Considerations for cardiac catheterization laboratory procedures during the <scp>COVID</scp>‐19 pandemic perspectives from the Society for Cardiovascular Angiography and Interventions Emerging Leader Mentorship (<scp><i>SCAI ELM</i></scp>) Members and Graduates
Bibliographic record
Abstract
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is highly infectious, carries significant morbidity and mortality, and has rapidly resulted in strained health care system and hospital resources. In addition to patient-related care concerns in infected individuals, focus must also relate to diminishing community spread, protection of staff, case selection, and concentration of resources. The current document based on available data and consensus opinion addresses appropriate catheterization laboratory preparedness for treating these patients, including procedure-room readiness to minimize external contamination, safe donning and doffing of personal protective equipment (PPE) to eliminate risk to staff, and staffing algorithms to minimize exposure and maximize team availability. Case selection and management of both emergent and urgent procedures are discussed in detail, including procedures that may be safely deferred or performed bedside.
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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 | 0.002 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".