Risk factors that influence the intensity of pain present in the immediate postoperative period
Bibliographic record
Abstract
Objective: To evaluate the influence of risk factors for immediate postoperative pain (IPP). Methods: The study was conducted with 336 patients treated at the Post Anesthetic Recovery Unit (PARU) of a general hospital. Sociodemographic and clinical data were obtained with a questionnaire and pain was assessed by the McGill questionnaire (reduced form), both assessed at admission and discharge from PARU. Results: 64.1% of patients older than 60 years reported no pain at discharge from the PARU; 59.5% and 56.9% of those undergoing closed surgery reported pain on admission and discharge, respectively; longer surgeries caused pain in 52.5% of patients and 25% of diabetics reported pain on admission; fewer patients using 7 or more medications reported pain at both times. Conclusion: Age, type and time of surgery, number of medications and comorbidities influence in pain on IPP.
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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) | 0.003 | 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".