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In broad usage, the "practical clinical significance" answers the question, how effective is the intervention or treatment, or how much change does the treatment cause. In terms of testing clinical treatments, practical significance optimally yields quantified information about the importance of a finding, using metrics such as effect size, number needed to treat (NNT), and preventive fraction ...
Medication that have label indications mean that they were approved by the FDA. This means that they are clinically significant for the indication and manufacturers are allowed to market their drug for the indication. [2] A drug can have more than one FDA labeled indication, which means that it can be used for multiple medical conditions. [5]
Physiological relevance is a critical factor in biomedical research because it helps to bridge the gap between basic science and clinical application. Researchers aim to design studies that not only yield statistically significant results but also have direct implications for understanding human health and disease. [1]
A clinical trial is a research study to answer specific questions about vaccines or new therapies or new ways of using known treatments. Clinical trials (also called medical research and research studies) are used to determine whether new drugs or treatments are both safe and effective.
A complication in medicine, or medical complication, is an unfavorable result of a disease, health condition, or treatment.Complications may adversely affect the prognosis, or outcome, of a disease.
Clinical implications [ edit ] Immunisation of mothers against male-specific minor histocompatibility (H-Y) antigens has a pathogenic role in many cases of secondary recurrent miscarriage , that is, recurrent miscarriage in pregnancies succeeding a previous live birth.
Clinical research is a branch of medical research that involves people and aims to determine the effectiveness and safety of medications, devices, diagnostic ...
The investigators then obtain a standard set of clinical observations on each patient and a test or clinical follow-up to define the true state of the patient. They then use statistical methods to identify the best clinical predictors of the patient's true state. The probability of disease will depend on the patient's key clinical predictors.