How Good Is "Evidence" from Clinical Studies of Drug Effects and Why Might Such Evidence Fail in the Prediction of the Clinical Utility of Drugs?

Promising evidence from clinical studies of drug effects does not always translate to improvements in patient outcomes. In this review, we discuss why early evidence is often ill suited to the task of predicting the clinical utility of drugs. The current gap between initially described drug effects...

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Veröffentlicht in:Annual review of pharmacology and toxicology 2015-01, Vol.55 (1), p.169-189
Hauptverfasser: Naci, Huseyin, Ioannidis, John P.A
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description Promising evidence from clinical studies of drug effects does not always translate to improvements in patient outcomes. In this review, we discuss why early evidence is often ill suited to the task of predicting the clinical utility of drugs. The current gap between initially described drug effects and their subsequent clinical utility results from deficits in the design, conduct, analysis, reporting, and synthesis of clinical studies-often creating conditions that generate favorable, but ultimately incorrect, conclusions regarding drug effects. There are potential solutions that could improve the relevance of clinical evidence in predicting the real-world effectiveness of drugs. What is needed is a new emphasis on clinical utility, with nonconflicted entities playing a greater role in the generation, synthesis, and interpretation of clinical evidence. Clinical studies should adopt strong design features, reflect clinical practice, and evaluate outcomes and comparisons that are meaningful to patients. Transformative changes to the research agenda may generate more meaningful and accurate evidence on drug effects to guide clinical decision making.
doi_str_mv 10.1146/annurev-pharmtox-010814-124614
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source Annual Reviews Complete A-Z List; MEDLINE
subjects bias
clinical trials
Clinical Trials as Topic - economics
Clinical Trials as Topic - methods
Clinical Trials as Topic - standards
Clinical Trials as Topic - statistics & numerical data
Conflict of Interest
Data Interpretation, Statistical
drug therapy
Drug-Related Side Effects and Adverse Reactions - etiology
Endpoint Determination
Evidence-Based Medicine - economics
Evidence-Based Medicine - methods
Evidence-Based Medicine - standards
Evidence-Based Medicine - statistics & numerical data
Humans
Patient Safety
Patient Selection
precision medicine
prediction in pharmacology
Quality Improvement
Quality Indicators, Health Care
Research Design - standards
Research Design - statistics & numerical data
Research Support as Topic
Risk Assessment
Risk Factors
treatment effectiveness
Treatment Outcome
title How Good Is "Evidence" from Clinical Studies of Drug Effects and Why Might Such Evidence Fail in the Prediction of the Clinical Utility of Drugs?
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