Evidence map›Paper›PMID 37628372›Full record

ArticleChildren (Basel, Switzerland)2023

The Most Valuable Predictive Factors for Bronchopulmonary Dysplasia in Very Preterm Infants.

Wenwen Chen, Zhenhai Zhang, Liping Xu, Chao Chen

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 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
0.8field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. Incidence and factors associated with bronchopulmonary dysplasia: a cohort study in a high-risk Colombian neonatal intensive care unit.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026
    Observational
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 at 3 institutions in 1 country.

Wenwen ChenZhangzhou Municipal Hospital of Fujian Province and Zhangzhou Affiliated Hospital, Fujian Medical University, Zhangzhou 363000, China.
Zhenhai ZhangZhangzhou Municipal Hospital of Fujian Province and Zhangzhou Affiliated Hospital, Fujian Medical University, Zhangzhou 363000, China.
Liping XuZhangzhou Municipal Hospital of Fujian Province and Zhangzhou Affiliated Hospital, Fujian Medical University, Zhangzhou 363000, China.
Chao ChenChildren's Hospital, Fudan University, Shanghai 201102, China.
Zhangzhou Municipal Hospital of Fujian Province · CNChildren's Hospital of Fudan University · CNFujian Medical University · CN

Funding

Startup Fund for scientific research of Fujian Medical University NO.2021QH1257
6 · The paper itself

Abstract

introductionIt is urgent to make a rapid screening of infants at the highest risk for bronchopulmonary dysplasia (BPD) via some succinct postnatal biomarkers, such as

methodsA retrospective study was performed. Moderate to severe BPD or death was set as the main outcome. The association between putative variables and the main outcome were assessed by bivariate analyses and logistic regression.

resultsA total of 134 infants were enrolled. Bivariate analyses showed the gestational age, birth weight, appearances of diffuse opacities or grid shadows/interstitial opacities or mass opacities or cystic lucencies on chest radiographic images, a ductal diameter ≥1.5 mm and whether

conclusionsChest radiograph images (appearance of diffuse opacities or grid shadows/interstitial opacities or mass opacities or cystic lucencies) could provide a quick prediction of developing BPD in clinical practice, in addition to gestational age and sex.

Indexed as

BPDchest radiographpreterm infantsrisk factors

Identifiers

PMID37628372
PMCPMC10453202
OpenAlexW4385759134

What OpenQuestion holds

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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.