ReviewAnnals of laboratory medicine2026
Laboratory Medicine in Immune Checkpoint Inhibitor-Induced Autoimmune Disorders: Baseline Assessment, Diagnostic Algorithms, Monitoring, and Predictive Biomarkers.
Review in Annals of laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple malignancies, but they can disrupt self-tolerance and induce immune-related adverse events resembling autoimmune disorders. In many cases, laboratory abnormalities precede overt clinical manifestations, placing laboratory medicine at the center of baseline evaluation, early recognition, diagnostic confirmation, longitudinal monitoring, and treatment follow-up. This review provides a laboratory-focused overview of ICI-induced autoimmune disorders, focusing on baseline laboratory assessment, monitoring strategies during therapy, organ-specific diagnostic algorithms, ICI-specific toxicity patterns, and candidate predictive biomarkers. Particular attention is paid to endocrine, hepatic, metabolic, cardiac, rheumatologic, and neurologic toxicities and to pre-analytical and analytical issues that can confound interpretation. The potential contribution of digital tools and artificial intelligence to accelerating laboratory-based detection is also discussed. Standardized laboratory pathways integrating baseline testing, reflex and confirmatory algorithms, trend-based surveillance, and multidisciplinary interpretation can improve safety and support personalized decisions regarding immunotherapy continuation and management.
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Registered trials
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.