Evidence map›Paper›PMID 28989095›Full record

ReviewJournal of hepatology2018

Risk factors and prevention of hepatocellular carcinoma in the era of precision medicine.

Naoto Fujiwara, Scott L Friedman, Nicolas Goossens, Yujin Hoshida

Open access · greenAbstract readReview
In one paragraph

Review in Journal of hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 392 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
392citing papers in PubMed, 9 pooled it
29.7field-weighted citation impact, top 1% 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

392 citing papers in PubMed, 9 syntheses or guidelines pooled it, 679 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. [Meta-analysis of the efficacy of the Fuzheng Huayu formula in the treatment of hepatitis B-associated liver fibrosis or cirrhosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Pooled it
  4. Pooled it
  5. Guideline
  6. Pooled it
  7. Pooled it
  8. Guideline
  9. Pooled it
  10. Trial
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Crosstalk BetweenCancers · 2026
    Review
  17. Article
  18. LncRNA SNHG3: a potential biomarker for human diseases.Frontiers in cell and developmental biology · 2026
    Review
  19. Article
  20. Review

332 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

4 authors at 3 institutions in 3 countries.

Naoto FujiwaraDivision of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, USA; Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Japan.
Scott L FriedmanDivision of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, USA.
Nicolas GoossensDivision of Gastroenterology and Hepatology, Geneva University Hospital, Geneva, Switzerland.
Yujin HoshidaDivision of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, USA. Electronic address: yujin.hoshida@mssm.edu.
Icahn School of Medicine at Mount Sinai · USThe University of Tokyo · JPUniversity Hospital of Geneva · CH

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Molecular Prognostic Indicators in Liver Cirrhosis and CancerR01DK099558 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HOSHIDA, YUJIN · 2013 to 2016
$2.6M
European Research Council 671231NIDDK NIH HHS R01 DK099558
6 · The paper itself

Abstract

Patients who develop chronic fibrotic liver disease, caused by viral or metabolic aetiologies, are at a high risk of developing hepatocellular carcinoma (HCC). Even after complete HCC tumour resection or ablation, the carcinogenic tissue microenvironment in the remnant liver can give rise to recurrent de novo HCC tumours, which progress into incurable, advanced-stage disease in most patients. Thus, early detection and prevention of HCC development is, in principle, the most impactful strategy to improve patient prognosis. However, a "one-size-fits-all" approach to HCC screening for early tumour detection, as recommended by clinical practice guidelines, is utilised in less than 20% of the target population, and the performance of screening modalities, including ultrasound and alpha-fetoprotein, is suboptimal. Furthermore, optimal screening strategies for emerging at-risk patient populations, such as those with chronic hepatitis C after viral cure, or those with non-cirrhotic, non-alcoholic fatty liver disease remain controversial. New HCC biomarkers and imaging modalities may improve the sensitivity and specificity of HCC detection. Clinical and molecular HCC risk scores will enable precise HCC risk prediction followed by tailoured HCC screening of individual patients, maximising cost-effectiveness and optimising allocation of limited medical resources. Several aetiology-specific and generic HCC chemoprevention strategies are evolving. Epidemiological and experimental studies have identified candidate chemoprevention targets and therapies, including statins, anti-diabetic drugs, and selective molecular targeted agents, although their clinical testing has been limited by the lengthy process of cancer development that requires long-term, costly studies. Individual HCC risk prediction is expected to overcome the challenge by enabling personalised chemoprevention, targeting high-risk patients for precision HCC prevention and substantially improving the dismal prognosis of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansPrecision MedicinePrognosisRisk FactorsCancer screeningChemopreventionCirrhosisHepatocellular carcinomaPrecision medicineRisk prediction

Identifiers

PMID28989095
PMCPMC5818315
OpenAlexW2763700772

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.