Noise levels during total hip arthroplasty: the silent health hazard
Bibliographic record
Abstract
BACKGROUND: While there is an enormous amount of data on various surgical aspects of total hip arthroplasty (THA), there is only limited literature on the health hazards incurred by the surgical team. Since THA surgery produces noise, exposure over a long period of time may lead to gradual hearing loss which is known as noise-induced hearing loss. METHODS: We investigated the noise levels during THA and compared it with the maximum allowed limits at the workplace in the United Kingdom. In collaboration with specialised audio engineers, we analysed the noise levels during various steps of performing 7 uncemented THA. RESULTS: The results showed that the noise levels were close to the allowed limits for a workplace in the UK. CONCLUSION: Hospitals and staff who work in orthopaedic operating theatres should be aware of this risk and precautions should be put in place.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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; both teacher heads agree on what is shown here.
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".