Evidence map›Paper›PMID 30077722›Full record

ArticleEBioMedicine2018

Development and Validation of Novel Diagnostic Models for Biliary Atresia in a Large Cohort of Chinese Patients.

Rui Dong, Jingying Jiang, Shouhua Zhang, Zhen Shen, Gong Chen, Yanlei Huang, Yijie Zheng, Shan Zheng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  12. Diagnostic Scoring in Biliary Atresia.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
    Article
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  17. Progress in Biomarkers Related to Biliary Atresia.Journal of clinical and translational hepatology · 2024
    Review
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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 at 3 institutions in 1 country.

Rui DongDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China.
Jingying JiangDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China.
Shouhua ZhangDepartment of General Surgery, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi Province, 330006, China.
Zhen ShenDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China.
Gong ChenDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China.
Yanlei HuangDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China.
Yijie ZhengMedical Scientific Liaison Asian Pacific, Abbott Diagnostics Division, Abbott Laboratories, Shanghai 200032, China. Electronic address: yijie.zheng@abbott.com.
Shan ZhengDepartment of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai 201102, China. Electronic address: szheng@shmu.edu.cn.
Children's Hospital of Fudan University · CNAbbott (China) · CNJiangxi Provincial Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsThe overlapping features of biliary atresia (BA) and the other forms of neonatal cholestasis (NC) with different causes (non-BA) has posed challenges for the diagnosis of BA. This study aimed at developing new and better diagnostic models for BA.

methodsWe retrospectively analyzed data from 1728 newborn infants with neonatal obstructive jaundice (NOJ). New prediction models, including decision tree (DT), random forest (RF), and multivariate logistic regression-based nomogram for BA were created and externally validated in an independent set of 508 infant patients.

resultsFiver predictors, including gender, weight, direct bilirubin (DB), alkaline phosphatase (ALP), and gamma-glutamyl transpeptidase (GGT) were significantly different between the BA and non-BA groups (P < .05), from which DT, RF, and nomogram models were developed. The area under the receiver operating characteristic (ROC) curve (AUC) value for the nomogram was 0.898, which was greater than that of a single biomarker in the prediction of BA. Performance comparison of the three diagnostic models showed that the nomogram displayed better discriminative ability (sensitivity, 85.7%; specificity, 80.3%; PPV, 0.969) at the optimal cut-off value compared with DT and RF, which had relatively similar high sensitivity and PPV (0.941 and 0.947, respectively), but low specificity in the modeling group. In sub-analysis of the discriminative capacity between the nomogram and GGT (<300 or ≥ 300), we found that the nomogram was superior to the GGT alone in the preoperative diagnosis of BA.

conclusionsThe nomogram has demonstrated better performance for the prediction of BA, holding promise for future clinical application.

Indexed as

Alkaline PhosphataseAsian PeopleBiliary AtresiaBilirubinCholestasisCohort StudiesDecision TreesFemalegamma-GlutamyltransferaseHumansInfantInfant, NewbornJaundice, NeonatalMaleNomogramsAlkaline PhosphataseBilirubingamma-GlutamyltransferaseBiliary atresiaGamma-glutamyl transpeptidaseNeonatal cholestasisNomogram

Identifiers

PMID30077722
PMCPMC6116426
OpenAlexW2887852364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.