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October 24, 2018Advances in Therapy734 citationsOpen Access

Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician

LBLawrence BlondeKKKamlesh KhuntiSHStewart B. Harris

Key Points

  • This review aims to explore how real-world clinical data can complement findings from randomized clinical trials.
  • Analysis of data from electronic health and claims databases.
  • Review of observational studies collecting both prospective and retrospective data.
  • Discussion of safety, effectiveness, and economic outcomes of treatments in diverse patient populations.
  • Real-world studies provide valuable insights on long-term safety and effectiveness of treatments.
  • Data from these studies reflect more heterogeneous patient populations compared to RCTs.
  • Evidence supports the integration of real-world data to inform clinical decision-making.

Abstract

Real-world studies have become increasingly important in providing evidence of treatment effectiveness in clinical practice. While randomized clinical trials (RCTs) are the "gold standard" for evaluating the safety and efficacy of new therapeutic agents, necessarily strict inclusion and exclusion criteria mean that trial populations are often not representative of the patient populations encountered in clinical practice. Real-world studies may use information from electronic health and claims databases, which provide large datasets from diverse patient populations, and/or may be observational, collecting prospective or retrospective data over a long period of time. They can therefore provide information on the long-term safety, particularly pertaining to rare events, and effectiveness of drugs in large heterogeneous populations, as well as information on utilization patterns and health and economic outcomes. This review focuses on how evidence from real-world studies can be utilized to complement data from RCTs to gain a more complete picture of the advantages and disadvantages of medications as they are used in practice.Funding: Sanofi US, Inc.

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Blonde et al. (2018) studied this question.

synapsesocial.com/papers/69dcc9aaf3d3790cb7133d9ehttps://doi.org/10.1007/s12325-018-0805-y
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