| Autor: |
Eftekhari Mahabadi S; School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran., Khalifeh R; School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran., Ghods R; Department of Traditional Medicine, Institute for Studies in Medical History, Persian and Complementary Medicine, School of Persian Medicine, Iran University of Medical Sciences, Tehran, Iran., Wieland LS; University of Maryland School of Medicine, Baltimore, MD, USA., Ghelman R; Department of Medicine on Primary Care, Faculty of Medicine, Federal University of Rio de Janeiro, Brazil., Shojaii A; Department of Traditional pharmacy, Institute for Studies in Medical History, Persian and Complementary Medicine, School of Persian Medicine, Iran University of Medical Sciences, Tehran, Iran., Zareian A; Departments of Public Health and Health in Disaster & Emergencies. School of Nursing, AJA University of Medical Sciences, Tehran, Iran., Hosseini Yekta N; Department of Persian Medicine, School of Traditional Medicine, Shahid Beheshti University of Medical Sciences, Tehran. |
| Abstrakt: |
Objectives: In holistic medicine, developing personalized treatment plans is challenging due to the multitude of possible therapy combinations. This study introduces the use of a statistical approach to identify the most effective herbal medicines prescribed in Persian medicine (PM) in a small-scale sample of patients with type 2 diabetes mellitus (T2DM). Methods: This prospective observational cohort study was conducted with 47 patients with T2DM referred to Behesht Clinic in Tehran, Iran. A physician prescribed individualized PM treatment for T2DM and related systemic issues. The fasting blood sugar (FBS) level of each patient was recorded at initial and two follow-up visits, with visit intervals and treatment modifications determined by patient health status. Patients who completed two follow-up visits were included in the final analysis ( n = 27). Data were analyzed using R software. A general linear model was assumed for the mean response, along with an exponential covariance pattern model, to manage irregularly timed measurements. Results: Two fitted models showed that, after adjusting for confounders, the use of the "Diabetes Capsule" significantly reduced the average FBS by 17.14 mmol/L ( p = 0.046). For each unit increase in the consumption of "Diabetes Capsule" or "Hab-e-Amber Momiai," the average FBS decreased by 15.22 mmol/L ( p = 0.015) and 14.14 mmol/L ( p = 0.047), respectively. Conclusion: It is possible to observe which medications are most effective, even when treatments are applied in a holistic and personalized fashion. Preliminary studies such as these may identify promising products for testing in clinical trials conducted under standardized conditions, to inform initial choices for future personalized treatments. |
