Evidence map›Paper›PMID 42591394›Full record

SynthesisFrontiers in immunology2026

Immune checkpoint inhibitor-related myositis, myocarditis, and myasthenia gravis overlap syndrome: a systematic review and pooled analysis of individual cases.

Miao Wei, Tiantian Hu, Lili Yang, Yan Duan, Yifan Li

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Miao WeiDepartment of Intensive Care Unit , Shanxi Province Cancer Hospital / Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences / Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Tiantian HuDepartment of Intensive Care Unit , Shanxi Province Cancer Hospital / Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences / Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Lili YangDepartment of Intensive Care Unit , Shanxi Province Cancer Hospital / Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences / Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yan DuanDepartment of Intensive Care Unit , Shanxi Province Cancer Hospital / Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences / Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yifan LiDepartment of Hepatobiliary and Pancreatic Surgery , Shanxi Province Cancer Hospital / Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences / Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor (ICI)-related overlap syndrome involving myositis, myocarditis, and myasthenia gravis (3M overlap syndrome) is rare but potentially fatal. Current evidence is derived mainly from case reports and small case series, and individual case-level data on ancillary diagnostic findings, baseline comorbidities, treatment patterns, and short-term outcomes remain limited. Methods: We performed a systematic review of published case reports and case series and a pooled analysis of individual case data on ICI-related 3M overlap syndrome, supplemented by three patients from our center. The primary endpoint was all-cause in-hospital mortality. Univariable and multivariable logistic regression were used to explore factors associated with in-hospital mortality, and exploratory symptom correlation and hierarchical clustering analyses were performed to describe symptom co-occurrence patterns. Results: Ninety-five published reports comprising 133 patients were included, together with 3 additional institutional cases, for a total of 136 patients. The mean age was 69.8 ± 11.2 years, and 96/136 (70.6%) were male. Melanoma was the most common underlying malignancy (40/136, 29.4%). The median time from first ICI exposure to symptom onset was 22.0 days (IQR, 16.0-31.0).In-hospital outcome was ascertainable for all 136 patients; 53 (39.0%) died during hospitalization and 83 (61.0%) survived to discharge or transfer. Most patients received systemic corticosteroids (133/136, 97.8%) and second-line immunomodulatory therapy (119/136, 87.5%). In the pre-specified multivariable analysis (age, fatigue, and complete conduction block), older age (adjusted odds ratio [aOR], 1.11 per year; 95% confidence interval [CI], 1.05-1.17; P < 0.001) and complete conduction block (aOR, 2.84; 95% CI, 1.10-7.34; P = 0.031) remained independently associated with in-hospital mortality, whereas fatigue was no longer statistically significant after adjustment (aOR, 1.85; 95% CI, 0.75-4.56; P = 0.181). Exploratory clustering identified a possible bulbar/axial symptom cluster characterized by dysphagia, dysarthria, and neck muscle weakness. Conclusions: ICI-related 3M overlap syndrome is an early-onset, fulminant immune-related adverse event with substantial in-hospital mortality. Older age and complete conduction block were factors associated with poorer in-hospital outcomes in this exploratory analysis; these findings should be regarded as hypothesis-generating and require validation in prospective registries or multicenter cohorts.

Indexed as

Immune Checkpoint InhibitorsMyasthenia GravisMyocarditisMyositisAgedFemaleHospital MortalityHumansMaleMiddle AgedSyndromeImmune Checkpoint Inhibitorsimmune checkpoint inhibitorsin-hospital mortalitymyasthenia gravismyocarditismyositisoverlap syndrome

Identifiers

PMID42591394
PMCPMC13461781

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.