Machine Learning-Based Prediction of Surgical Intervention in Preterm Infants with Necrotizing Enterocolitis: A Retrospective Cohort Study.

Ying Li, Peipei Zhang, Jing Wu, Ying Wang, Ying Chen, Sihan Sheng, Yajuan Wang, Xiaohui Li

Abstract read

In one paragraph

Article in Children (Basel, Switzerland), 2025. 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.

Machine-Learning Models Outperform Clinicians in Predicting Postnatal Growth Failure Among Very Low Birth Weight Infants.Diagnostics (Basel, Switzerland) · 2026
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

8 authors.

Ying LiCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Peipei ZhangDepartment of Neonatal Intensive Care Unit, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.

Jing WuCenter for Evidence-Based Medicine, Capital Center for Children's Health, Capital Medical University, Capital Institute of Pediatrics, Beijing 100020, China.

Ying WangDepartment of Neonatology Surgery, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.

Ying ChenDepartment of Neonatal Intensive Care Unit, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.

Sihan ShengCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Yajuan WangDepartment of Neonatal Intensive Care Unit, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.

Xiaohui LiCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Funding

high-level Public Health Technical Personnel Construction Project of Beijing 367 Municipal Health Commission Principal investigator-03-02Research Foundation of Capital Institute of Pediatrics LCYJ-2025-38

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

machine learningnecrotizing enterocolitispreterm infantsSHAP interpretabilitysurgical intervention

Identifiers

PMID41597029

DOI10.3390/children13010021

PMCPMC12839886

What OpenQuestion holds

Textmetadata

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.