Evidence map›Paper›PMID 37718396›Full record

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

[Establishment of a nomogram model for predicting the risk of early-onset sepsis in very preterm infants].

Xin-Yu Wei, Jing Zhang, Qing-Fei Hao, Yan-Na DU, Xiu-Yong Cheng

Abstract readEnglish Abstract
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. [Risk factors and development of a prediction model of enteral feeding intolerance in critically ill children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    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.

Xin-Yu WeiDepartment of Neonatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052 , China.
Jing ZhangDepartment of Neonatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052 , China.
Qing-Fei HaoDepartment of Neonatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052 , China.
Yan-Na DUDepartment of Neonatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052 , China.
Xiu-Yong ChengDepartment of Neonatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052 , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify risk factors associated with early-onset sepsis (EOS) in very preterm infants and develop a nomogram model for predicting the risk of EOS.

methodsA retrospective analysis was conducted on 344 very preterm infants delivered at the First Affiliated Hospital of Zhengzhou University and admitted to the Department of Neonatology between January 2020 and December 2022. These infants were randomly divided into a training set (241 infants) and a validating set (103 infants) in a 7:3 ratio. The training set was further divided into two groups based on the presence or absence of EOS: EOS (

resultsThe multivariate logistic regression analysis revealed that gestational age, need for tracheal intubation in the delivery room, meconium-stained amniotic fluid, serum albumin level on the first day of life, and chorioamnionitis were risk factors for EOS in very preterm infants (

conclusionsGestational age, need for tracheal intubation in the delivery room, meconium-stained amniotic fluid, serum albumin level on the first day of life, and chorioamnionitis are significantly associated with the development of EOS in very preterm infants.The nomogram model for predicting the risk of EOS in very preterm infants, constructed based on these factors, has high predictive efficacy and clinical applicability.

Indexed as

Early-onset sepsisNomogramPredictive modelRisk factorVery preterm infant

Identifiers

PMID37718396
PMCPMC10511222

What OpenQuestion holds

Textmetadata
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.