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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Clinical Trials: Overview01:11

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Definite Integral01:29

Definite Integral

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Consider a real-valued function defined on a closed interval. One of the fundamental objectives in calculus is to determine the area under the graph of such a function. When an exact computation is not readily available, this area can be estimated by dividing the interval into a finite number of equal subintervals. Each subinterval corresponds to a rectangle whose width is the length of the subinterval and whose height is determined by the value of the function at a selected point within that...
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Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

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In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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In Silico Clinical Trials for Cardiovascular Disease
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2017 Cardiovascular and Stroke Endpoint Definitions for Clinical Trials.

Karen A Hicks1, Kenneth W Mahaffey2, Roxana Mehran3

  • 1Division of Cardiovascular and Renal Products, Office of Drug Evaluation I, Center for Drug Evaluation and Research (CDER), United States Food and Drug Administration (FDA), Silver Spring, Maryland.

Journal of the American College of Cardiology
|March 3, 2018
PubMed
Summary
This summary is machine-generated.

Standardized definitions for cardiovascular and stroke outcomes were developed by the U.S. Food and Drug Administration (FDA) to improve clinical trial data. These common definitions aid in data aggregation and analysis for drug and device development.

Keywords:
cardiovascular and stroke endpoint definitionscardiovascular and stroke outcome definitionscardiovascular and stroke outcomescardiovascular endpoint definitionscardiovascular endpointscardiovascular outcomesclinical trial endpoint definitionsclinical trial endpointsendpoint definitionsendpointsoutcome definitionsstroke endpoint definitionsstroke endpointsstroke outcomes

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Area of Science:

  • Cardiology
  • Clinical Trials
  • Regulatory Science

Background:

  • Clinical trials for cardiovascular and stroke outcomes require consistent data collection.
  • The U.S. Food and Drug Administration (FDA) established an initiative to standardize data collection.
  • Existing methods may lack uniformity, impacting data aggregation and analysis.

Purpose of the Study:

  • To describe uniform definitions for cardiovascular and stroke outcomes.
  • To simplify the design and conduct of clinical trials supporting marketing applications.
  • To provide standardized definitions for potential use in clinical care processes.

Main Methods:

  • Development of uniform definitions by the Standardized Data Collection for Cardiovascular Trials Initiative and the FDA.
  • Review and consensus on outcome definitions for cardiovascular and stroke events.
  • Consideration of applicability beyond marketing applications.

Main Results:

  • Uniform definitions for cardiovascular and stroke outcomes have been established.
  • FDA use of these definitions enhances data aggregation across development programs.
  • These definitions facilitate meta-analyses for cardiovascular safety and comparative effectiveness of drugs and devices.

Conclusions:

  • Standardized definitions improve the ability to aggregate and analyze cardiovascular trial data.
  • The definitions support meta-analyses and comparisons of medical products.
  • Further research is needed to confirm if prospective data collection with these definitions enhances trial design and interpretability.