Neuromuscular Electrical Stimulation and Spinal Segmental Stabilization in Individuals with Non-Specific Low Back Pain- Randomized Clinical Trial
Bibliographic record
Abstract
The objective of this study was to verify the results of neuromuscular electrical stimulation (NMES) associated with central stabilization exercises in individuals with chronic nonspecific low back pain, taking as parameters the pain and trophism of the multifidus muscle.Methods: 40 volunteers were recruited and distributed in the placebo group, electrostimulation, stabilization exercise and therapeutic association.Pain was analyzed by visual analogue scale and McGill's questionnaire, and trophism was analyzed by ultrasound images.The therapeutic protocol consisted of three therapies per week over 4 weeks, independent of the group, with pre-protocol and end-of-protocol evaluations.Results: Significant differences were observed in pain quantification with reduction for the group that performed stabilization exercises, however, there were no differences for trophism.Conclusion: It is concluded that the use of stabilization exercises produced good results for the reduction of pain in individuals with chronic nonspecific low back pain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.006 | 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".