Comparison of 2 Manual Therapy and Exercise Protocols for Cervical Radiculopathy: A Randomized Clinical Trial Evaluating Short-Term Effects
Bibliographic record
Abstract
STUDY DESIGN: Participant- and assessor-blinded randomized clinical trial. OBJECTIVES: To compare a rehabilitation program thought to increase the size of the intervertebral foramen (IVF) of the affected nerve root to a rehabilitation program that doesn't include any specific techniques thought to increase the size of the IVF in patients presenting with cervical radiculopathy (CR). BACKGROUND: Clinical approaches for the treatment of CR commonly include exercises and manual therapy techniques thought to increase the size of the IVF, but evidence regarding the effectiveness of these specific manual therapy techniques is scarce. METHODS: Thirty-six participants with CR were randomly assigned either to a group that received a manual therapy and exercise program aimed at increasing the size of the IVF of the affected nerve root (experimental group, n=18) or to a group that received a manual therapy and exercise program without the specific goal of increasing the size of the IVF of the affected level and side (comparison group, n=18). Primary (Neck Disability Index) and secondary (shortened version of the Disabilities of the Arm, Shoulder and Hand questionnaire [QuickDASH] and numeric pain-rating scale) outcomes were evaluated at baseline, at the end of the 4-week program (week 4), and 4 weeks later (week 8). A mixed-model, 2-way analysis of variance was used to analyze treatment effects. RESULTS: No significant group-by-time interaction or group effect was observed for Neck Disability Index, QuickDASH, and numeric pain-rating scale scores (P≥.14) following the intervention. However, both groups showed statistically and clinically significant improvement from baseline to week 4 and to week 8 in Neck Disability Index, QuickDASH, and numeric pain-rating scale scores (P<.05). CONCLUSION: Results suggest that manual therapy and exercises are effective in reducing pain and functional limitations related to CR. The addition of techniques thought to increase the size of the IVF of the affected nerve root yielded no significant additional benefits. Given the absence of a "no treatment" group, a spontaneous resolution of symptoms cannot be excluded. However, the magnitude of improvement makes spontaneous resolution unlikely. The trial was registered at ClinicalTrials.gov (NCT01500044). LEVEL OF EVIDENCE: Therapy, level 1b-.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".