Overall response rate of two or more treatments
In the context of many clinical trials, particularly phase III, researchers are interested in comparing the two, under evaluation, treatments, in terms of the response rate, both complete and partial, after a certain period of time.
Examples: In the context of these studies, healthcare professionals record for each participant whether, after a certain period of administration of each treatment, they show: complete response (CR), partial response (PR) or progression of the disease (Progression of Disease-PD), and then compare the treatments under investigation, in terms of the rate of overall response that occurred (CR and PR).
The problem
In the context of many clinical trials, particularly phase III, researchers are interested in comparing the two, under evaluation, treatments, in terms of the response rate, both complete and partial, after a certain period of time. For example, in the context of these studies, healthcare professionals record for each participant whether, after a certain period of administration of each treatment, they show: complete response (CR), partial response (PR) or progression of the disease (Progression of Disease-PD), and then compare the treatments under investigation, in terms of the rate of overall response that occurred (CR and PR).
The purpose
Indication of the most effective treatment in terms of overall response rate (CR and PR).
The solution
By using the appropriate statistical methodology (Pearson chi-square test, Fisher's exact test) and after the test of the assumptions, a comparison will be made between the two or more compared treatments, in order to enable the user to evaluate which of the under investigation treatments are more effective in terms of overall response rate (CR and PR).
The benefit
Healthcare professionals will be able to easily, quickly and without prior statistical knowledge, evaluate the effectiveness of a treatment they are interested in, in terms of the overall response rate (CR and PR).
Indicative presentation of the data needed
- The first column of the data file must contain the code of the patients receiving the treatment the user is interested in (e.g. Unique Patient Code). In case there is no patient code in the user's data file, then in the first column he should add a serial number.
- The second column should contain which medication the participant received (e.g. 0: Standard treatment, 1: Suggested treatment).
- The third column should contain the information regarding the response of each participant (e.g. 0: Progression of the disease, 1: Complete/Partial response) after a certain period of time of administration of each treatment (e.g. 6 months).
Table 1. Indicative table of input data from the application user
|
Patient Code |
Treatment |
Response |
|
1 |
Standard |
Disease progression |
|
2 |
Standard |
Disease progression |
|
3 |
Standard |
Full/Partial response |
|
4 |
Suggested |
Full/Partial response |
|
5 |
Suggested |
Full/Partial response |
|
6 |
Suggested |
Disease progression |
System Prerequisites:
- Toolbox accepts xlsx or csv files.
- The partial/complete response variable must not contain missing data.
- The variable denoting the treatment must not contain missing data.
Output:
After the data input by the user and after a short period for the automated analysis to be completed, a report of the results and the statistical methods used is extracted from the system.
Note: For any clarification you need regarding the content of the use case or any information related to the collection or validity of your data please contact us.
