predicting the outcome of grade 2-3 BPD and the composite outcome of death or grade 2-3 BPD at 36 weeks PMA or discharge if earlier.

Indexed as

Bronchopulmonary DysplasiaInfant, Extremely PrematureInternetArea Under CurveFemaleGestational AgeHumansInfant, NewbornMaleRetrospective StudiesRisk AssessmentROC CurveHyperoxiaHypoxiaNeonatology

Identifiers

PMID42476748
PMCPMC13386063

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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.