Determinants and Timeline of Perioperative Anxiety in Mohs Surgery
Bibliographic record
Abstract
BACKGROUND: Patients undergoing Mohs micrographic surgery (MMS) exhibit anxiety relating to cancer cure or the expected cosmetic outcome. OBJECTIVE: To obtain quantitative measurements of perioperative cancer and cosmetic anxiety levels in first-time MMS patients. Parameters influencing anxiety and its natural course were assessed. METHODS: Prospective, single-blinded, questionnaire study of 173 patients undergoing MMS of the face. Anxiety levels were assessed using a visual analog scale preoperatively and postoperatively over 6 months. RESULTS: Mohs patients demonstrate a trend to greater or equal anxiety about cancer over cosmesis at all measured time points, but differences only reached statistical significance beginning 1 week postoperatively. Clinically relevant lowering of cancer anxiety levels is delayed until 3 months postoperatively. Cosmetic anxiety reaches a clinically relevant improvement by 1 week. The intuitive predictors of cosmetic anxiety, namely female gender and younger age, were quantitatively reinforced in this study. The predictor of cancer anxiety was the use of preoperative lorazepam. CONCLUSION: To maximize patient care, Mohs surgeons must be aware of covert patient anxieties and the parameters, which influence these anxieties. Identifying and anticipating the course of cancer- and cosmetic-related anxieties will reduce patient fears, improving their satisfaction with the MMS experience.
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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) | 0.001 | 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".