Modeled Reductions in Late-stage Cancer with a Multi-Cancer Early Detection Test

$1.00

Licensing Options

Clear

Category: Cancer

Tags: Model 14

All your purchased models will be available under your account under “Dashboards”

Disease Area (Primary)

Cancer

Disease Area (Secondary)

–

First Developed

01/13/2020

Last Developed

–

Software Used

R (e.g., heemod, BCEA, dampack, hesim)

Model Sponsor

Pharmaceutical or medical device company

Intervention

screening

Model Validation Score

– %

Coming Soon In Phase II: You will be able to pay a fee to download the CADTH Tool for your model which includes subaggregated scores.

Results

The MCED test could intercept 485 cancers per year per 100,000 persons, reducing late-stage (III-IV) incidence by 78% in those intercepted. Accounting for lead time, this could reduce 5-year cancer mortality by 39% in those intercepted, resulting in an absolute reduction of 104 deaths per 100,000, or 26% of all cancer-related deaths. Findings are robust across tumor growth scenarios.

Conclusion

What are the key conclusions or current applications of this model?

Source File(s)

Model:

Download Model File

Publication File:

Publication File 1:

Publication File 2:

Publication File 3:

Publication File 4:

Download Publication File

No link submitted.

Model Review

Only visible for the model owner

Summary

Validation Score

– %

Internal Comments

–

Modeled Reductions in Late-stage Cancer with a Multi-Cancer Early Detection Test

Model:

Model Script 2 :

Model Script 3 :

Model Script 3 :

Publication File:

Publication File 1:

Publication File 2:

Publication File 3:

Publication File 4:

Code file 1 :

Code file 2 :

Code file 3 :

Code file 4 :

Non-Model Script 1 :

Non-Model Script 2 :

Non-Model Script 3 :

Non-Model Script 4 :

Data File 1 :

Data File 2 :

Data File 3 :

Data File 4 :

Document 1 :

Document 2 :

Document 3 :

Document 4 :

Model Review

Summary

Validation Score

Internal Comments