Cost-effectiveness Analysis of Active Surveillance Strategies for Men with Low-risk Prostate Cancer

A state-transition Markov model was developed to simulate the natural history (ie, no testing or intervention) of prostate cancer for a hypothetical cohort of 50-yr-old men newly diagnosed with low-risk prostate cancer.

Cost-effectiveness
Markov models
State-Transition Models (STM)
Surveillance
Authors

Sathianathen NJ

Konety BR

Alarid-Escudero F

Lawrentschuk NL

Bolton DM

Murphy DG

Weight CJ

Kuntz KM

Published

November 10, 2018

Recommended citation

Sathianathen NJ, Konety BR, Alarid-Escudero F, Lawrentschuk NL, Bolton DM, Murphy DG, Weight CJ, Kuntz KM. Cost-effectiveness Analysis of Active Surveillance Strategies for Men with Low-risk Prostate Cancer. European Urology,
2019;75(6):910-917.

Copied!

@article{sathianathen2019cost,
  title={Cost-effectiveness analysis of active surveillance strategies for men with low-risk prostate cancer},
  author={Sathianathen, Niranjan J and Konety, Badrinath R and Alarid-Escudero, Fernando and Lawrentschuk, Nathan and Bolton, Damien M and Kuntz, Karen M},
  journal={European urology},
  volume={75},
  number={6},
  pages={910--917},
  year={2019},
  publisher={Elsevier}
}


Copied!

%0 Journal Article
%T Cost-effectiveness analysis of active surveillance strategies for men with low-risk prostate cancer
%A Sathianathen, Niranjan J
%A Konety, Badrinath R
%A Alarid-Escudero, Fernando
%A Lawrentschuk, Nathan
%A Bolton, Damien M
%A Kuntz, Karen M
%J European urology
%V 75
%N 6
%P 910-917
%@ 0302-2838
%D 2019
%I Elsevier



Copied!

TY  - JOUR
T1  - Cost-effectiveness analysis of active surveillance strategies for men with low-risk prostate cancer
A1  - Sathianathen, Niranjan J
A1  - Konety, Badrinath R
A1  - Alarid-Escudero, Fernando
A1  - Lawrentschuk, Nathan
A1  - Bolton, Damien M
A1  - Kuntz, Karen M
JO  - European urology
VL  - 75
IS  - 6
SP  - 910
EP  - 917
SN  - 0302-2838
Y1  - 2019
PB  - Elsevier
ER  - 


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Abstract

 

Background

Active surveillance (AS) has become the recommended management strategy for men with low-risk prostate cancer. However, there is considerable uncertainty about the optimal follow-up schedule in terms of the tests to perform and their frequency.

 

Methods

A state-transition Markov model was developed to simulate the natural history (ie, no testing or intervention) of prostate cancer for a hypothetical cohort of 50-yr-old men newly diagnosed with low-risk prostate cancer. Following diagnosis, men were hypothetically managed with immediate treatment, watchful waiting, or one of several AS strategies. AS follow-up was performed either with transrectal ultrasound-guided biopsy or magnetic resonance imaging (MRI) which was scheduled annually, biennially, every 3 yrs, according to the PRIAS protocol (yrs 1, 4, 7, and 10, and then every 5 yr) or every 5 yr. Diagnosis of higher-grade or -stage disease while on AS resulted in curative treatment.

 

Results

Compared to WW, MRI-based surveillance performed every 5 yr improved quality-adjusted survival by 4.47 quality-adjusted months and represented high-value health care at the Medicare reimbursement rate using standard cost-effectiveness metrics. Biopsy-based strategies were less effective and less costly than the corresponding MRI-based strategies for each testing interval. MRI-based surveillance at more frequent intervals had ICERs greater than $800 000 per QALY and would not be considered cost-effective according to standard metrics. Our results were sensitive to the diagnostic accuracy and costs of both biopsy modes in detecting clinically significant cancer.

 

Conclusions

Incorporation of MRI into surveillance protocols at Medicare reimbursement rates and decreasing the intensity of repeat testing may be cost-effective options for men opting for conservative management of low-risk prostate cancer.