Evidence map›Paper›PMID 39337847›Full record

ArticleLife (Basel, Switzerland)2024

Disseminate Cutaneous Vasculitis Associated with Durvalumab Treatment-Case Report, Mini-Review on Cutaneous Side Effects of Immune Checkpoint Inhibitor Therapies with Machine Learning Perspectives.

Gyula Laszlo Fekete, Laszlo Barna Iantovics, Júlia Edit Fekete, Laszlo Fekete

Abstract readCase Reports
In one paragraph

Article in Life (Basel, Switzerland), 2024. 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

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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

4 authors.

Gyula Laszlo FeketeDepartment of Dermatology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540142 Targu Mures, Romania.
Laszlo Barna IantovicsDepartment of Electrical Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540142 Targu Mures, Romania.ORCID 0000-0001-6254-9291
Júlia Edit FeketeNational Institute of Public Health, Regional Center for Public Health, 540142 Targu Mures, Romania.
Laszlo FeketeCMI Dermamed Private Medical Office, 540530 Targu Mures, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Durvalumab is an IgG1 monoclonal antibody that has efficacy in many advanced-stage cancers, especially in small-cell lung cancer. The efficacy of durvalumab can be enhanced by chemotherapy. Cutaneous side effects due to treatment with durvalumab are usually self-limiting and easily manageable. We present a clinical case of a female patient aged 61, with small-cell lung carcinoma in stage III B, cT3N2M, who developed a disseminated cutaneous vasculitis after seven months of durvalumab monotherapy, having previously been treated with polychemotherapy according to oncological protocols. To the best of our knowledge, based on a comprehensive search in leading databases, like Web of Science, Scopus, PubMed and some others, ours is the first published case of disseminated cutaneous vasculitis as a result of Durvalumab treatment. Anticancer immunotherapy targeting immune checkpoint inhibition (ICI) has transformed the treatment and evolution of patients with multiple varieties of hematologic cancers. In this context, the cutaneous side effects due to immune checkpoint inhibitor therapies are very few in the scientific literature. Based on this need, we have performed a mini-review of cutaneous side effects due to immune checkpoint inhibitor therapies that treat actual aspects in this sense. We also present some artificial intelligence challenges and future perspectives in the combination of human reasoning and reasoning based on Artificial Intelligence for study of the very rare Disseminate cutaneous vasculitis associated with Durvalumab treatment.

Indexed as

artificial intelligencecancercutaneous side effectdurvalumabimmunotherapyintelligent agentmachine learningsmall-cell lung cancervasculitis

Identifiers

PMID39337847
PMCPMC11433022

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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.