Resources for Clinical Research in the JID
- In all observational research, one will sooner or later be confronted with the question of whether a certain exposure is related to an outcome. For example, is the risk of cutaneous melanoma affected by the use of nonsteroidal anti-inflammatory drugs (NSAIDs) or is psoriasis an independent predictor for the occurrence of cardiovascular diseases? Questions like these can be answered using multivariable regression analysis. This technique can be used in observational research to adjust for confounders, to assess the effect size of risk factors, or to develop prediction models.
- Outcome measures are powerful tools in a clinician’s armamentarium. These instruments capture clinical information and may supplement clinical judgment in order to optimize management approach, medical treatment, and referrals to other appropriate health-care providers. They may shed light on psychosocial issues while providing insight into gaps in understanding not previously considered by the clinician or the patient. These tools highlight variability between diseases when using the same scoring system and may influence clinical guideline recommendations.