Evidence map›Paper›PMID 37268672›Full record

ArticleScientific reports2023

Simple new clinical score to predict hepatocellular carcinoma after sustained viral response with direct-acting antivirals.

Takao Watanabe, Yoshio Tokumoto, Kouji Joko, Kojiro Michitaka, Norio Horiike, Yoshinori Tanaka, Atsushi Hiraoka, Fujimasa Tada, Hironori Ochi, Yoshiyasu Kisaka and 11 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 13 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

21 authors at 8 institutions in 1 country.

Takao WatanabeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Yoshio TokumotoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan. yotoku@m.ehime-u.ac.jp.
Kouji JokoCenter for Liver-Biliary-Pancreatic Diseases, Matsuyama Red Cross Hospital, 1 Bunkyocho, Matsuyama, Ehime, 790-8524, Japan.
Kojiro MichitakaDepartment of Gastroenterology, Ehime Prefectural Central Hospital, 83 Kasugamachi, Matsuyama, Ehime, 790-0024, Japan.
Norio HoriikeDepartment of Gastroenterology, Saiseikai Imabari Hospital, 7-1-6 Kitamura, Imabari, Ehime, 799-1502, Japan.
Yoshinori TanakaDepartment of Gastroenterology, Matsuyama Shimin Hospital, 2-6-5 Ootemachi, Matsuyama, Ehime, 790-0067, Japan.
Atsushi HiraokaDepartment of Gastroenterology, Ehime Prefectural Central Hospital, 83 Kasugamachi, Matsuyama, Ehime, 790-0024, Japan.
Fujimasa TadaDepartment of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan.
Hironori OchiCenter for Liver-Biliary-Pancreatic Diseases, Matsuyama Red Cross Hospital, 1 Bunkyocho, Matsuyama, Ehime, 790-8524, Japan.
Yoshiyasu KisakaDepartment of Gastroenterology, Uwajima City Hospital, 1-1 Gotenmachi, Uwajima, Ehime, 798-8510, Japan.
Seiji NakanishiDepartment of Gastroenterology, Ehime Prefectural Imabari Hospital, 4-5-5 Ishiicho, Imabari, Ehime, 794-0006, Japan.
Sen YagiDepartment of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan.
Kazuhiko YamauchiDepartment of Gastroenterology, National Hospital Organization Ehime Medical Center, 366 Yokogawara, Toon, Ehime, 791-0203, Japan.
Makoto HigashinoDepartment of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan.
Kana HirookaDepartment of Gastroenterology, National Hospital Organization Ehime Medical Center, 366 Yokogawara, Toon, Ehime, 791-0203, Japan.
Makoto MoritaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Yuki OkazakiDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Atsushi YukimotoDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Masashi HirookaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Masanori AbeDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Yoichi HiasaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Ehime University · JPEhime Prefectural Central Hospital · JPSaiseikai Matsuyama Hospital · JPEhime Medical Center · JPMatsuyama Red Cross Hospital · JPMatsuyama Shimin Hospital · JPSaiseikai Ibaraki Hospital · JPUwajima City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The time point of the most precise predictor of hepatocellular carcinoma (HCC) development after viral eradication with direct-acting antiviral (DAA) therapy is unclear. In this study we developed a scoring system that can accurately predict the occurrence of HCC using data from the optimal time point. A total of 1683 chronic hepatitis C patients without HCC who achieved sustained virological response (SVR) with DAA therapy were split into a training set (999 patients) and a validation set (684 patients). The most accurate predictive scoring system to estimate HCC incidence was developed using each of the factors at baseline, end of treatment, and SVR at 12 weeks (SVR12). Multivariate analysis identified diabetes, the fibrosis-4 (FIB-4) index, and the α-fetoprotein level as independent factors at SVR12 that contributed to HCC development. A prediction model was constructed with these factors that ranged from 0 to 6 points. No HCC was observed in the low-risk group. Five-year cumulative incidence rates of HCC were 1.9% in the intermediate-risk group and 15.3% in the high-risk group. The prediction model at SVR12 most accurately predicted HCC development compared with other time points. This simple scoring system combining factors at SVR12 can accurately evaluate HCC risk after DAA treatment.

Indexed as

Carcinoma, HepatocellularHepatitis C, ChronicLiver NeoplasmsAntiviral AgentsHumansRisk FactorsAntiviral Agents

Identifiers

PMID37268672
PMCPMC10238506
OpenAlexW4379197675

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LicenceCC BY
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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.