Evidence map›Paper›PMID 37874508›Full record

ArticleWorld journal of pediatrics : WJP2024

Development and validation of a nomogram to predict allograft survival after pediatric liver transplantation.

Guang-Xiang Gu, Shu-Ting Pan, Yi-Chen Fan, Chen Chen, Qiang Xia

Open access · hybridAbstract read
In one paragraph

Article in World journal of pediatrics : WJP, 2024. 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
1.6field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Guang-Xiang GuDepartment of Liver Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 160 Pujian Road, Pudong New District, Shanghai, 200128, China. guguangxiang@163.com.ORCID 0000-0001-9168-7415
Shu-Ting PanClinical Center for Investigation, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yi-Chen FanDepartment of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chen ChenDepartment of Liver Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 160 Pujian Road, Pudong New District, Shanghai, 200128, China.
Qiang XiaDepartment of Liver Surgery, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 160 Pujian Road, Pudong New District, Shanghai, 200128, China. xiaqiang@shsmu.edu.cn.
Renji Hospital · CNSun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81700570
6 · The paper itself

Abstract

backgroundLiver transplantation is the main treatment for cholestatic liver disease and some metabolic liver diseases in children. However, no accurate prediction model to determine the survival probability of grafts prior to surgery exists. This study aimed to develop an effective prognostic model for allograft survival after pediatric liver transplantation.

methodsThis retrospective cohort study included 2032 patients who underwent pediatric liver transplantation between January 1, 2006, and January 1, 2020. A nomogram was developed using Cox regression and validated based on bootstrap sampling. Predictive and discriminatory accuracies were determined using the concordance index and visualized using calibration curves; net benefits were calculated for model comparison. An online Shiny application was developed for easy access to the model.

resultsMultivariable analysis demonstrated that preoperative diagnosis, recipient age, body weight, graft type, preoperative total bilirubin, interleukin-1β, portal venous blood flow direction, spleen thickness, and the presence of heart disease and cholangitis were independent factors for survival, all of which were selected in the nomogram. Calibration of the nomogram indicated that the 1-, 3-, and 5-year predicted survival rates agreed with the actual survival rate. The concordance indices for graft survival at 1, 3, and 5 years were 0.776, 0.757, and 0.753, respectively, which were significantly higher than those of the Pediatric End-Stage Liver Disease and Child-Pugh scoring systems. The allograft dysfunction risk of a recipient could be easily predicted using the following URL: https://aspelt.shinyapps.io/ASPELT/ /

conclusionThe allograft survival after pediatric liver transplantation (ASPELT) score model can effectively predict the graft survival rate after liver transplantation in children, providing a simple and convenient evaluation method for clinicians and patients.

Indexed as

End Stage Liver DiseaseLiver TransplantationAllograftsChildHumansNomogramsPrognosisRetrospective StudiesSeverity of Illness IndexAllograft survivalNomogramPediatric liver transplantation

Identifiers

PMID37874508
PMCPMC10957674
OpenAlexW4387893304

What Socratic 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 Socratic graph.