Chronic Low Back Pain: A Critical Review of Specific Therapeutic Exercise Protocols on Musculoskeletal and Neuromuscular Parameters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although exercise is often used in the treatment of chronic non-specific low back pain, little is known about the efficacy of specific exercises on the physiological or structural processes underlying this form of back pain. We evaluated the current published studies that used specific exercise interventions for non-specific low back pain and that utilized strength, endurance, neuromuscular control, flexibility, or posture as primary outcome variables. Our review revealed that 11 different control trials fit our criteria (15 published papers), with the majority evaluating strengthening protocols (N=13). Moderate evidence indicates that specific exercises improve abdominal and trunk extensor strength and endurance, while minimal evidence supports improvements in neuromuscular control characteristics, posture, spinal motion, or muscle tissue characteristics. Most studies reported improvements in both functional daily activities as well as an accompanying reduction in low back pain. We concluded that more thorough investigations utilizing better diagnostic classifications are needed to determine whether specific exercise protocols produce the desired effects on neuromuscular control impairments as well as on the mechanical environments that have been shown to contribute detrimentally to 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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it