Evidence map›Paper›PMID 41624252›Full record

ReviewImmuno-oncology technology2026

Safety and efficacy of immune checkpoint inhibitors in patients with melanoma and pre-existing autoimmune conditions: a systematic review and meta-analysis.

S Haider, M Hong, J Descallar, B Balakrishnar, T L Roberts, K Keat, W Chua

Abstract readReview
In one paragraph

Review in Immuno-oncology technology, 2026. 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

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

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

7 authors.

S HaiderSchool of Medicine, Western Sydney University, Campbelltown, Australia.
M HongSchool of Medicine, Western Sydney University, Campbelltown, Australia.
J DescallarIngham Institute of Applied Medical Research, Liverpool, Australia.
B BalakrishnarDepartment of Medical Oncology, Liverpool Hospital, Liverpool, Australia.
T L RobertsSchool of Medicine, Western Sydney University, Campbelltown, Australia.
K KeatDepartment of Immunology, Campbelltown Hospital, Campbelltown, Australia.
W ChuaSchool of Medicine, Western Sydney University, Campbelltown, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Melanoma patients with pre-existing autoimmune diseases (AIDs) have been excluded from clinical trials of immune checkpoint inhibitors (ICIs), due to a risk of flare and immune-related adverse effects (irAEs). Materials and methods: A comprehensive literature search of Medline, Embase, CINAHL and Scopus was carried out. Studies of melanoma patients with pre-existing AIDs were included. Two reviewers used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Outcomes assessed included all-grade and grade 3 or 4 Results: Thirty-two percent of patients with AIDs developed a flare, with 80% requiring immunosuppression. In patients with AIDs, meta-analysis revealed a higher risk of all-grade irAEs [risk ratio (RR) 1.16, 95% confidence interval (CI) 1.01-1.33, Conclusions: Melanoma patients with pre-existing AIDs are at significant risk of flare with ICI use. These patients had an increased risk of irAEs of any grade. Although there was a trend towards increased risk of severe irAEs, this was not statistically significant. irAEs did not result in treatment-related deaths, and there were no differences in treatment response. Risks should be discussed, coupled with close monitoring.

Indexed as

adverse effectsautoimmune conditionsautoimmune diseaseimmune checkpoint inhibitorsimmunotherapymelanoma

Identifiers

PMID41624252
PMCPMC12859225

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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.