Evidence map›Paper›PMID 26020028›Full record

ReviewLiver cancer2015

Surveillance, diagnosis, treatment, and outcome of liver cancer in Japan.

Masatoshi Kudo

Abstract readReview
In one paragraph

Review in Liver cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
–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

83 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
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  5. Trial
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  8. Article
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  11. Early screening for liver cancer must be performed.World journal of hepatology · 2025
    Review
  12. Article
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  15. Review
  16. Review
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  19. Disparities in stage at diagnosis for liver cancer in China.Journal of the National Cancer Center · 2023
    Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

1 author.

Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kinki University School of Medicine, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the fifth most common type of cancer and the third leading cause of cancer-related death worldwide. HCC is most common in Asia, but its prevalence is rapidly increasing in Western countries; consequently, HCC is a global medical issue that urgently needs to be addressed. Japan is the only developed country that has experienced both hepatitis B-related and hepatitis C-related HCC and has a long history of innovation when it comes to new diagnostic and therapeutic modalities, such as computed tomography angiography, anatomical resection, ablation, and transarterial chemoembolization. Among these innovations, a nationwide surveillance program was well established by the 1980s, and such a long-term national program does not exist anywhere else in the world. SUMMARY: More than 60% of the initially detected HCCs in Japan are Barcelona Clinic Liver Cancer stage 0 or A, which can undergo curative therapies such as resection, ablation, or transplantation. The recent 5-year survival rate of HCC patients in Japan was 43% and the median survival time was 50 months. In addition, both incidence and mortality rates are drastically declining as a result of the successful surveillance program, careful diagnostic flow, and extensive repeated treatments. KEY MESSAGE: Japan's successful model in the surveillance, diagnosis, and treatment of HCC should be adopted as widely as possible to improve the survival of HCC patients worldwide.

Indexed as

DiagnosisHepatocellular carcinomaPrognosisSurveillance/screeningTreatment algorithm

Identifiers

PMID26020028
PMCPMC4439792

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.