Coxsackievirus-induced myocarditis: new trends in treatment
Bibliographic record
Abstract
Myocarditis is a common inflammatory heart disease in children and young adults that may result in chronically dilated cardiomyopathy. Coxsackievirus B3 is the major etiologic agent of this disease. Current treatments for patients with viral myocarditis are almost entirely supportive. In recent years, some promising therapeutic candidates have emerged, including novel treatments and improvements of existing drugs. Among these are molecules that specially target virus entry, such as pleconaril, WIN 54954 and CAR-Fc; nucleic acid-based antiviral agents that inhibit viral translation and/or transcription, such as antisense oligodeoxynucleotide and short interfering RNA; and immunomodulatory agents that augment the host-protective immune responses to effectively clear viruses from target tissues, including interferons and immunoglobulins. In addition, certain new antiviral strategies, still in the early stages, include modulation of signal transduction pathways responsible for viral replication using enzyme inhibitors, which have revealed potential therapeutic targets for viral myocarditis. Finally, the progress in cellular cardiomyoplasty for end-stage therapy, in particular the preliminary clinical trials, is also discussed with respect to its potential future application.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".