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There are few reports concerning to the seasonal variation of osteoporosis treatment. In this study, we plan to compare clinical efficacy and safety by seasons.
The study aims at investigating whether the natural calcium isotope ratio (δ44/40Ca) in urine and serum differs between postmenopausal women aged 50 to 75 years suffering from osteoporosis and a healthy control group and whether δ44/40Ca in urine and serum can be used for the diagnosis of osteoporosis or whether further parameters have to be included.
This is a multicenter cohort study on osteoporosis in six cities of China which locate in the east, south, north, west, middle of China respectively. At least 3000 middle-aged and elderly permanent residents (women aged from 45 to 79, and men aged from 50 to 79) in every city were enrolled. Residents with severe mental diseases, physical diseases or acute infectious diseases who could not cooperate with the survey as well as lactating or pregnant women were excluded. All the enrolled residents who signed informed consent will finish questionnaire including demographic characteristics, history of smoking, alcohol drinking, falls and fracture, family, chronic diseases and medicine,diary and physical practice. Osteoporosis risk, health status (EQ-5D) and constitution of traditional Chinese medicine (TCM) will be evaluated. Fasting blood tests, bone mineral density and physical examinations (height, weight, waist circumference, hip circumference,grip,sit-to-stand test, tongue coating and pulse) will be performed at enrollment and every two years after enrollment. DNA of blood cells will be preserved.
The purpose of this study is to estimate the effect of oral Boniva (ibandronate sodium)taken once monthly versus placebo on bone quality and strength at the hip at one year.
This is a double blind, randomized, placebo -controlled clinical trial with the primary goal of determining the osteogenic benefits of simvastatin in acute SCI.
A randomized, double-blind, placebo-controlled trial including 160 consecutive patients who have been diagnosed with both rheumatoid arthritis (RA) and osteoporosis and have been treated with alendronate (ALN) for five years or more. Patients will be randomized to discontinuation or continuation of alendronate. Outcomes are measured using dual energy absorptiometry (DXA), High Resolution peripheral Quantitative Computer Tomography (HR-pQCT) and biochemical markers of bone metabolism and inflammation after 6 months, 1 and 2 years.
The primary objective of the trial is to develop Epimedium Prenylflavonoid (EP) extract as a pharmaceutical-quality intervention for post-menopausal osteoporosis and cardiovascular disease. There will be 3 cohorts of 10 healthy men each for the Phase 1 study. In each cohort, 8 men will receive the Epimedium capsules and 2 men will received the matched controls.
Introduction: in the course of the research, the investigators will develop a decision-support system (comorbidity-DSS) consisting (1) a knowledge base (KB) consisting of (a) computer-interpretable clinical guidelines for type 2 diabetes and 2 other diseases from: obstructive pulmonary disease, osteoporosis, hypertension, and osteoarthritis; and (b) an ontology of relevant general medical knowledge that could complement (a) in order to propose non conflicting treatment options not mentioned in the clinical practice guidelines; and (2) an algorithm that matches the KB with a patient's data set to identify the guidelines-based recommendations applicable for the patient and their interactions and which proposes ways to mitigate conflicting interactions (e.g., suggesting to select intervention A.2 (instead of A.1) from guideline A and intervention B.3 (instead of B.1) from guideline B together with an action B' mentioned in the general medical knowledge, because these interventions are not conflicting yet A.3 fulfills the same goals as intervention A.1 and intervention B.3 + B' together fulfill the same goal as B.1). Research purpose: Assessing the correctness and completeness of detection of recommendation-interaction and generation of conflict-free recommendations by a comorbidity-DSS Research question: How will the usage of the comorbidity-DSS affect the completeness and correctness of clinicians regarding (a) detection of interactions between recommendations originating from different clinical guidelines applicable for patients with comorbidities and (b) identification of interventions that fulfill the guidelines' goals and are not conflicting.
Evaluate the support of osteoporosis in women over 50 years with severe osteoporotic fractures (hip, vertebral, rib, Humeral, pelvic fractures) in the Nîmes University Hospital taking prediction of treatment of osteoporosis as criterion.
This study aims to create a database of patients with stable and chronic heart failure with comprehensive assessment of bone, skeletal and vascular status. RoC-HF will facilitate cross-sectional and, eventually, longitudinal mechanistic epidemiological analyses to disentangle the role of the bone- vascular axis in chronic heart failure. Blood and urine samples will be stored to facilitate future biomarker analyses.