Vertical traction for lumbar radiculopathy: a systematic review

Background: Only low-quality evidence is currently available to support the effectiveness of different traction modalities in the treatment of lumbar radiculopathy (LR). Yet, traction is still very commonly used in clinical practice. Some authors have suggested that the subgroup of patients presenting signs and symptoms of nerve root compression and unresponsive to movements centralizing symptoms may benefit from lumbar traction. The aim of this study is to conduct a systematic review of randomized controlled trials (RCTs) on the effects of vertical traction (VT) on pain and activity limitation in patients affected by LR. Methods: We searched the Cochrane Controlled Trials Register, PubMed, CINAHL, Scopus, ISI Web of Science and PEDro from their inception to March 31, 2019 to retrieve RCTs on adults with LR using VT to reduce pain and activity limitation. We considered only trials reporting complete data on outcomes. Two reviewers selected the studies, extracted the results, and performed the quality assessment using the Risk of Bias and GRADE tools. Results: Three studies met the inclusion criteria. Meta-analysis was not possible due to the heterogeneity of the included studies. We found very low quality evidence for a large effect of VT added to bed rest when compared to bed rest alone (g = - 1.01; 95% CI = -2.00 to - 0.02). Similarly, VT added to medication may have a large effect on pain relief when compared to medication alone (g = - 1.13; 95% CI = -1.72 to - 0.54, low quality evidence). Effects of VT added to physical therapy on pain relief were very small when compared to physical therapy without VT (g = - 0.14; 95% CI = -1.03 to 0.76, low quality evidence). All reported effects concerned short-term effect up to 3 months post-intervention. Conclusions: With respect to short-term effects, VT may have a positive effect on pain relief if added to medication or bed rest. Long-term effects of VT are currently unknown. Future higher quality research is very likely to have an important impact on our confidence in the estimate of effect and may change these conclusions.