Design of clinical trials for chronic diseases: implications for periodontal disease.
In order to make effective use of the statistical theory of design of clinical trials for chronic diseases such as periodontal disease, certain issues must be considered. Any clinical trial requires that the disease definition be well-specified; that patient eligibility be explicit; that the observation times be explicit; that the duration and endpoint of therapy be specified; that the duration of subsequent followup observation be specified; and that the unit of observation (e.g., tooth, set of teeth, patient) be defined. In a chronic disease, the potential biases that can readily be introduced by self-selection of patients who enter the trial and/or who return for subsequent observation become more important, because subjects are required to remain on treatment and/or observation for prolonged periods. Further, the cyclical nature of some chronic diseases may require special attention to baseline definitions of active disease and disease outcome. These issues are illustrated with examples from clinical trials of hypertension, breast cancer screening, and Polycythemia Vera. Implications for periodontal disease are discussed.
D001943:Breast Neoplasms / Q000175:diagnosis; D002908:Chronic Disease; D002986:Clinical Trials as Topic; D005260:Female; D006801:Humans; D006973:Hypertension / Q000175:diagnosis / Q000628:therapy; D010510:Periodontal Diseases / Q000517:prevention & control / Q000628:therapy*; D011086:Polycythemia / Q000503:physiopathology / Q000628:therapy; D012107:Research Design; D013223:Statistics as Topic