Subacute low back pain (LBP) with radiating symptoms is a common musculoskeletal disorder with a risk of chronicization. Manual therapy is often used in physiotherapy to treat LBP, but its effectiveness varies widely due to heterogeneous practices and lack of specificity. The Algo-K algorithm was developed to guide therapists in selecting the most appropriate mobilization technique based on patients' symptomatic responses during movement tests.
This multicenter randomized controlled trial compares the effectiveness of a specific manual therapy guided by the Algo-K algorithm versus a non-specific manual therapy added to a standardized exercise-based physiotherapy program. Sixty adult patients with subacute LBP and radiating pain will be included. Participants will be randomly assigned to either:
- Experimental group: 5 minutes of specific lumbar mobilizations based on the Algo-K decision tree;
- Control group: 5 minutes of non-specific mobilization at a distant thoracic level.
Both groups will receive the same standard physiotherapy care based on exercise and education, delivered over 12 sessions within a 60-day period.
The primary outcome is the Oswestry Disability Index (ODI) score at 26-30 days. Secondary outcomes include pain intensity (Numeric Rating Scale), pain distribution (body diagram), and long-term disability (ODI at 52-60 days). The hypothesis is that the specific, patient-tailored manual therapy will improve functional outcomes and reduce pain more effectively than non-specific mobilization.