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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

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Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
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What is an Experiment?01:12

What is an Experiment?

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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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Related Experiment Video

Updated: Oct 14, 2025

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Closing the Digitalis Divide: Back to the Basics of Randomized Controlled Trials.

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  • 1Internal Medicine Residency, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA. Jeffrey.Triska@bcm.edu.

Cardiovascular Drugs and Therapy
|November 8, 2021
PubMed
Summary

Digoxin use in heart failure (HF) and atrial fibrillation (AF) may improve outcomes, including reduced hospitalizations and symptom management. High-quality studies suggest potential mortality benefits within therapeutic ranges, especially for high-risk patients.

Keywords:
Atrial fibrillationDigoxinHeart failureMeta-analysisMortalityRandomized controlled trial

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Area of Science:

  • Cardiology
  • Pharmacology
  • Clinical Medicine

Background:

  • Conflicting data on digoxin's effect on mortality in heart failure (HF) and atrial fibrillation (AF) exists.
  • Older randomized controlled trials (RCTs) showed decreased hospitalizations but no effect on all-cause mortality.
  • Recent meta-analyses have linked digoxin to increased mortality, narrowing its clinical application.

Purpose of the Study:

  • To provide a literature perspective on digoxin use in HF and AF.
  • To address the polarization among providers regarding digoxin's efficacy.
  • To evaluate the quality of studies on digoxin's impact on patient outcomes.

Main Methods:

  • Literature review and analysis.
  • Focus on the quality of both older RCTs and recent meta-analyses.
  • Synthesis of evidence regarding digoxin's effects on various patient outcomes.

Main Results:

  • High-quality RCT data suggest digoxin improves functional capacity and symptom management in HF/AF patients.
  • Digoxin use is associated with reduced hospitalizations and fewer HF-related deaths.
  • Potential overall mortality benefit observed within therapeutic serum digoxin concentrations, particularly in high-risk patients (EF < 25%, NYHA Class II-IV).

Conclusions:

  • RCTs, with minimized confounding factors, indicate positive outcomes with digoxin.
  • Further well-designed RCTs are needed to clarify digoxin's impact on mortality, hospitalizations, and symptom management.
  • Evidence supports careful consideration of digoxin in specific HF and AF patient populations.