Development of a Prognostic Factor Prediction Model in Patients with Musculoskeletal Pain Treated with Homeopathy: An Individual Patient Data Meta-Analysis of Three Randomized Clinical Trials.

Complementary Medicine Research
Robbert van Haselen

Abstract

Prognostic factor research methodology has not yet been applied to randomized clinical trial data of homeopathic medicines. To investigate the principle of individualization in homeopathy by developing a prognostic factor prediction model. A pooled, in-dividual patient data meta-analysis of 3 randomized trials -investigating the efficacy of a homeopathic gel (Spiroflor SRL®) containing Rhus toxicodendron as a key ingredient in osteoarthritis of the knee and acute low back pain. The prognostic value of a predefined set of 5 typical R. toxicodendron symptoms was investigated by assessing treatment-by-symptom interactions on pain as an outcome measure in a regression model. The pooled dataset consisted of 284 patients in the Spiroflor SRL group and 275 patients in the control group. Adjusted for pain at baseline, a statistically significant effect modification for the symptoms "numbness or tingling of the affected part" (+2.0 mm VAS; p = 0.02), "amelioration by movement" (-5.6 mm VAS; p = 0.01), and "amelioration of pain by local heat" (+7.0 mm VAS; p = 0.02) was found. Investigating aspects of treatment individualization in homeopathy using randomized trial data and standard meta-analytical techniques is possible. The symptom ame...Continue Reading

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Citations

Sep 15, 2021·Homeopathy : the Journal of the Faculty of Homeopathy·Michael TeutSusanne Ulbrich-Zürni

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