Evidence map›Paper›PMID 42609092›Full record

ReviewAnnals of laboratory medicine2026

Laboratory Medicine in Immune Checkpoint Inhibitor-Induced Autoimmune Disorders: Baseline Assessment, Diagnostic Algorithms, Monitoring, and Predictive Biomarkers.

Cecilia Matteoli, Antonino Mazzone, Roberto Verna

Abstract readReview
In one paragraph

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.

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

3 authors.

Cecilia MatteoliCenter of Research and Innovation of Myeloproliferative Neoplasms, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.ORCID https://orcid.org/0009-0008-5907-1221
Antonino MazzoneDepartment of Medicine, ASST-Ovest Milanese, Legnano, MI, Italy.ORCID https://orcid.org/0000-0003-4965-0699
Roberto VernaCenter for Research and Education on Health and Wellness, University Guglielmo Marconi, Rome, Italy.ORCID https://orcid.org/0000-0002-1869-3912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Autoimmune DiseasesImmune Checkpoint InhibitorsAlgorithmsArtificial IntelligenceBiomarkersHumansNeoplasmsBiomarkersImmune Checkpoint InhibitorsArtificial intelligenceAutoantibodiesBiomarkersCytokinesDiagnostic algorithmImmune checkpoint inhibitorImmune-related adverse eventsLaboratory medicineLaboratory monitoringMicrobiome

Identifiers

PMID42609092
PMCPMC13662488

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.