Evidence map›Paper›PMID 38328612›Full record

ReviewCancer pathogenesis and therapy2023

Incidence rate and treatment strategy of immune checkpoint inhibitor mediated hepatotoxicity: A systematic review.

Kang Miao, Li Zhang

Abstract readReview
In one paragraph

Review in Cancer pathogenesis and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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.

Kang MiaoDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical Collage Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Li ZhangDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical Collage Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A hepatic adverse event (HAE) is defined as a liver injury that occurs following immune checkpoint inhibitor (ICI) administration in oncology Patients. Immune-mediated hepatotoxicity (IMH) is a type of HAE directly caused by ICI and is associated with immune system hyperactivation. HAE incidence varies across different clinical studies. This study aimed to explore the risk factors of HAE and establish a personalized IMH treatment strategy. Methods: Randomized controlled trials (RCTs) on ICIs and case reports related to IMH were collected and summarized separately. Meta-analysis was performed using Review Manager (version 5.0), whereas correlation analysis and linear regression were performed using SPSS (version 24.0) to evaluate any correlations between the two variables. Results: Overall, 36 RCTs containing 18,515 patients and 39 case reports met our inclusion criteria. The ICI administration increased the HAE risk (risk ratio [RR] ​= ​1.40) as well as severe HAE (RR ​= ​2.55). The overall HAE incidence and severe incidence were about 15.3% and 4.3%, respectively. Cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors have a higher incidence of HAE than programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1) inhibitors. Finally, we found a positive correlation between the onset time of IMH and the recovery time of liver injury. Conclusions: ICI administration increased the incidence risk of HAE, especially in patients treated with CTLA-4 inhibitors. Regarding IMH treatment, the glucocorticoid dosage must be individually reduced according to the severity and onset time of HAE.

Indexed as

HepatotoxicityImmune checkpoint inhibitorSystematic reviewTreatment strategy

Identifiers

PMID38328612
PMCPMC10846339

What OpenQuestion holds

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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.