Evidence map›Paper›PMID 34950776›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2021

Combination of psoas muscle mass index and neutrophil/lymphocyte ratio as a prognostic predictor for patients undergoing nonsurgical hepatocellular carcinoma therapy.

Yusuke Sugama, Koji Miyanishi, Takahiro Osuga, Shingo Tanaka, Kota Hamaguchi, Ryo Ito, Hiroki Sakamoto, Tomohiro Kubo, Hiroyuki Ohnuma, Kazuyuki Murase and 3 more

Open access · goldAbstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  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

13 authors at 1 institution in 1 country.

Yusuke SugamaDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Koji MiyanishiDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.ORCID https://orcid.org/0000-0002-6466-3458
Takahiro OsugaDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Shingo TanakaDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Kota HamaguchiDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Ryo ItoDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Hiroki SakamotoDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Tomohiro KuboDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.ORCID https://orcid.org/0000-0002-5585-0972
Hiroyuki OhnumaDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.ORCID https://orcid.org/0000-0002-4350-6971
Kazuyuki MuraseDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Kohich TakadaDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.
Masayoshi KobuneDepartment of Hematology Sapporo Medical University School of Medicine Sapporo Japan.ORCID https://orcid.org/0000-0003-3828-8444
Junji KatoDepartment of Medical Oncology Sapporo Medical University School of Medicine Sapporo Japan.ORCID https://orcid.org/0000-0002-7367-8344
Sapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimReliable predictors for hepatocellular carcinoma (HCC) are urgently needed. The psoas muscle index (PMI) is a simple and rapid method for evaluating muscle atrophy. Furthermore, the neutrophil/lymphocyte ratio (NLR) is a prognostic factor that is easy to calculate in everyday clinical practice. We aimed to investigate the value of the PMI and NLR as prognostic factors for patients receiving nonsurgical HCC therapy, hepatic arterial infusion chemotherapy (HAIC), transcatheter arterial chemoembolization (TACE), or molecular targeted drugs such as sorafenib (SOR) and lenvatinib (LEN).

methodsWe enrolled 87 patients with HCC who were treated with HAIC, TACE, SOR, or LEN. The primary endpoint was overall survival (OS) with variable PMI or NLR status. For Barcelona Clinic Liver Cancer (BCLC)-B patients, useful prognostic factors were examined by comparing the OS between stratified groups. Prognostic factors including PMI and NLR were evaluated by univariate and multivariate analysis.

resultsAnalysis of HAIC or TACE (HAIC/TACE) and SOR or LEN (SOR/LEN) patients showed significant differences in OS between low and high PMI. In patients treated with TACE, there was a significant difference in OS between low and high NLR. For BCLC-B and low PMI, the prognosis was significantly worse for SOR/LEN than for TACE, although there was no difference for high PMI, suggesting that PMI may be useful for treatment selection. In addition, the prognostic formula composed of PMI, NLR, and up-to-seven criteria developed in the present study may be useful.

conclusionPMI and NLR are considered to be independent prognostic factors for HCC.

Indexed as

drug therapyhepatocellular carcinomamolecular targeted therapyprognosissarcopenia

Identifiers

PMID34950776
PMCPMC8674551
OpenAlexW3215389001

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.