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
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
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.019 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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