Progression-free survival (PFS) of two or more treatments
In the context of many studies, interventional or non-interventional, researchers are interested in the long-term effectiveness of therapeutic treatments, in terms of the probability of survival without progression of the disease.
Examples: In the context of an interventional phase III clinical trial comparing two different treatments, the researchers were interested in comparing the two treatments in terms of the probability of survival without disease progression and to determine whether and which of the two treatments was associated with a greater risk of progression disease. For this reason, their aim was to compare the two comparison groups in terms of the probability of survival without disease progression.
The problem
In the context of many studies, interventional or non-interventional, researchers are interested in the long-term effectiveness of therapeutic treatments, in terms of the probability of survival without progression of the disease. In the context of an interventional phase III clinical trial comparing two different treatments, the researchers were interested in comparing the two treatments in terms of the probability of survival without disease progression and to determine whether and which of the two treatments was associated with a greater risk of progression disease. For this reason, their aim was to compare the two comparison groups in terms of the probability of survival without disease progression.
The purpose
Indication of the most effective therapeutic treatment in terms of the greatest probability of survival without progression of the disease.
The solution
By using the appropriate statistical methodology (Log-rank test) and after the necessary control of the basic conditions, a comparison will be made between the two compared groups, in order to enable the user to evaluate which of the two treatments under consideration is more effective as towards the probability of survival without disease progression.
The benefit
Health professionals will be able to easily, quickly and without having any special level of statistical knowledge, evaluate the effectiveness of a treatment they are interested in, in terms of the probability of survival without progression of the disease.
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: Recommended treatment).
- The third column should contain the date the participant joined the study and received treatment.
- The fourth column should contain the date of disease progression or death, whichever occurred first. Otherwise it will contain the date it was last watched.
- The fifth column should contain the information about whether disease progression or death occurred (e.g. 1: Yes, 0: No).
Note: The columns that will contain the date should be in the format DD/MM/YYYY.
Table 1. Indicative table of input data from the application user
|
Patient Code |
Treatment |
Date of entry into the study |
Date of disease progression or death or date of last follow-up |
Disease progression or death |
|
1 |
Standard |
01/10/2021 |
20/10/2021 |
Yes |
|
2 |
Standard |
15/10/2021 |
01/11/2021 |
Yes |
|
3 |
Standard |
05/10/2021 |
30/06/2022 |
No |
|
4 |
Suggested |
09/10/2021 |
25/04/2022 |
No |
|
5 |
Suggested |
18/10/2021 |
30/06/2022 |
No |
|
6 |
Suggested |
27/10/2021 |
22/03/2022 |
Yes |
System Prerequisites:
- Toolbox accepts xlsx or csv files.
- The two variables denoting the dates must not contain missing data.
- The variable denoting the treatment must not contain missing data.
- The variable indicating the progression of the disease 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.
