Evidence map›Paper›PMID 39267504›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

[Risk factors for initial non-invasive ventilation failure in very low birth weight infants with gestational age <32 weeks: a multicenter retrospective study].

Wen-Wen Wu, Hui Rong, Rui Cheng, Yang Yang, Fei Shen

Abstract readMulticenter StudyEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics. 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.

Wen-Wen WuDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.
Hui RongDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.
Rui ChengDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.
Yang YangDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.
Fei ShenDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the risk factors and adverse prognosis associated with initial non-invasive ventilation (NIV) failure in very low birth weight infants (VLBWI) with gestational age <32 weeks.

methodsA retrospective collection of clinical data from preterm infants admitted to the neonatal intensive care unit (NICU) in 28 tertiary hospitals in Jiangsu Province from January 2019 to December 2021 was conducted. Based on the outcomes of initial NIV, the infants were divided into a successful group and a failure group to analyze the risk factors for NIV failure and adverse prognosis.

resultsA total of 817 infants were included, with 453 males (55.4%) and 139 failures (17.0%). The failure group had lower gestational age, birth weight, and 1-minute and 5-minute Apgar scores compared to the successful group (

conclusionsSmaller gestational age, a diagnosis of RDS in the NICU, and achieving a maximum FiO

Indexed as

Gestational AgeInfant, Very Low Birth WeightNoninvasive VentilationRespiratory Distress Syndrome, NewbornFemaleHumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalMaleRetrospective StudiesRisk FactorsTreatment FailureFailureNon-invasive ventilationPreterm infantRisk factorVery low birth weight infant

Identifiers

PMID39267504
PMCPMC11404468

What OpenQuestion holds

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Registered trials

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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.