Editorial: Cardioimmunology: Inflammation and Immunity in Cardiovascular Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite great advances in the diagnosis and treatment witnessed in the last decades, cardiovascular disease (CVD) remains one of the leading causes of morbidity and mortality in Western Countries. This is in part due to the fact that basic pathogenic mechanisms remain in most cases poorly understood, thus significantly limiting the effectiveness of the therapeutic interventions. In this regard, mounting recent evidence shows how immuno-inflammatory activation plays a pivotal role in many cardiovascular disorders, thus opening new unconventional treatment options. Indeed, after the demonstration that atherosclerosis is primarily a chronic inflammatory disease of the arterial wall (1), data suggest that a dysregulation of the immune system and inflammatory pathways may be the leading mechanisms in a large number of CVDs, including heart failure, pericardial disease, cardiomyopaties, and rhythm disorders (2, 3). Immuno-inflammatory mechanisms may play a role in mediating or modulating even hereditary cardiovascular disorders with monogenic etiologies, such as long QT syndrome and arrhythmogenic right ventricular cardiomyopathy (4-6). In the present Frontiers Research Topic, an international selection of investigators contributed original data and up to date reviews to increase our current understanding on the role of the immune system and inflammation in CVD to advance the field forward.
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.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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 it