Molecular Pathology of Immune Checkpoint Inhibitor-Induced Myocarditis
Bibliographic record
Abstract
The improvement in tumor outcomes associated with the use of immune checkpoint inhibitors (ICIs) is supported by results of numerous clinical trials. Even though most publications reporting the clinical efficacy of these agents include a discussion of the biological mechanisms, narratives related to the complex nature of the adaptive immune response are frequently, though they should not be, mundane. It is also apparent that there tends to be a cursory, or even complete absence, of explanations related to the pathological mechanism(s) of the toxic reactions in the vast majority of papers that report adverse events associated with ICI therapy. Furthermore, the belief that cytotoxic CD8+ T cells mediate not only the antitumor, but also immune-related adverse, effects may be plausible, yet incorrect. This being the case, instead of providing only clinical details of a severe adverse event associated with combination ICI therapy in a patient with melanoma, the authors chose to scrutinize the repertoire and role of T cells in the pathogenesis of myocarditis as an example of other ICI-associated incidents of autoimmunity.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".