Evidence map›Paper›PMID 42591387›Full record

SynthesisFrontiers in oncology2026

Prognostic value of prognostic nutritional index in patients with hepatocellular carcinoma undergoing hepatectomy: a systematic review and meta-analysis.

Zimo Gao, Zhichen Kang, Shengpeng Yao, Xinghai Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Zimo GaoDepartment of Emergency Medicine, The Second Hospital of Jilin University, Changchun, China.
Zhichen KangDepartment of Rehabilitation, The Second Hospital of Jilin University, Changchun, China.
Shengpeng YaoDepartment of Thyroid Surgery, The Second Hospital of Jilin University, Changchun, China.
Xinghai ChenDepartment of Intensive Medicine, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the value of preoperative prognostic nutritional index (PNI) in predicting the long-term survival of patients with hepatocellular carcinoma (HCC) after hepatectomy through systematic review and meta-analysis. Methods: PubMed, Embase, Web of Science, and Cochrane Library were searched to collect observational studies on the association between preoperative PNI and prognosis of HCC patients after hepatectomy from inception to April 2026. Two researchers independently screened the literature and extracted the data, and the Newcastle-Ottawa Scale (NOS) was used to assess the risk of bias of the included studies. A random-effects model was used to evaluate the effect of PNI on overall survival (OS), disease-free survival (DFS) and recurrence-free survival (RFS). Sensitivity and subgroup analyses were performed to test the stability of the results, and Egger's test was used to assess publication bias. Results: A total of 16 studies were included. The results of the meta-analysis showed that higher preoperative PNI was associated with significantly improved OS (pooled HR = 0.44, 95%CI: 0.29-0.65, P < 0.001) and DFS (pooled HR = 0.67, 95%CI: 0.50-0.90, P = 0.007) and RFS (pooled HR = 0.76, 95%CI: 0.69-0.84, P < 0.001). Sensitivity analysis showed that the pooled results did not change direction after removing individual studies one by one. Egger's test suggested that publication bias may exist in the OS analysis, but the association between PNI and OS remained statistically significant after the correction (adjusted HR = 0.35, 95%CI: 0.17-0.75). Subgroup analysis results suggest that the PNI cutoff may be the one of the source of heterogeneity. Conclusion: Current evidence suggests that a higher preoperative prognostic nutritional index is a potential protective factor for longer overall survival, disease-free survival and recurrence-free survival in patients with HCC after curative hepatectomy. As an easily accessible composite index, PNI may serve as a complementary tool for preoperative risk assessment, but its incremental predictive value over established prognostic models requires further validation in prospective studies. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261389510, identifier CRD420261389510.

Indexed as

hepatectomyhepatocellular carcinomameta-analysisPNIprognostic nutritional index

Identifiers

PMID42591387
PMCPMC13461806

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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.