Lumbar disc herniation is one of the most common causes of low back and leg pain in clinic. There are a lot of non-surgical therapeutic methods widely used in clinic for treating lumbar disc herniation. The author assessed the available systematic reviews of non-surgical methods in treating lumbar disc herniation which had been published in these years, and finally a total of 13 systematic reviews were retrieved including 1 about conservative treatments, 8 Chinese medicine treatments, and 4 percutaneous treatments, such as chemonucleolysis and epidural steroid injection. The results showed that the conservative treatments included injections, traction, physical therapy, bed rest, manipulation, medication, and acupuncture. But no evidence was found to show that any of the above treatments was clearly superior to others including no treatment for patients with lumbar disc herniation. The outcomes from some reviews showed that Chinese medicine treatments were safer and comprehensive treatment of traditional Chinese medicine was relatively effective compared with single treatment. Electro-acupuncture, compared with conventional therapy (bed rest, waist protection, pelvic traction, manual or physical therapy) and oral medications as well, was safe and effective in alleviating pain and improving overall function. Chinese medicinal fumigation combined with traction was more effective than single treatment. Percutaneous treatment of chemonucleolysis had much better short-term effectiveness. Percutaneous epidural steroid injection also had certain effects. To summarize, Chinese medicine and percutaneous treatments may be effective in treating lumbar disc herniation. However, more clinical trials are needed, since current evidence is of low quality.
In the realm of data mining based on modern acupuncture clinical research, the impact of literature features such as literature quality, evidence level, sample size, and clinical efficacy on the quality of data mining outcomes remains uncertain. These issues are significant factors restricting the translational application of data mining research results. We suggest employing both entropy weight and linear weighting techniques to assess the specified indicators. This assessment results in a comprehensive weighted score for acupuncture prescriptions, serving as the foundation for our ensuing data mining endeavors. In this study, migraine research serves as an example to contrast the efficacy of weighted algorithms against that of classical algorithms. The findings demonstrate that the algorithm introduced in this research significantly contributes to studies focusing on the dispersed selection of acupuncture points. Its superiority lies in cluster analysis, where it adeptly discerns potential patterns in the amalgamation of acupoints. This algorithm amalgamates evidence-based acupuncture with data mining processes, providing innovative perspectives that augment the caliber of research in acupuncture data mining. Nonetheless, additional research is essential to corroborate these results.