Evidence map›Paper›PMID 41695692›Full record

ArticlePeerJ2026

Retrospective assessment of the predictors of neonatal and infantile cholestasis with and without liver failure: an experience from Southeast China.

Yijun Lin, Rui Zhang, Weijie Ou, Hong Ye

Abstract read
In one paragraph

Article in PeerJ, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yijun LinDepartment of Pediatrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Rui ZhangDepartment of Pediatrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Weijie OuDepartment of Pediatrics, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, China.
Hong YeDepartment of Pediatrics, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal and infantile cholestasis with liver failure (LF) is a life-threatening condition. To identify predictive factors, it is essential to develop and validate novel nomograms for predicting neonatal and infantile cholestasis with LF separately in Southeast China. Methods: The medical records of neonates and infants with cholestasis at Fujian Maternity and Child Health Hospital from April 27, 2012, to July 11, 2023, were retrospectively analyzed as the development cohort. An external validation cohort was assembled from Fujian Children's Hospital during the same period. Univariate analysis was initially conducted on the relevant indices, then the least absolute shrinkage and selection operator was performed to assess independent predictive factors. Further multivariate logistic regression analysis was conducted to identify independent predictors and develop predictive nomograms. Area under the curve (AUC) of receiver operating characteristic, calibration curves and decision curve analysis (DCA) were used to evaluate and validate the model and subsequently confirmed with the external validation group. Results: A total of 1,793 neonates and 583 infants were included in the development cohort, and 374 neonates and 232 infants in the external validation cohort. The neonatal nomogram included six variables that were significant independent predictors of LF: gestational age ( Conclusion: This study developed and externally validated age-specific models for predicting LF in cholestasis patients. These nomograms show good clinical utility and can help pediatricians identify LF cases early, potentially improving outcomes in Southeast China.

Indexed as

CholestasisLiver FailureNomogramsChinaFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesROC CurveCholestasisInfantileLiver failureNeonatalPredictor

Identifiers

PMID41695692
PMCPMC12903896

What Socratic holds

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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 Socratic graph.