Evidence map›Paper›PMID 42369884›Full record

ArticleTherapeutic advances in infectious disease

Interpretable machine learning models for pre- and postoperative prediction of early intra-abdominal infections after liver transplantation: a multicenter retrospective cohort study.

Shuang Cao, Hua-Bin Peng, Xin-Zhe Wei, Lei Wang, Ying Liu, Wei Qu, Zhi-Gui Zeng, Hai-Ming Zhang, Lin Wei, Hao-Feng Xiong and 4 more

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In one paragraph

Article in Therapeutic advances in infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

1 citing paper in PubMed.

  1. 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

14 authors.

Shuang CaoLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hua-Bin PengDepartment of Critical Liver Diseases, Clinical Research Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, China National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xin-Zhe WeiDepartment of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China.
Lei WangBeijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Ying LiuDepartment of Critical Liver Diseases, Clinical Research Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, China National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Wei QuLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhi-Gui ZengLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hai-Ming ZhangLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lin WeiLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hao-Feng XiongDepartment of Critical Liver Diseases, Clinical Research Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, China National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Fei HouDepartment of Critical Liver Diseases, Clinical Research Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, Beijing Key Laboratory of Tolerance Induction and Organ Protection in Transplantation, China National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhi-Jun ZhuLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China zhu.
Wei GaoDepartment of Liver Transplantation, Tianjin First Central Hospital, Tianjin 300190, China.
Li-Ying SunLiver Transplantation Center, Clinical Center for Pediatric Liver Transplantation, State Key Lab of Digestive Health, Laboratory for Clinical Medicine, China National Clinical Research Center for Digestive Diseases, Beijing Key Laboratory of Organ Cultivation and Organ Protection in Transplantation, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China.ORCID https://orcid.org/0000-0003-1101-7994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early intra-abdominal infections (EIAIs) are among the most frequent and life-threatening complications following liver transplantation (LT). Early identification of high-risk patients remains challenging, and no standardized risk stratification tool is currently available. Objective: To develop and externally validate interpretable machine learning (ML) models for preoperative and postoperative prediction of EIAIs after LT. Design: A multicenter retrospective cohort study. Methods: A total of 363 adult LT recipients were included (Center 1: Results: The stacking models demonstrated superior performance. For pre-LIFT, the areas under receiver operator characteristic curve (ROC) curves (AUCs) were 0.995 ± 0.004 (training), 0.818 ± 0.056 (testing), and 0.796 ± 0.024 (external validation). For post-LIFT, AUCs were 0.996 ± 0.003, 0.847 ± 0.055, and 0.858 ± 0.026, respectively. Both models significantly outperformed model for end-stage liver disease and Child-Turcotte-Pugh scores (all Conclusion: We developed and externally validated interpretable ML-based models (LIFT) for predicting EIAIs after LT. These models enable individualized risk stratification at both preoperative and postoperative stages and may support personalized infection surveillance and management strategies. Prospective validation is warranted.

Indexed as

infection predictionintra-abdominal infectionsliver transplantationmachine learningSHAP interpretability

Identifiers

PMID42369884
PMCPMC13305796

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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.