Evidence map›Paper›PMID 29992975›Full record

ArticleScientific reports2018

A Data Mining-based Prognostic Algorithm for NAFLD-related Hepatoma Patients: A Nationwide Study by the Japan Study Group of NAFLD.

Takumi Kawaguchi, Katsutoshi Tokushige, Hideyuki Hyogo, Hiroshi Aikata, Tomoaki Nakajima, Masafumi Ono, Miwa Kawanaka, Koji Sawada, Kento Imajo, Koichi Honda and 21 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

31 authors.

Takumi KawaguchiDepartment of Medicine, Kurume University School of Medicine, Kurume, Japan. takumi@med.kurume-u.ac.jp.
Katsutoshi TokushigeDepartment of Internal Medicine and Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan.
Hideyuki HyogoDepartment of Gastroenterology and Hepatology, JA Hiroshima General Hospital, Hatsukaichi, Japan.
Hiroshi AikataDepartment of Gastroenterology and Metabolism, Applied Life Science, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Tomoaki NakajimaDepartment of Hepatology, Sapporo Kosei General Hospital, Sapporo, Japan.
Masafumi OnoDepartment of Gastroenterology and Hepatology, Kochi Medical School, Nankoku, Japan.
Miwa KawanakaDepartment of General Internal Medicine2, General Medical Center, Kawasaki Medical School, Okayama, Japan.
Koji SawadaDivision of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Japan.
Kento ImajoDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Koichi HondaDepartment of Gastroenterology, Faculty of Medicine, Oita University, Yufu, Japan.
Hirokazu TakahashiInternal Medicine, Saga University faculty of Medicine, Saga, Japan.
Kohjiroh MoriCenter for Digestive and Liver Diseases, Nara City Hospital, Nara, Japan.
Saiyu TanakaCenter for Digestive and Liver Diseases, Nara City Hospital, Nara, Japan.
Yuya SekoDepartment of Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuichi NozakiDepartment of Gastroenterology, National Center for Global Health and Medicine, Tokyo, Japan.
Yoshihiro KamadaDepartment of Gastroenterology and Hepatology, Osaka University, Graduate School of Medicine, Suita, Japan.
Hideki FujiiDepartment of Hepatology, Osaka City University, Graduate School of Medicine, Osaka, Japan.
Atsushi KawaguchiCenter for Comprehensive Community Medicine Faculty of Medicine, Saga University, Saga, Japan.
Tetsuo TakeharaDepartment of Gastroenterology and Hepatology, Osaka University, Graduate School of Medicine, Suita, Japan.
Mikio YanaseDepartment of Gastroenterology, National Center for Global Health and Medicine, Tokyo, Japan.
Yoshio SumidaDivision of Hepatology and Pancreatology, Department of Internal Medicine, Aichi Medical University, Nagakute, Japan.
Yuichiro EguchiLiver Center, Saga University Hospital, Saga, Japan.
Masataka SeikeDepartment of Gastroenterology, Faculty of Medicine, Oita University, Yufu, Japan.
Masato YonedaDepartment of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan.
Yasuaki SuzukiDepartment of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan.
Toshiji SaibaraDepartment of Gastroenterology and Hepatology, Kochi Medical School, Nankoku, Japan.
Yoshiyasu KarinoDepartment of Hepatology, Sapporo Kosei General Hospital, Sapporo, Japan.
Kazuaki ChayamaDepartment of Gastroenterology and Metabolism, Applied Life Science, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Etsuko HashimotoDepartment of Internal Medicine and Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan.
Jacob GeorgeStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Takuji TorimuraDepartment of Medicine, Kurume University School of Medicine, Kurume, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of patients with nonalcoholic fatty liver disease-related hepatocellular carcinoma (NAFLD-HCC) is intricately associated with various factors. We aimed to investigate the prognostic algorithm of NAFLD-HCC patients using a data-mining analysis. A total of 247 NAFLD-HCC patients diagnosed from 2000 to 2014 were registered from 17 medical institutions in Japan. Of these, 136 patients remained alive (Alive group) and 111 patients had died at the censor time point (Deceased group). The random forest analysis demonstrated that treatment for HCC and the serum albumin level were the first and second distinguishing factors between the Alive and Deceased groups. A decision-tree algorithm revealed that the best profile comprised treatment with hepatectomy or radiofrequency ablation and a serum albumin level ≥3.7 g/dL (Group 1). The second-best profile comprised treatment with hepatectomy or radiofrequency ablation and serum albumin levels <3.7 g/dL (Group 2). The 5-year overall survival rate was significantly higher in the Group 1 than in the Group 2. Thus, we demonstrated that curative treatment for HCC and serum albumin level >3.7 g/dL was the best prognostic profile for NAFLD-HCC patients. This novel prognostic algorithm for patients with NAFLD-HCC could be used for clinical management.

Indexed as

AlgorithmsCarcinoma, HepatocellularData MiningHepatectomyHumansJapanNon-alcoholic Fatty Liver DiseasePrognosisRadiofrequency AblationSerum AlbuminSerum Albumin

Identifiers

PMID29992975
PMCPMC6041283

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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.