"Low back pain response after application of interferential therapy alone and in combination with aceclofenac+paracetamol, tramadol+paracetamol: A prospective, comparative, clinical study"
Bibliographic record
Abstract
Low back pain response after application of interferential therapy alone and in combination with aceclofenac+paracetamol, tramadol+paracetamol: A prospective, comparative, clinical study"Aims and Objectives: To determine efficacy of analgesia of Analgesic drugs +Interferential Therapy (IFT) or without IFT.Material and Methods: The 80 eligible patients (30 male, 50 female) of acute and chronic low back pain were assigned to 5 groups (Grp), i.e., Grp A, B, C, D and E. The Orthopedician prescribed tablet Xenodol (Aceclofenac 100mg + Paracetamol 500mg 1 BD for 7 days) for Grp A, tablet Patrol (Tramadol 37.5mg + Paracetamol 325mg) 1 BD for 7 days) for Grp B, IFT 25 -100Hz application at lumbar region for 15 min daily for 7 days for Grp C, tablet Xenodol of same dose with IFT 25 -100Hz application for 7 days for Grp D and tablet Patrol of same dose with IFT 25 -100Hz application for 7 days for Grp E patients.Eligible patients pain were assessed twice, i.e., pre-treatment and post-treatment, by SF-LF-MPQ (Short Form-Long Form McGill Pain Questionnaire's Rating Index.Results: The post-treatment mean±SD was 1.3±0.9,1.4±1.5, 1.6±0.85,1±0.73, 0.93±1.16forGrp A, B, C, D and E respectively, while the pre-treatment pain intensity score mean±SD was 1.9±0.5, 2.4±1.1, 2.13±0.8,2.25±0.9,2.25±1.1 for Grp A,B,C,D,E respectively.The differences was statistically signifi cant, i.e. (P < 0.05) 0.03856, 0.03601, 0.0002027, 0.002136 of Grp A, B, D, E respectively and insignifi cant, i.e. (P > 0.05) was 0.06603 for Grp C. Conclusion: Tablet Xenodol (Aceclofenac+Paracetamol) and tablet Patrol (Tramadol+Paracetamol)alone showed effi cacy in pain reduction, while when the tablets Xenodol and tablet Patrol of same doses given with IFT 25 -100Hz application at lumbar regionin Grp D and Grp E the pain reduction was highly signifi cant than the medication alone groups, i.e., for Grp A, B, C.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".