Evidence map›Paper›PMID 35015195›Full record

ArticleInternational journal of clinical oncology2022

Novel combined fibrosis-based index predicts the long-term outcomes of hepatocellular carcinoma after hepatic resection.

Mitsuru Yanagaki, Yoshihiro Shirai, Ryoga Hamura, Tomohiko Taniai, Yoshiaki Tanji, Koichiro Haruki, Kenei Furukawa, Shinji Onda, Hiroaki Shiba, Toru Ikegami

Abstract read
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In one paragraph

Article in International journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Mitsuru YanagakiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Yoshihiro ShiraiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan. shirai@jikei.ac.jp.ORCID http://orcid.org/0000-0002-4907-0101
Ryoga HamuraDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Tomohiko TaniaiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Yoshiaki TanjiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Koichiro HarukiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Kenei FurukawaDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Shinji OndaDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Hiroaki ShibaDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Toru IkegamiDivision of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
Jikei University School of Medicine · JP

Funding

Japan Society for the Promotion of Science 20K17665
6 · The paper itself

Abstract

aimLiver fibrosis influences liver regeneration and surgical outcomes. The fibrosis-4 (FIB-4) index is strongly associated with liver fibrosis and cirrhosis. This study aimed to examine the prognostic significance of the combination of FIB-4 index and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) (PIVKA-II-FIB-4 index score) in patients who underwent curative resection for hepatocellular carcinoma (HCC).

methodsWe included 284 patients who underwent elective hepatic resection for HCC between January 2000 and December 2018. We retrospectively investigated how FIB-4 index is related to disease-free survival and overall survival.

resultsAccording to a receiver operating characteristic (ROC) analysis, the optimal cutoff value of the FIB-4 index was 3.44. In a multivariate analysis, high PIVKA-II and FIB-4 index values were independent predictors of both disease-free survival (P = 0.013 and P = 0.005, respectively) and overall survival (P = 0.048 and P < 0.001, respectively). We classified the PIVKA-II and FIB-4 index levels into two groups (high vs. low) and calculated a new score (PIVKA-II-FIB-4 index score; 0-2) by the sum of each measurement (high, 1; low, 0). The 5 year overall survival rates of patients with PIVKA-II-FIB-4 index scores of 0, 1, and 2 were 84.9, 74.4, and 47.1%, respectively (P < 0.001).

conclusionThe combination of the preoperative PIVKA-II and FIB-4 index may be a prognostic factor of HCC after hepatic resection, suggesting that the combined score is useful in assessing the liver fibrosis status in cancer cases.

Indexed as

Carcinoma, HepatocellularLiver Neoplasmsalpha-FetoproteinsBiomarkersBiomarkers, TumorFibrosisHumansProthrombinRetrospective StudiesROC Curvealpha-FetoproteinsBiomarkersBiomarkers, TumorProthrombinFibrosis-4 indexHepatic resectionHepatocellular carcinomaPIVKA-IIPrognostic factor

Identifiers

PMID35015195
OpenAlexW4206280591

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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.