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Record W4410940679 · doi:10.1192/bjp.2025.89

Multidisciplinary consensus on prevention, screening and monitoring of clozapine-associated myocarditis and clozapine rechallenge after myocarditis

2025· review· en· W4410940679 on OpenAlexaff
Elias Wagner, Nicole Korman, Marco Solmi, Matin Mortazavi, Zahra Aminifarsani, Douglas Dubrovin Leão, Matthew K. Burrage, Dan Siskind, Laura McMahon, Oliver Howes, Christoph U. Correll

Bibliographic record

VenueThe British Journal of Psychiatry · 2025
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsRoyal Ottawa Mental Health CentreOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsClozapineMedicineMyocarditisDelphi methodIntensive care medicineAdverse effectGuidelineMultidisciplinary approachSchizophrenia (object-oriented programming)PsychiatryInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Clozapine is the antipsychotic of choice for people with treatment-resistant schizophrenia (TRS) but is associated with the uncommon but potentially life-threatening adverse effect of myocarditis. However, there are no criteria for diagnosing clozapine-associated myocarditis (CAM) or global guidelines on detection and risk reduction, or for restarting clozapine after CAM. AIMS: To develop criteria for CAM and algorithms for clozapine initiation and clozapine rechallenge after CAM in a multiprofessional consensus process. METHOD: We conducted a systematic literature search for cases of clozapine rechallenge following CAM using the PubMed, EMBASE, CINAHL and PsycINFO databases, followed by a multidisciplinary international two-step Delphi consensus process in July and October 2024. The Delphi panel comprised psychiatrists, cardiologists, pharmacists, psychopharmacologists and nurses with expertise on clozapine or myocarditis. RESULTS: Ninety-three clinicians and academics with experience in prescribing clozapine from six continents participated in the Delphi process. A consensus was reached on a definition of CAM according to modified clinical criteria from the European Society of Cardiology for myocarditis associated with immune checkpoint inhibitors. Titration schemes slower than those given in the Summary of Product Characteristics for clozapine were recommended to minimise CAM risk. Minimum and enhanced requirements for screening and monitoring were developed to account for global perspectives and limited resources in certain healthcare systems, and an approach to clozapine rechallenge was elaborated. CONCLUSIONS: This multidisciplinary project represents the first guidance for CAM and will inform clinicians, other caregivers and patients, as well as facilitating the development of national guidelines on CAM prevention, screening and monitoring and rechallenge after an index episode of myocarditis in individuals taking clozapine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.226
metaresearch head score (Gemma)0.311
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.226
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2260.311
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0170.007
Science and technology studies0.0040.005
Scholarly communication0.0050.009
Open science0.0050.013
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.357
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2025
Admission routes1
Has abstractyes

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