Evidence map›Paper›PMID 41340991›Full record

ArticleFrontiers in surgery2025

Development of a risk prediction model for acute kidney injury in liver transplant recipients.

Dahui Wang, Xin Chen, Yanchen Tang, Wei Xiao, Kangqing Xu, Jiehua Deng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

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

6 authors.

Dahui Wang *Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
Xin Chen *Department of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
Yanchen TangDepartment of Anesthesiology, The Affiliated Changde Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Wei XiaoDepartment of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
Kangqing XuDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jiehua Deng *Department of Plastic and Aesthetic Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and internally validate a nomogram for early postoperative prediction of acute kidney injury (AKI) within 7 days after orthotopic liver transplantation (LT). Methods: We retrospectively analyzed 500 orthotopic liver transplants at the First Affiliated Hospital of Sun Yat-sen University (January 1, 2016-April 30, 2022). Patients were randomly split into training ( Results: BMI, operation time, intraoperative urine volume, and postoperative levels of urea nitrogen, blood ammonia, and procalcitonin were identified as independent risk factors for AKI after LT ( Conclusion: The nomogram predictive model developed in this study shows good accuracy and can be conveniently applied for early identification and risk prediction of acute kidney injury following liver transplantation.

Indexed as

acute kidney injuryliver transplantationnomogrampredictive modelrisk factors

Identifiers

PMID41340991
PMCPMC12669099

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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.