Vasovagal Syncope: A Review of Current and Emerging Therapies for a Common Cardiology Condition
Bibliographic record
Abstract
Vasovagal syncope (VVS), characterized by transient loss of consciousness, is among the most prevalent reasons for emergency visits worldwide. Although benign in nature, VVS can be accompanied by traumatic injury, leading to morbidity and decreased quality of life, especially in those with VVS recurrence. The management includes non-pharmacologic and pharmacologic therapies (if resistant), patient education and reassurance, salt and fluid intake increase, and physical counter-pressure maneuvers. Among medications, midodrine has shown promising results in reducing VVS recurrence and positive head-up tilt tests. Fluoxetine and atomoxetine also might be suitable candidates for VVS therapy. Permanent pacemakers, such as closed-loop stimulation, are under research and can be effective in cases unresponsive to medical treatment. In summary, while data are scarce regarding the definite treatment of VVS, there is a need for further research with novel, easy-to-use and cost-effective therapeutic methods to enhance quality of life and prevent traumatic injury.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".