Bibliographic record
Abstract
PURPOSE OF REVIEW: This review presents contemporary data on epidemiology, common presentations, investigations and diagnostic algorithms, treatment and prognosis. It particularly focuses on topics of most relevance to heart failure specialists, including what left ventricle (LV) function changes can be expected after treatment and outcomes to all standard and advanced heart failure therapies. RECENT FINDINGS: Around 5% of sarcoidosis patients have clinically manifest cardiac sarcoidosis (CS), presenting with significant arrhythmias (such as conduction disturbances and ventricular arrhythmias) or newly developed unexplained heart failure. These cardiac symptoms (including sudden cardiac death) may be the initial manifestations of CS. While cardiac magnetic resonance imaging (CMR) is the preferred method for identifying fibrosis in the myocardium, FDG-positron emission tomography (FDG-PET) helps in identifying active inflammation within the myocardium and aids in managing immunosuppressive treatment. The concept of isolated CS is much debated. However very importantly, recent data have shown that some patients diagnosed with 'clinically and imaging isolated CS' are subsequently found to have genetic cardiomyopathy. The management of CS involves a comprehensive approach including medications for immunosuppression, all standard heart failure medication and, in high-risk patient's implantable cardioverter defibrillators (ICDs). In CS patients with terminal heart failure who do not respond to medical and surgical interventions, heart transplantation and ventricular assist devices should be considered. Long-term results after transplantation are generally favorable and comparable to non-CS patients. The degree of left ventricular dysfunction remains a crucial prognostic factor in CS cases. Outcomes for CS have very significantly improved, over the last two decades due to earlier diagnosis, advanced heart failure treatments, and the strategic use of ICD therapy. SUMMARY: Outcomes for CS have significantly improved, over the last two decades due to earlier diagnosis, advanced heart failure treatments, and the strategic use of ICD therapy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".