Evidence map›Paper›PMID 41299836›Full record

ArticleJournal of clinical ultrasound : JCU2026

Predictive Value of Modified Lung Ultrasound Score for Late Respiratory Diseases in Premature Infants: A Retrospective Cohort Analysis.

Shuang Zheng, Yang Zhang, Yanan Gao, Huifen Chen, Sudan Liu

Abstract read
In one paragraph

Article in Journal of clinical ultrasound : JCU, 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

5 authors.

Shuang ZhengNeonatology Department, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China.ORCID https://orcid.org/0009-0009-2438-4129
Yang ZhangNeurology Department, Hebei General Hospital, Shijiazhuang, China.ORCID https://orcid.org/0009-0005-4709-6577
Yanan GaoObstetrical Department, The Fourth Hospital of Shijiazhuang, Shijiazhuang, Hebei Province, China.ORCID https://orcid.org/0009-0003-5477-6402
Huifen ChenNeonatology Department, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China.ORCID https://orcid.org/0009-0005-9443-3345
Sudan LiuNeonatology Department, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China.ORCID https://orcid.org/0009-0006-1872-4834

Funding

Medical Science Research Project of Hebei 20191434
6 · The paper itself

Abstract

backgroundBronchopulmonary dysplasia (BPD) is a risk factor for late respiratory diseases (LRD). Lung ultrasound (LUS) is a useful, radiation-free tool for predicting BPD, but data linking LUS to late respiratory diseases is limited.

objectiveTo assess the predictive value of the modified lung ultrasound score (mLUS) for late respiratory diseases in premature infants.

methodsWe retrospectively reviewed data from 140 premature infants born before 32 weeks of gestation, treated for atelectasis due to LRD in our ICU from December 2023 to January 2025. LRD was defined as a composite endpoint with operational criteria: (1) Worsening BPD (need for ≥ 10% FiO

resultsMultivariable logistic regression (adjusted for gestational age, birth weight, mechanical ventilation duration) showed mLUS independently predicted LRD (adjusted OR: 1.25, 95% CI: 1.10-1.42, p < 0.001), as did traditional LUS (adjusted OR: 1.19, 95% CI: 1.04-1.36, p = 0.012). Model fit was good (Hosmer-Lemeshow χ

conclusionThe modified lung ultrasound score is significantly linked to advanced respiratory disease in premature infants, demonstrating important clinical relevance.

Indexed as

Bronchopulmonary DysplasiaLungFemaleHumansInfant, NewbornInfant, PrematureMalePredictive Value of TestsRetrospective StudiesUltrasonographyadvanced respiratory diseaseatelectasismodified ultrasound examination scorepremature infants

Identifiers

PMID41299836
PMCPMC13134816

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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.