Evidence map›Paper›PMID 41914425›Full record

ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2026

[Recent advances in predicting the surgical timing for neonatal necrotizing enterocolitis].

Hong-Li Zhai, Yi Tang

Abstract readReviewEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hong-Li ZhaiDepartment of Ultrasonography, Children's Hospital of Chongqing Medical University/National Clinical Research Center for Child Health and Disorders/Ministry of Education Key Laboratory of Child Development and Disorders/Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Yi TangDepartment of Ultrasonography, Children's Hospital of Chongqing Medical University/National Clinical Research Center for Child Health and Disorders/Ministry of Education Key Laboratory of Child Development and Disorders/Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal necrotizing enterocolitis (NEC) is a life-threatening acute gastrointestinal disorder in preterm infants, characterized by high morbidity and mortality. Approximately 20%-60% of infants with NEC require emergency surgical intervention due to intestinal perforation or failure of medical management, and mortality risk increases markedly when surgery follows perforation. Traditional imaging and biomarkers have limited performance in predicting surgical timing. In recent years, multimodal imaging technologies, novel biomarkers, and machine learning algorithms have shown higher predictive value than conventional tests and clinical indicators for determining surgical timing in NEC. This review summarizes recent advances in predictive methodologies for surgical decision-making in NEC.

Indexed as

Enterocolitis, NecrotizingHumansInfant, NewbornEmerging technologyMultimodal predictionNecrotizing enterocolitisNeonateSurgical timing

Identifiers

PMID41914425
PMCPMC13037241

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.