Evidence map›Paper›PMID 38958717›Full record

ArticleLung2024

Establishment and Validation of a Risk Prediction Model for Non-Invasive Ventilation Failure After Birth in Premature Infants with Gestational Age < 32 Weeks.

Fei Shen, Meng-Ya Yu, Hui Rong, Yan Guo, Yun-Su Zou, Rui Cheng, Yang Yang

Registry-linked trialAbstract readValidation StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in Lung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07186790 (Risk Factors for Initial Non Invasive Ventilation Failure in Preterms With Gestational Age <32 Weeks in Neonatal Intensive Care Units of Assiut University Children Hospital ,One Year Study), which is not on this 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.

NCT07186790 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Risk Factors for Initial Non Invasive Ventilation Failure in Preterms With Gestational Age <32 Weeks in Neonatal Intensive Care Units of Assiut University Children Hospital ,One Year Study

TypeobservationalSponsorAssiut UniversityRan2025 to 2025Enrolled160ConditionsNon Invasive Ventilation Failure in Preterms
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

7 authors.

Fei Shen *Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China.
Meng-Ya Yu *Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China.
Hui RongDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China.
Yan GuoDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China.
Yun-Su ZouDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China.
Rui ChengDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China. chengrui350@163.com.
Yang YangDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, Jiangsu, People's Republic of China. yy860507@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was performed to construct and validate a risk prediction model for non-invasive ventilation (NIV) failure after birth in premature infants with gestational age < 32 weeks.

methodsThe data were derived from the multicenter retrospective study program - Jiangsu Provincial Neonatal Respiratory Failure Collaboration Network from Jan 2019 to Dec 2021. The subjects finally included were preterm infants using NIV after birth with gestational age less than 32 weeks and admission age within 72 h. After screening by inclusion and exclusion criteria, 1436 babies were subsequently recruited in the study, including 1235 infants in the successful NIV group and 201 infants in the failed NIV group.

results(1) Gestational age, 5 min Apgar, Max FiO

conclusionThis model performed well on dimensions of discrimination, calibration, and clinical validity. This model can serve as a useful tool for neonatologists to predict whether premature infants will experience NIV failure after birth.

Indexed as

Gestational AgeInfant, PrematureNoninvasive VentilationTreatment FailureFemaleHumansInfant, NewbornMaleRespiratory Distress Syndrome, NewbornRetrospective StudiesRisk AssessmentRisk FactorsInvasive ventilationNon-invasive ventilationPrediction modelPreterm infantsRisk factor

Identifiers

PMID38958717

What OpenQuestion holds

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Registered trials

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.