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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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...
Clinical Trials: Overview01:11

Clinical Trials: Overview

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...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
Preclinical Development: Overview01:28

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

Clinically Relevant Drug Product Specifications: Methods of Establishment

Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...

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Related Experiment Video

Updated: Jun 4, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

The ClinicalTrials.gov results database--update and key issues.

Deborah A Zarin1, Tony Tse, Rebecca J Williams

  • 1Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA. dzarin@mail.nih.gov

The New England Journal of Medicine
|March 4, 2011
PubMed
Summary
This summary is machine-generated.

ClinicalTrials.gov offers public access to clinical trial results. Data analysis reveals issues with outcome measure specificity and reporting completeness, highlighting the need for improved data submission by researchers.

Related Experiment Videos

Last Updated: Jun 4, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Area of Science:

  • Clinical Informatics
  • Biomedical Research
  • Data Science

Background:

  • ClinicalTrials.gov expanded in 2008 to include a summary results database.
  • This study examines the structure, content, and utility of the ClinicalTrials.gov results database.
  • It provides insights into the current state of clinical research reporting.

Purpose of the Study:

  • To summarize the structure and contents of the ClinicalTrials.gov results database.
  • To update relevant policies concerning clinical trial data.
  • To demonstrate how the data can inform the state of clinical research.

Main Methods:

  • Analysis of publicly available ClinicalTrials.gov data from September 2009 to September 2010.
  • Characterization of registry and results records.
  • Examination of publication linkage, outcome measure reporting, and analysis population specificity.

Main Results:

  • As of September 2010, approximately 330 new and 2000 revised registrations, and 30 new and 80 revised results submissions were received weekly.
  • 52% of results records had associated publications within two years.
  • Significant lack of specificity in outcome measures (61%) and incomplete participant reporting (24% reported results for <=90% of participants) were observed.

Conclusions:

  • ClinicalTrials.gov provides crucial public access to study results.
  • The database's utility is contingent upon the research community's commitment to submitting accurate and informative data.
  • Addressing data quality issues is essential for maximizing the value of clinical trial registries.