Evidence map›Paper›PMID 39678017›Full record

ArticleOncoTargets and therapy2024

Hyperbilirubinemia in a Patient Receiving Alectinib for Anaplastic Lymphoma Kinase Positive Non-Small-Cell Lung Cancer: A Histological Features.

Qian Zhang, Lei Yan, Yujie Bao, Xiaoling Yuan, Donglin Yin, Jie Xu

Abstract readCase Reports
In one paragraph

Article in OncoTargets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

6 authors.

Qian ZhangDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0002-9597-5032
Lei YanDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Yujie BaoDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Xiaoling YuanDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Donglin Yin *Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Jie Xu *Department of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alectinib is a second generation of anaplastic lymphoma kinase (ALK) inhibitor that has been approved for the treatment of advanced non-small-cell lung cancer (NSCLC) with ALK rearrangements. Hepatotoxicity is the most common adverse drug reaction. However, there is currently no published report on the pathologic findings of alectinib-induced hyperbilirubinemia. Case Presentation: Here, we report a case of a patient with NSCLC and chronic hepatitis B (CHB) who was treated with alectinib and developed grade 4 hyperbilirubinemia after 3 years on therapy. Alectinib was discontinued, and an artificial liver support system (ALSS) was used to decline blood bilirubin levels. The pathological manifestations from a liver biopsy showed the hepatocytes with scattered focal necrosis, bile stasis, and vesicular steatosis, bile emboli in capillaries, and star-shaped fibers proliferation in the portal area. Conclusion: This is the first report of alectinib-induced hyperbilirubinemia which was confirmed by liver histopathology and successfully relieved by ALSS treatment and drug discontinuation.

Indexed as

alectinibALKALSShyperbilirubinemiaNSCLC

Identifiers

PMID39678017
PMCPMC11646391

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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.