The sample size was calculated based on a negative predictive value of 97.5%, as established previously [7 (link)]. The sensitivity, specificity, α error, β error, and prevalence rate were set as 84%, 88%, 0.05, 0.10, and 10%, respectively. The prevalence of AMI in adults who visit the ED for nontraumatic chest pain differs in the literature and is reported to range from 4% to 17% [3 (link),18 (link)]. The study sample size was calculated based on a 10% prevalence rate. However, based on a dropout rate of 10%, 8,814 participants will be ultimately required. This calculation is based on the “bdpv” library of R ver. 4.1.0 (R Foundation for Statistical Computing) and a corresponding study [19 (link)].
Protocol detail
Predicting Acute Myocardial Infarction in Chest Pain Patients
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Corresponding Organization :
Other organizations : Sungkyunkwan University, Samsung Medical Center, Soonchunhyang University Hospital, CHA University, CHA Bundang Medical Center
Top 5 similar protocols
Variable analysis
independent variables
- Sensitivity
- Specificity
- α error
- β error
- Prevalence rate
- Negative predictive value
- Prevalence of AMI in adults who visit the ED for nontraumatic chest pain
Annotations
Based on most similar protocols
Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.
Sign up for free or login to display all annotations
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!