Comparative Clinical Effectiveness and Long-Term Functional Outcomes of Conservative Versus Surgical Management in Degenerative and Compressive Spinal Disorders

The clinical decision between conservative and surgical management in degenerative and compressive spinal disorders remains one of the most consequential and debated challenges in spine care. While surgical intervention frequently provides rapid neural decompression and immediate symptomatic relief, structured conservative treatment modalities encompassing physiotherapy, pharmacological therapy, lifestyle modification, and multidisciplinary rehabilitation offer non-invasive alternatives with variable long-term effectiveness that are appropriate across a substantial portion of the patient spectrum. The present study provides a comprehensive analytical comparison of conservative and surgical spine management using a retrospective cohort of 420 patients diagnosed with lumbar spinal stenosis, cervical spondylotic myelopathy, lumbar disc herniation, osteoporotic vertebral compression fractures, and spinal cavernous malformations, monitored over a 24-month follow-up period. Parametric statistical analyses independent-samples t-tests, one-way ANOVA, and multiple linear regression modelling were applied to quantify between-group outcome differences and to identify the independent predictors of functional recovery. Surgical intervention demonstrated significantly superior short-term pain reduction and neurological recovery in moderate-to-severe cases (β = 0.42, p < .001). Structured conservative management produced comparable long-term functional improvement in mild pathology (β = 0.36, p < .001), confirming its status as a clinically appropriate primary treatment in stable presentations. Delayed surgical timing was the strongest adverse predictor of functional recovery (β = −0.44, p < .001), confirming the critical importance of timely clinical decision-making in progressive spinal disease. Psychosocial resilience was an independent positive predictor of outcome across both treatment modalities (β = 0.29, p < .01). The regression model accounted for 74% of variance in 24-month functional outcomes (R² = 0.74, F(4, 415) = 295.67, p < .001). Findings underscore the primacy of severity-stratified, individualised treatment algorithms, psychosocial assessment, and digital health technology integration in optimising spine management outcomes.