Correlation between preoperative anxiety and acute postoperative pain in elderly patients submitted to transvesical prostatectomy
Bibliographic record
Abstract
ABSTRACT BACKGROUND AND OBJECTIVES: The objective of this study was to correlate the level of anxiety presented in the preoperative period with the intensity of pain reported by elderly in the immediate postoperative period of transvesical prostatectomy. METHODS: Sixty-four elderly patients submitted to transvesical prostatectomy were studied, using the following instruments: the numeric pain scale and Hamilton anxiety rating scale in the preoperative; and the short-form McGill pain questionnaire (Portuguese version adapted) in the immediate postoperative period. The elderly divided into four groups, according to the level of anxiety presented in the preoperative period: absent, mild, moderate and intense. The Spearman correlation was established between preoperative anxiety levels and postoperative pain intensity. RESULTS: There was a significant positive correlation between the level of preoperative anxiety and pain intensity in the immediate postoperative period. The pain curves (sensitive and affective) presented a significant increase at moments 6, 18 and 24h in all groups. These curves were significantly higher in the elderly with moderate and intense anxiety than in those without anxiety and mild anxiety. The pain peak was recorded at 18h after surgery in all groups. CONCLUSION: In the elderly, the level of anxiety presented in the preoperative period was positively correlated with the pain response in the immediate postoperative of transvesical prostatectomy. The use of preoperative measures that reduce anxiety can improve analgesia in the immediate postoperative period of this surgery and, therefore, reduce the amount of analgesics used in this period. There was also a need for intervention with adequate analgesia at the postoperative pain peak which occurred 18h after surgery.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".