Evidence map›Paper›PMID 40642170›Full record

ArticleFrontiers in nutrition2025

Prognostic utility of the global leadership initiative on malnutrition criteria in predicting outcomes after hepatectomy for hepatocellular carcinoma: a multicenter, retrospective study.

Yaohao Liang, Zhan Lu, Tianyu Ruan, Shanglin Wu, Jianyi Meng, Jie Jiang, Jiaqian He, Liyan Jiang, Ning Tan, Shengqiang Tan

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

10 authors.

Yaohao Liang *Department of Hepatobiliary and Pancreatic Surgery, Nanning Ninth People's Hospital, Nanning, China.
Zhan Lu *Department of Hepatobiliary and Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Tianyu RuanDepartment of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
Shanglin WuGuangxi Key Laboratory of Diabetic Systems Medicine, College of Basic Medical Sciences, Guilin Medical University, Guilin, China.
Jianyi MengDepartment of Hepatobiliary and Pancreatic Surgery, Nanning Ninth People's Hospital, Nanning, China.
Jie JiangClinical Nutrition Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
Jiaqian HeDepartment of Radiology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
Liyan JiangDepartment of Hepatobiliary and Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Ning TanGuangxi Key Laboratory of Diabetic Systems Medicine, College of Basic Medical Sciences, Guilin Medical University, Guilin, China.
Shengqiang TanDepartment of Hepatobiliary and Pancreatic Surgery, Nanning Ninth People's Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Global Leadership Initiative on Malnutrition (GLIM) criteria were developed to standardize diagnoses of malnutrition. However, the prognostic utility of the GLIM criteria and predictive models including GLIM criteria in patients diagnosed with hepatocellular carcinoma (HCC) undergoing hepatectomy remains largely unexplored. Methods: This retrospective study included 477 HCC patients who underwent curative hepatectomy at two centers (training cohort: Results: The prevalence of malnutrition was 30.6 and 25.6% in the training and validation cohorts, respectively. Non-malnourished patients exhibited superior overall survival (OS) across all BCLC stages ( Conclusion: GLIM-diagnosed malnutrition was an independent risk factor for OS in patients with HCC undergoing hepatectomy. The nomogram including GLIM is a good tool for predicting postoperative OS in this patient population.

Indexed as

global leadership initiative on malnutritionhepatectomyhepatocellular carcinomapredictive modelprognosis

Identifiers

PMID40642170
PMCPMC12240790

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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.