Evidence map›Paper›PMID 39640621›Full record

ArticleHeliyon2024

Efficacy and safety of artificial liver support system treatment for immune checkpoint inhibitors related liver failure in patients with hepatocellular carcinoma: Protocol for a randomized controlled clinical trial.

Qiumin Luo, Yeqiong Zhang, Zhipeng Li, Jia Chen, Zhexuan Deng, Jiadi Lai, Xiyao Chen, Chan Xie, Liang Peng, Ying Liu and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05484908 (Efficacy and Safety of Artificial Liver Support System Treatment for Immune Checkpoint Inhibitors Related Liver Failure in Patients With Hepatocellular Carcinoma), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05484908 narecruitingnot on this map

Efficacy and Safety of Artificial Liver Support System Treatment for Immune Checkpoint Inhibitors Related Liver Failure in Patients With Hepatocellular Carcinoma

TypeinterventionalSponsorThird Affiliated Hospital, Sun Yat-Sen UniversityRan2022 to 2024Enrolled60ConditionsImmune-Mediated Hepatitis, Liver Failure, Hepatocellular CarcinomaArmsDPMAS+LPE, PE, Comprehensive internal medical treatment
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Qiumin LuoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yeqiong ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhipeng LiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jia ChenDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhexuan DengDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jiadi LaiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiyao ChenDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Chan XieDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Liang PengDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ying LiuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenxiong XuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor-induced immune-mediated hepatitis (ICI-IMH) in patients with hepatocellular carcinoma (HCC) has been established to increase the risk of liver failure (LF). Given the accumulating evidence supporting the efficacy of artificial liver support systems (ALSS) in mitigating both IMH and LF, a single-center, non-blinded, randomized controlled clinical trial is proposed to investigate the efficacy and safety of ALSS for HCC patients with ICI-LF. Methods: and analysis: Sixty eligible participants will be enrolled in this trial and randomly assigned to one of two groups in a 1:1 ratio. In addition to standard pharmacological management, patients in the trial group will receive treatment with a double plasma molecular adsorption system (DPMAS) and low-volume plasma exchange (LPE) on three occasions, while patients in the control group will undergo PE three times. Patient assessments, including symptoms and laboratory tests, will be conducted at baseline, before and after the three ALSS treatments, and at 2, 4, 8, and 12 weeks post-enrollment. The primary outcome is the mortality rate at 12-week follow-up. Secondary outcomes include changes in the Model for End-Stage Liver Disease (MELD) score following ALSS treatment and the incidence of adverse events (AEs). Discussion: ICI-LF in HCC patients is associated with a high mortality rate and lacks effective treatment options. Our study aims to evaluate the efficacy and safety of ALSS for this patient population, comparing the effectiveness of two ALSS modalities (DPMAS + LPE vs. PE). Trial registration: This clinical trial has been registered on ClinicalTrials.gov with the identifier NCT05484908 (Release Date: July 30, 2022) (https://clinicaltrials.gov/study/NCT05484908).

Indexed as

Artificial liver support systemDouble plasma molecular adsorption systemHepatocellular carcinomaImmune checkpoint inhibitorsLiver failurePlasma exchange

Identifiers

PMID39640621
PMCPMC11620127

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Registered trials

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.