Evidence map›Paper›PMID 33547408›Full record

ReviewJournal of perinatology : official journal of the California Perinatal Association2021

Modern pulmonary imaging of bronchopulmonary dysplasia.

Nara S Higano, J Lauren Ruoss, Jason C Woods

Abstract readReview
In one paragraph

Review in Journal of perinatology : official journal of the California Perinatal Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Imaging in neonatal respiratory disease.Paediatric respiratory reviews · 2022
    Review
  11. 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

3 authors.

Nara S HiganoCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID http://orcid.org/0000-0002-6233-161X
J Lauren RuossDivision of Neonatology, Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, USA.
Jason C WoodsCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. jason.woods@cchmc.org.

Funding

MRI Phenotyping of Severe BPD and Prediction of OutcomesR01HL146689 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI JASON C WOODS · 2019 to 2026
$4.6M
NHLBI NIH HHS R01 HL146689
6 · The paper itself

Abstract

Bronchopulmonary dysplasia (BPD) is a complex and serious cardiopulmonary morbidity in infants who are born preterm. Despite advances in clinical care, BPD remains a significant source of morbidity and mortality, due in large part to the increased survival of extremely preterm infants. There are few strong early prognostic indicators of BPD or its later outcomes, and evidence for the usage and timing of various interventions is minimal. As a result, clinical management is often imprecise. In this review, we highlight cutting-edge methods and findings from recent pulmonary imaging research that have high translational value. Further, we discuss the potential role that various radiological modalities may play in early risk stratification for development of BPD and in guiding treatment strategies of BPD when employed in varying severities and time-points throughout the neonatal disease course.

Indexed as

Bronchopulmonary DysplasiaInfant, Newborn, DiseasesHumansInfantInfant, Extremely PrematureInfant, NewbornLungMorbidity

Identifiers

PMID33547408
PMCPMC8561744

What OpenQuestion holds

Textmetadata
LicenceTDM
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.