Influência da interação medicamentosa no limiar de dor à pressão em indivíduos com osteoartrite de joelho
Bibliographic record
Abstract
Objectives: To evaluate the influence of drug interaction on the pressure pain threshold in a patient with knee osteoarthritis (KOA). Secondarily, we sought to assess the body composition of subjects with KOA and its relationship with drug interaction. Two studies were carried out: I: Association between drug interaction and pressure pain threshold in individuals with knee osteoarthritis: A cross-sectional study; II: Is the presence of drug interaction associated with a higher prevalence of fat mass in body composition in individuals with knee osteoarthritis? Methods: Study I describes in detail the methodology of Study II, where 80 participants with KOA aged over 40 years presented the sample. Pain threshold assessment was performed using a pressure algometer, at four points close to the knee. The Drugs.com database was used to check for possible headaches between medications used for knee pain and other medications used by participants with KOA. In addition, the Western Ontario and MacMaster Universities Osteoarthritis Index Questionnaire (WOMAC) and Numerical Pain Scale (END) were applied as complementary pain estimates. The secondary ones included data on body composition, through the Dual-Energy X-Ray Absorptiometry (DXA) equipment. In addition, the Pain Catastrophizing Scale and the Tampa Scale for Kinesiophobia were applied as complementary pain estimates. Results: The results indicate that the presence of drug interaction is associated with a lower pressure pain threshold, being linked to advanced age and higher levels of pain reported by the END. In addition, it was demonstrated that there is an association between the presence of associated diseases and high levels of fat, associated with the presence of drug interactions, without association with muscle and bone mass. Conclusion: The study tested that drug interaction is associated with a decrease in pressure pain threshold and a greater presence of fat mass in individuals with KOA.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".