Evidence map›Paper›PMID 28523484›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2017

Postoperative Prognostic Nutritional Index Predicts Survival of Patients with Hepatocellular Carcinoma within Milan Criteria and Hypersplenism.

Xiaoyun Zhang, Chuan Li, Tianfu Wen, Wei Peng, Lunan Yan, Jiayin Yang

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Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

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18citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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.

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

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5 · Who and what money

Authors and funding

6 authors.

Xiaoyun ZhangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China.
Chuan LiDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China.
Tianfu WenDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China. cdwentianfu@sohu.com.
Wei PengDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China.
Lunan YanDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China.
Jiayin YangDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, Sichuan Province, 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the predictable value of postprognostic nutritional index (PNI) for patients who are suffering hepatocellular carcinoma (HCC) within Milan criteria and hypersplenism with well-preserved liver function after curative resection.

methodsPatients were divided into two groups: group A (postoperative PNI < 53.05, n = 280) and group B (postoperative PNI ≥ 53.05, n = 109), according to cutoff value of receiver-operating characteristic curve. Clinical data, overall survival (OS), and disease-free survival (DFS) were statistically compared between the two groups, and a multivariate analysis was used to identify prognostic factors.

resultsThe 1-, 3-, 5-, 7-, and 9-year OS of patients in group A were 93.3, 74.2, 53.6, 39.6, and 33.0%, respectively, and 98.9, 89.5, 79.7, 63.9, and 63.9%, respectively, for patients in group B (P = 0.001). The corresponding 1-, 3-, 5-, 7-, and 9-year DFS was 74.1, 51.1, 41.5, 30.1, 24.0, and 83.8, 64.6, 79.7, 54.0, and 49.9% for patients in the two groups, respectively (P = 0.009). Multivariable analysis revealed postoperative PNI as independent predictors of OS (P = 0.004) and DFS (P = 0.007) in patients with HCC within Milan criteria and hypersplenism after liver resection.

conclusionsPostoperative PNI, not preoperative PNI, could predict survival of patients with HCC within Milan criteria and hypersplenism after surgical resection.

Indexed as

Nutritional StatusNutrition AssessmentCarcinoma, HepatocellularDisease-Free SurvivalFemaleHepatectomyHumansHypersplenismLiver NeoplasmsMaleMiddle AgedMultivariate AnalysisPostoperative PeriodRetrospective StudiesROC CurveSurvival RateHepatocellular carcinomaHypersplenismPrognostic nutritional index

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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.