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Intermediate versus hard end points in clinical trials on hypertension
1Clinica Medica, Ospedale S. Gerardo, Via Donizetti 106, 20052 Monza (Milano), Italy. guido.grassi@unimib.it
Current Hypertension Reports
|August 3, 2005
Summary
This review examines randomized clinical trials for hypertension treatment, comparing clinical events versus surrogate outcomes. It highlights the pros, cons, and clinical significance of each approach in managing high blood pressure.
Area of Science:
- Cardiology
- Clinical Trials
- Hypertension Management
Background:
- Randomized clinical trials (RCTs) are crucial for evaluating hypertension treatments.
- Assessing treatment efficacy requires careful consideration of outcome measures.
- Both clinical events and surrogate markers are used in hypertension RCTs.
Purpose of the Study:
- To review the key features of RCTs in hypertension treatment.
- To compare the use of clinical events versus surrogate outcome measures.
- To analyze the advantages, limitations, and clinical relevance of each outcome assessment method.
Main Methods:
- Literature review of published randomized clinical trials in hypertension.
- Analysis of studies utilizing clinical event outcomes (e.g., stroke, myocardial infarction).
- Analysis of studies employing surrogate outcome measures (e.g., blood pressure reduction).
Main Results:
- Clinical event-based trials provide definitive evidence of treatment benefit but require large sample sizes and long follow-up.
- Surrogate outcome trials offer faster results and require smaller sample sizes but may not always correlate with clinical benefit.
- Both approaches have distinct advantages and limitations in assessing hypertension therapies.
Conclusions:
- The choice between clinical events and surrogate outcomes in hypertension trials depends on research questions, resources, and desired certainty.
- Understanding the strengths and weaknesses of each method is vital for interpreting trial results and guiding clinical practice.
- Future hypertension research should strategically employ both outcome measures to optimize treatment evaluation.
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