Evidence map›Paper›PMID 41859382›Full record

ArticleJournal of inflammation research2026

The Predictive Value of Nomogram Model Based on Neutrophil-to-Lymphocyte Ratio (NLR) and Prothrombin Time-International Normalized Ratio (PT-INR)-to-Albumin Ratio (PTAR) for Early Bacterial Intra-Abdominal Infection After Orthotopic Liver Transplantation.

Hua-Bin Peng, Ying Liu, Fei Hou, Shuang Zhao, Yi-Zhi Zhang, Zhi-Ying He, Ting-Ting Cui, Jing-Yi Liu, Hao-Feng Xiong, Li-Ying Sun

Erratum issuedAbstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
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

5 · Who and what money

Authors and funding

10 authors.

Hua-Bin PengDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0006-8413-2378
Ying LiuDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9087-899X
Fei HouDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0003-8728-6741
Shuang ZhaoDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0003-4252-3347
Yi-Zhi ZhangDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0005-7574-6370
Zhi-Ying HeDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0007-7370-2002
Ting-Ting CuiDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0008-2274-0508
Jing-Yi LiuDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-9698-7377
Hao-Feng XiongDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-9282-8694
Li-Ying SunDepartment of Critical Liver Diseases, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0003-1101-7994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify risk factors for bacterial intra-abdominal infections (IAIs) after orthotopic liver transplantation (OLT) and establish a nomogram prediction model based on preoperative neutrophil-to-lymphocyte ratio (NLR) and preoperative prothrombin time-international normalized ratio (PT-INR)-to-albumin ratio (PTAR). Patients and Methods: We retrospectively analyzed 261 patients who received OLT between January 2020 and April 2024 in Beijing Friendship Hospital. Independent risk factors for bacterial IAIs within 30 days postoperatively were identified by logical regression analysis. The area under the receiver operating characteristic (ROC) curve (AUC) was calculated to evaluate the predictive performance of NLR and PTAR as well as the nomogram model based on them. Hepatic function was evaluated using the Child-Turcotte-Pugh (CTP) score and the Model for End-Stage Liver Disease (MELD) score. Results: Fifty patients (19.2%, 50/261) developed postoperative bacterial IAIs. The majority of the 66 isolated strains were gram-negative (63.6%). Most infections (74.0%, 37/50) occurred within two weeks postoperatively. Multivariate logistic regression analysis identified preoperative NLR, preoperative PTAR, acute physiology and chronic health evaluation II (APACHE II) score, and biliary leakage as independent risk factors. A nomogram-based prediction model was constructed utilizing the identified independent risk factors. Internal validation was conducted through the bootstrap method. The Hosmer-Lemeshow test indicated no significant deviation from the goodness-of-fit (χ Conclusion: Both the preoperative NLR and the preoperative PTAR are independent risk factors for IAIs within 30 days after OLT. The nomogram model based on NLR and PTAR can effectively predict the occurrence of IAIs after OLT.

Indexed as

international normalized ratio-to-albumin ratiointra-abdominal infectionneutrophil-to-lymphocyte rationomogram modelorthotopic liver transplantation

Identifiers

PMID41859382
PMCPMC12998682

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.