Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,653

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Design and Endpoints of Clinical Trials in Hepatocellular Carcinoma

Open access
Llovet, Josep M., Di Bisceglie, Adrian M., Bruix, Jordi, Kramer, Barnett S., Lencioni, Riccardo, Zhu, Andrew X., Sherman, Morris, Schwartz, Myron, Lotze, Michael, Talwalkar, Jayant, Gores, Gregory J., for the Panel of Experts in HCC-Design Clinical Trials·2008·JNCI: Journal of the National Cancer Institute

Abstract

The design of clinical trials in hepatocellular carcinoma (HCC) is complex because many patients have concurrent liver disease, which can confound the assessment of clinical benefit. There is an urgent need for high-quality trials in this disease. An expert panel was convened by the American Association for the Study of Liver Diseases to develop guidelines that provide a common framework for designing trials to facilitate comparability of results. According to these guidelines, randomized phase 2 trials with a time-to-event primary endpoint, such as time to progression, are pivotal in clinical research on HCC. Survival remains the main endpoint to measure effectiveness in phase 3 studies, whereas time to recurrence is proposed as an appropriate endpoint in the adjuvant setting. Because progression-free survival and disease-free survival are composite endpoints, they are more vulnerable than others in HCC clinical studies and may not be able to capture clinical benefits. Selection of the target population should be based on the Barcelona Clinic Liver Cancer staging system. New drugs should be tested in patients with well-preserved liver function (Child-Pugh A class). Patients assigned to the control arm should receive standard-of-care therapy, that is, chemoembolization for patients with intermediate-stage disease and sorafenib for patients with advanced-stage disease. Further research is needed to incorporate biomarkers and molecular imaging into clinical research in HCC. These surrogate markers may help to enrich study populations and maximize the cost-benefit ratio of trial execution. Design and conduct of phase 3 trials should be coordinated by centers with appropriate expertise in HCC.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/jnci/djn134

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

See all 1,653

Metadata

Authors
Llovet, J. M., Di Bisceglie, A. M., Bruix, J., Kramer, B. S., Lencioni, R., Zhu, A. X., Sherman, M., Schwartz, M., Lotze, M., Talwalkar, J., Gores, G. J., & Trials, F. T. P. O. E. I. H.-D. C.
Venue
JNCI: Journal of the National Cancer Institute
Published
2008-05-21
Volume
100
Issue
10
Pages
698-711
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2153935627
Cited by
1,653
References
8
FWCI
81.94
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Design and Endpoints of Clinical Trials in Hepatocellular Carcinoma. https://app.cochat.ai/papers/10.1093/jnci/djn134
The paper
Llovet, J. M., Di Bisceglie, A. M., Bruix, J., Kramer, B. S., Lencioni, R., Zhu, A. X., Sherman, M., Schwartz, M., Lotze, M., Talwalkar, J., Gores, G. J., & Trials, F. T. P. O. E. I. H.-D. C. (2008). Design and Endpoints of Clinical Trials in Hepatocellular Carcinoma. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djn134

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.