The UK national registry of ENT surgeons with coronavirus disease 2019: one year on
Bibliographic record
Abstract
OBJECTIVES: To report the one-year findings of the UK national registry of ENT surgeons with suspected or confirmed coronavirus disease 2019, and the results of a survey on the coronavirus disease 2019 experience of UK ENT trainees. METHOD: An online registry was created in April 2020. A separate survey was circulated electronically to all members of the Association of Otolaryngologists in Training. RESULTS: The registry recorded 98 clinicians with confirmed or suspected coronavirus disease 2019. The majority of infections were reported in the first wave of spring 2020. Two ENT surgeons were hospitalised and one died. The majority suspected workplace exposure, with a significant proportion attributing this to a lack of personal protective equipment at a time before formal guidance had been introduced. Of the ENT trainees surveyed, almost one-third believed that they had contracted coronavirus disease 2019. CONCLUSION: This highlights the importance of ongoing risk-reduction measures, including optimal personal protective equipment and vaccination.
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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 | 0.000 |
| 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".