Evidence map›Paper›PMID 41988192›Full record

ArticleFrontiers in immunology2026

Exploring the optimal regimen in advanced hepatocellular carcinoma: a protocol of individual patient data network meta-analysis of randomized controlled trials.

Jiefeng Luo, Zhengxiong Li, Jun Ge, Sizhen Cai, Xinyi Mo, Wensheng Liu, Chengxia Gui, Qiong Du

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

8 authors.

Jiefeng Luo *Department of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhengxiong Li *School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Jun GeSchool of Chemistry, Sun Yat-sen University, Guangzhou, China.
Sizhen CaiSchool of Pharmacy, Guangzhou Medical University, Guangzhou, China.
Xinyi MoSchool of Pharmacy, Guangzhou Medical University, Guangzhou, China.
Wensheng LiuDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.
Chengxia GuiDepartment of Internal Medicine, Sichuan Electric Power Hospital, Chengdu, China.
Qiong DuDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced hepatocellular carcinoma (HCC) poses a substantial global disease burden. Since the approval of sorafenib in 2007, an increasing number of treatment regimens have demonstrated encouraging survival benefits in first-line treatment of advanced HCC. However, this expansion of therapeutic options has also introduced complexity into clinical decision-making. This study aims to provide high-quality evidence to inform clinical practice by comparing all first-line treatment regimens for advanced HCC. Methods: We will systematically search PubMed, Embase (Ovid), and the Cochrane Library (Ovid) from January 1, 2007, to March 3, 2026. Supplementary searches will be performed in clinical trial platforms and conference abstracts. All randomized controlled trials (RCTs) and high-quality observational studies (for prior information only) comparing active first-line treatment regimen for advanced HCC will be included. Primary outcomes are overall survival, grade ≥3 serious adverse events, and the incremental safety-effectiveness ratio. Secondary outcomes include progression-free survival, objective response rate, the incidence of all adverse events and treatment discontinuation due to adverse events. The risk of bias of included RCTs will be assessed using the Risk of Bias 2.0 tool, and the certainty of evidence for each outcome will be evaluated with the Confidence in Network Meta-Analysis (CINeMA) application. Study selection, data extraction, and quality assessment will be performed independently by two reviewers, with any disagreements adjudicated by a third reviewer. Individual patient data will be reconstructed from published Kaplan-Meier curves, and treatment effects will be evaluated using restricted mean survival time. Subgroup analyses will be performed based on PD-L1 expression, etiology, Barcelona Clinic Liver Cancer stage, alpha-fetoprotein concentration, macrovascular invasion, and extrahepatic spread. Bayesian network meta-analysis will be performed using R with the gemtc package. Discussion: Our study is expected to inform clinical guidelines and support personalized therapeutic decisions for advanced HCC. Clinical trial registration: https://www.crd.york.ac.uk/PROSPERO/view/, identifier CRD420251126975.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularLiver NeoplasmsHumansNetwork Meta-Analysis as TopicRandomized Controlled Trials as TopicResearch DesignTreatment Outcomehepatocellular carcinomaimmunotherapyindividual patient datanetwork meta-analysistyrosine kinase inhibitors

Identifiers

PMID41988192
PMCPMC13076546

What OpenQuestion holds

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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.