Practical guidance for managing electromyography requests and testing during the <scp>COVID</scp>‐19 pandemic
Bibliographic record
Abstract
The COVID-19 pandemic has necessitated cancelation of elective or nonurgent contact with the healthcare system, including nonurgent nerve conduction studies and electromyography (electrodiagnostic [EDX] studies). The definitions of elective and nonurgent are physician judgments, and often are not straightforward. Clinical care must be provided to help our patients in a timely manner, while keeping them, healthcare personnel, and the community safe. Benefit/risk stratification is an important part of this process. We have stratified EDX studies into three categories: Urgent, Non-urgent, and Possibly Urgent, in an effort to help clinicians triage these referrals. For each category, we provide a rationale and some examples. However, each referral must be reviewed on a case-by-case basis, and the clinical situation will evolve over time, necessitating flexibility in managing EDX triaging. Engaging the referring clinician and, at times, the patient, may be useful in the triage process.
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How this classification was reachedexpand
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 | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".