Investigation of factors that influence pain experienced and the use of pain medication following periodontal surgery
Bibliographic record
Abstract
AIMS: To determine the relationship between anticipated pain and actual pain experienced following soft tissue grafting or implant surgery; to identify the factors that predict actual pain experienced and the use of pain medication following soft tissue grafting or implant surgery. MATERIALS AND METHODS: Prior to dental implant placement (n = 98) or soft tissue grafting (n = 115) and for seven days following the procedure, patients completed a visual analog scale indicating anticipated or experienced pain, respectively. The use of pain medication and alcohol, and smoking were measured. RESULTS: Actual pain experienced on day 1 was lower (p < .01) than anticipated pain and continued to decrease (p ≤ .01) for each of the 7 consecutive days. Anticipated and actual pain were positively correlated. Increasing age (p < .05), having sedation during the surgery (p < .05), and lower use of pain pills (p < .01) predicted lower pain experienced. Actual pain experienced was a predictor of pain pill use (p < .01). Greater nervousness (p < .01) prior to surgery was a predictor of greater anticipated pain. CONCLUSIONS: Patients anticipated more pain than they actually experienced. Sedation, age and number of pain pills used predicted pain experienced. This trial was registered with clinicaltrials.gov as NCT03064178.
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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 | 0.008 | 0.011 |
| 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 | 0.002 |
| 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".