Evidence map›Paper›PMID 36948846›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2023

[Chinese multidisciplinary expert consensus on combined immunotherapy for hepatocellular carcinoma(2023 version)].

Chinese Chapter of the International Hepato-Pancreato-Biliary Association;, Group of Liver Surgery, Surgical Society of Chinese Medical Association, Expert Committee on Liver Cancer, Chinese Society of Clinical Oncology

Abstract readEnglish AbstractConsensus Statement
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Clinical predictive factors of the efficacy of immune checkpoint inhibitors and kinase inhibitors in advanced hepatocellular cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  4. Article
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

3 authors.

Chinese Chapter of the International Hepato-Pancreato-Biliary Association;
Group of Liver Surgery, Surgical Society of Chinese Medical Association
Expert Committee on Liver Cancer, Chinese Society of Clinical Oncology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs)-based immunotherapy combined with other treatment for hepatocellular carcinoma (HCC) has achieved significant efficacy in clinical research and practice, and has become the most commonly used and mainstay therapy for the treatment of unresectable HCC. In order to help clinicians administrating immunotherapy drugs and regimens rationally, effectively and safely, we organized a multidisciplinary expert team to adopt the "Delphi" consensus formation method, and finally revised and completed the "Multidisciplinary Expert Consensus on Combination Therapy Based on the Immunotherapy for Hepatocellular Carcinoma (2023 Edition)" on the basis of the 2021 version. This consensus mainly focuses on the principles and methods of clinical application of combination therapy based on the Immunotherapy, aiming to summarize the recommendations for clinical application based on the latest research and expert experience, and provide application guidance for clinicians.

Indexed as

Carcinoma, HepatocellularImmunotherapyLiver NeoplasmsHumansConsensusHepatocellular carcinomaImmune checkpoint inhibitorsImmunocombination therapyImmunotherapyMulti-disciplinary team

Identifiers

PMID36948846
PMCPMC12814507

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.