Evidence map›Paper›PMID 36869207›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2023

Impact of Geriatric Nutritional Risk Index After Initial Hepatectomy for Hepatocellular Carcinoma: a Retrospective Cohort Study with the Hiroshima Surgical Study Group of Clinical Oncology (HiSCO).

Yuki Imaoka, Masahiro Ohira, Tsuyoshi Kobayashi, Naruhiko Honmyo, Michinori Hamaoka, Takashi Onoe, Tomoyuki Abe, Koichi Oishi, Masashi Inoue, Hideki Ohdan and 1 more

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Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. [The value of the nutritional assessment index or score in prognostic evaluation for patients with liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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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

11 authors.

Yuki ImaokaDepartment of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima University, Hiroshima, Japan.
Masahiro OhiraDepartment of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima University, Hiroshima, Japan. mohira@hiroshima-u.ac.jp.ORCID 0000-0002-5433-5303
Tsuyoshi KobayashiDepartment of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima University, Hiroshima, Japan.
Naruhiko HonmyoDepartment of Surgery, Hiroshima City North Medical Center Asa Citizens Hospital, Hiroshima, Japan.
Michinori HamaokaDepartment of Gastroenterological, Breast and Transplant Surgery, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Takashi OnoeDepartment of Surgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Kure City, Japan.
Tomoyuki AbeDepartment of Surgery, Onomichi General Hospital, Onomichi City, Japan.
Koichi OishiDepartment of Surgery, Chugoku Rosai Hospital, Kure City, Japan.
Masashi InoueDepartment of Surgery, National Hospital Organization Higashihiroshima Medical Center, Higashihiroshima City, Japan.
Hideki OhdanDepartment of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima University, Hiroshima, Japan.
Hiroshima Surgical study group of Clinical Oncology (HiSCO)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe importance of a nutrition scoring system, including the geriatric nutritional risk index (GNRI), was reported as an objective tool widely used to assess nutritional status in patients with inflammatory disease, chronic heart failure, and chronic liver disease. However, studies on the relationship between GNRI and the prognosis in patients who have undergone initial hepatectomy have been limited. Thus, we conducted a multi-institutional cohort study to clarify the relationship between GNRI and long-term outcomes for hepatocellular carcinoma (HCC) patients after such a procedure.

methodsData from 1,494 patients who underwent initial hepatectomy for HCC between 2009 and 2018 was retrospectively collected from a multi-institutional database. The patients were divided into two groups according to GNRI grade (cutoff: 92), and their clinicopathological characteristics and long-term results were compared.

resultsOf the 1,494 patients, the low-risk group (≥ 92; N = 1,270) was defined as having a normal nutritional status. Meanwhile, low GNRI (< 92; N = 224) were divided into malnutrition as the high-risk group. Multivariate analysis identified seven prognostic factors of poor overall survival (higher tumor markers; α-fetoprotein (AFP) and des-γ-carboxy protein [DCP], higher ICG-R15 levels, larger tumor size, multiple tumors, vascular invasion, and lower GNRI and eight prognostic factors of high recurrence (HCV antibody positive, higher ICG-R15 levels, higher tumor markers such as AFP and DCP, greater bleeding, multiple tumors, vascular invasion, and lower GNRI).

conclusionsIn patients with HCC, preoperative GNRI predicts poorer overall survival and high recurrence.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAgedalpha-FetoproteinsBiomarkers, TumorCohort StudiesGeriatric AssessmentHepatectomyHumansMedical OncologyNutritional StatusPrognosisRetrospective StudiesRisk Factorsalpha-FetoproteinsBiomarkers, TumorGeriatric nutritional risk indexHCCLiver resectionNutritionPrognosis

Identifiers

PMID36869207

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Registered trials

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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.