Evidence map›Paper›PMID 38076216›Full record

ArticleHealth equity2023

Racial Disparities Among Predicted Bronchopulmonary Dysplasia Risk Outcomes in Premature Infants Born <30 Weeks Gestation.

Priyanka Patel, Andrew Ellefson, David A Paul

Open access · goldAbstract read
In one paragraph

Article in Health equity, 2023. 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
0.3field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

3 authors at 2 institutions in 1 country.

Priyanka PatelPediatric Residency Program, Nemours Children's Health, Wilmington, Delaware, USA.ORCID https://orcid.org/0009-0002-1769-331X
Andrew EllefsonDivision of Neonatology, Department of Pediatrics, ChristianaCare, Newark, Delaware, USA.
David A PaulDivision of Neonatology, Department of Pediatrics, ChristianaCare, Newark, Delaware, USA.
Christiana Care Health System · USNemours Children's Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: There is extensive literature to support eliminating race-based risk stratification. The National Institute of Child Health and Human Development (NICHD) calculator, used to predict risk of bronchopulmonary dysplasia (BPD), includes race as a variable. We sought to investigate how utilizing race in determination of risk for BPD may lead to inequitable care. Methods: The study included a retrospective cohort of infants born <30 weeks gestation between January 2016 and February 2022. The primary outcome was the difference in predictive risk of BPD for non-Hispanic Black compared to non-Hispanic White infants. The secondary outcome was the disparity in theoretical administration of post-natal corticosteroids when the calculator was applied to the cohort. Analysis included paired Results: Of the 273 infants studied, 154 were non-Hispanic Black (56%). There was no difference between the groups in gestation or respiratory support on day of life (DOL) 14 or 28. The predicted risk of moderate or severe BPD in non-Hispanic White babies was greater than non-Hispanic Black babies on both DOL 14 and 28 ( Conclusion: When applied to our study cohort, the calculator resulted in a reduction in the predicted risk of BPD in non-Hispanic Black infants. If utilized to guide treatment, the calculator can potentially lead to disparities in care for non-Hispanic Black infants.

Indexed as

bronchopulmonary dysplasiadisparitiesmortalitypre-maturityrisk prediction

Identifiers

PMID38076216
PMCPMC10698790
OpenAlexW4389162203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.