Evidence map›Paper›PMID 42871891›Full record

ReviewJournal of hepatocellular carcinoma2026

Discontinuing Immune Checkpoint Inhibitor-Based Therapy After Complete Response in Unresectable Hepatocellular Carcinoma: Evidence, Bias, and a Research Framework.

Yujia He, Zhe Wang

Abstract readReview
In one paragraph

Review in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yujia HeDepartment of Gastroenterology, The First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.
Zhe WangDepartment of Orthopedics, The First Hospital of China Medical University, Shenyang, 110001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitor (ICI)-based regimens can induce radiographic complete response (CR) in a small but clinically important subset of patients with unresectable hepatocellular carcinoma (HCC). Whether treatment can then be stopped safely remains unresolved. Evidence comes predominantly from retrospective cohorts and post hoc analyses: selected complete responders have durable disease control after cessation, but neither patient-selection criteria nor an optimal post-CR treatment duration has been validated. This structured critical narrative review distinguishes direct evidence in HCC complete responders from indirect HCC studies, local-treatment-assisted CR, and evidence from other tumors. Interpretation depends on the response criterion, confirmation of CR, reason for stopping, residual treatment exposure, and the alignment of treatment assignment with follow-up. Chronic liver disease adds competing mortality and can reduce the opportunity for salvage independently of tumor recurrence. We integrate these issues into a clinical assessment pathway and a framework for prospective research, with attention to recurrence phenotype, hepatic reserve, toxicity, treatment burden, and treatment-free outcomes. Priorities include reproducible CR definitions, longitudinal registries, comparisons of prespecified treatment strategies, and prospective evaluation of surveillance and salvage. Current evidence supports individualized discussion of cessation rather than its routine use after CR or a fixed treatment duration.

Indexed as

competing riskscomplete responsehepatocellular carcinomaimmune checkpoint inhibitormRECISTtarget-trial emulationtreatment discontinuationtreatment-free remission

Identifiers

PMID42871891
PMCPMC13660773

What OpenQuestion holds

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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.