Evidence map›Paper›PMID 38907789›Full record

ArticleJournal of ultrasound2024

Lung ultrasound in early prediction of bronchopulmonary dysplasia in pre-term babies.

Abdelrahman A Abdelrazek, Sara Mahmoud Kamel, Aya Ahmed Elshahat Elbakry, Esraa Ahmed Elmazzahy

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In one paragraph

Article in Journal of ultrasound, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Abdelrahman A AbdelrazekDepartment of Pediatrics, Cairo University Children's Hospital, Cairo, Egypt.
Sara Mahmoud KamelDiagnostic and Intervention Radiology Department, Cairo University Hospitals, Kasr Al-Ainy, Cairo, Egypt.
Aya Ahmed Elshahat ElbakryDepartment of Pediatrics, Cairo University Children's Hospital, Cairo, Egypt.
Esraa Ahmed ElmazzahyDepartment of Pediatrics, Cairo University Children's Hospital, Cairo, Egypt. dresraaelmazahy@cu.edu.eg.ORCID http://orcid.org/0000-0002-0436-2338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBronchopulmonary dysplasia (BPD) is a respiratory morbidity related to prematurity. Early prediction of BPD allows the selection of patients who would benefit from new therapies. Lung ultrasound (LUS) is a non-invasive diagnostic tool that has proven to be reliable for many neonatal diseases recently. The study aimed to detect the role of LUS in predicting BPD at days 7 and 14 of life in preterm babies.

methodsThis was a prospective cohort study that included 95 preterm babies ≤ 34 weeks. Lung ultrasounds were performed on days 7 and 14 of life.

resultsThe mean gestational age of the studied neonates was 30.25 ± 2.21 weeks. The mean birth weight was 1347.66 ± 432.14 gm. Patients who developed BPD had statistically significantly higher LUS scores on both days 7 and 14 of life. At first examination, a LUS score > 8 showed a sensitivity of 83.33% and a specificity of 60.87%, whereas at follow-up, a LUS score > 8 showed a sensitivity of 76.39% and a specificity of 82.61%. The multivariate logistic regression analysis shows that the most important factors associated with BPD were gestational age ≤ 30 weeks, LUS score at first examination > 8, platelets ≤ 245 × 10

conclusionsThe LUS score predicts BPD at 7 and 14 days of life. LUS scores increased with increasing BPD severity. LUS score > 8 was an independent factor in the prediction of BPD.

Indexed as

Bronchopulmonary DysplasiaInfant, PrematureLungUltrasonographyCohort StudiesFemaleGestational AgeHumansInfant, NewbornMalePredictive Value of TestsProspective StudiesSensitivity and SpecificityBronchopulmonary dysplasiaImaging scoreLung ultrasoundPreterm neonates

Identifiers

PMID38907789
PMCPMC11333650

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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.