Related Experiment Video
Updated: Jan 24, 2026

09:09
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
2.2K
Explore thyself: is it time for metacognition screening in clinical trials?
Andrew McGarry1, Scott Y H Kim2, Peggy Auinger3
1Cooper University Healthcare at Rowan University, Camden, NJ, USA.
Clinical Parkinsonism & Related Disorders
|January 23, 2026
Summary
Metacognition, the ability to reflect on one's thoughts, may be impaired in Parkinson's Disease (PD) clinical trial participants. Assessing metacognitive ability could improve the reliability of self-reported outcomes in PD research.
Area of Science:
- Neuroscience
- Clinical Research Methodology
Background:
- Participant self-report is crucial for evaluating Parkinson's Disease (PD) therapeutics.
- Current clinical trial designs often overlook participants' ability to accurately self-report due to potential cognitive or behavioral disturbances.
- Metacognition, essential for self-reflection, is not typically assessed in PD trial screening.
Purpose of the Study:
- To highlight the importance of metacognition in the self-reported outcomes of Parkinson's Disease clinical trials.
- To propose the assessment of metacognitive ability as a critical component in screening and conducting PD trials.
Main Methods:
- Review of existing literature on self-report in clinical trials and metacognition.
- Discussion of the potential impact of metacognitive deficits on self-reported data in Parkinson's Disease.
Main Results:
- Metacognitive impairment is a potential concern in individuals eligible for Parkinson's Disease studies.
- The lack of metacognitive assessment may compromise the validity of self-reported outcomes in PD trials.
Conclusions:
- Assessing metacognition during screening or study conduct could enhance the reliability of self-reported data in Parkinson's Disease research.
- Future research should model the impact of varying metacognitive capabilities on trial outcomes and develop assessment tools.
Related Concept Videos
Clinical Trials
10.2K
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...
There are four phases in a clinical trial. A phase one...
10.2K
Clinical Trials: Overview
4.7K
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...
4.7K
Metacognition
764
Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
764
Statistical Software for Data Analysis and Clinical Trials
1.4K
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...
1.4K
Trial and Error and Algorithm
403
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...
403
Nursing Clinical Information System
1.3K
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.3K

