Dor em pós-operatório de cirurgias de pé e tornozelo: um estudo prospectivo
Bibliographic record
Abstract
Introduction: Pain, a predominant symptom, is associated with the trauma and diseases of the musculoskeletal system. The effective prevention and control of postoperative pain may accelerate the functional rehabilitation of patients. Literature is still emerging in research and evaluation of postoperative pain. Objective: To prospectively characterize the pain experienced in the pre and postoperative period for patients undergoing surgical treatment of foot and ankle disorders. Methods: We evaluated prospectively 160 patients who underwent surgical treatment of foot and ankle disorders in the Department of Orthopedics and Traumatology of Mater Dei Hospital in the period from September, 2009 and January, 2010, about the painful experience presented by them during the treatment of specific lesions. Pain was measured by the visual analog scale and McGill questionnaire both pre and postoperatively. Results: We evaluated the results of 63 patients, mean age was 38 years-old (18 to 69 years-old), 60% suffered from acute conditions and 40% of chronic diseases. There was no significant difference in pain presented preoperatively in patients with acute or chronic diseases. However, patients with acute conditions experienced more pain in the first postoperative day compared to those with chronic diseases (visual analog scale 2.33x1.55 – pConclusion: Patients with acute conditions experience more pain in the first postoperative day. The standardization of anesthetic and analgesic procedure was effective in controlling pain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".