The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential
- PMID: 29331214
- DOI: 10.1016/j.eururo.2017.12.028
The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential
Abstract
Background: It has been shown that the Stockholm-3 model (S3M) outperforms prostate-specific antigen (PSA) as a screening tool for prostate cancer.
Objective: To update the S3M, to give a detailed account of the value of each predictor in the S3M, and to evaluate the S3M as a reflex test for men with PSA ≥3ng/ml.
Design, setting, and participants: During 2012-2015, the Stockholm-3 study evaluated the S3M relative to PSA as tests for Gleason score ≥7 prostate cancers among men aged 50-69 yr. The participants (n=59 159) underwent both tests, and biopsy was recommended if at least one was positive. A total of 5073 men had a biopsy because of elevated PSA (≥3ng/ml).
Outcome measurements and statistical analysis: Logistic regression was used to update the S3M: intact PSA was removed, HOXB13 was included, and the model was fitted to data from the Stockholm-3 training and validation cohorts. To compare S3M with PSA, we fixed the sensitivity for detection of high-grade cancer and evaluated the performance as the number of biopsies needed to achieve that sensitivity for each test.
Results and limitations: The updated S3M slightly improved the area under the receiver operating characteristic curve compared to previously published results (0.75 vs 0.74). When used as a reflex test for men with PSA ≥3ng/ml, S3M reduced the number of biopsies needed by 34% compared to the use of PSA alone, with equal sensitivity. A limitation is the ethnically homogeneous population.
Conclusions: A major problem with PSA screening-too many unnecessary biopsies-can be mitigated if S3M is used as a reflex test.
Patient summary: To find aggressive prostate cancer with the minimum number of negative biopsies and detection of clinically insignificant cancers, we evaluated the use of a personalized diagnostic prediction model as a second test for men with a positive prostate-specific antigen (PSA) test. We found that this two-step approach could reduce prostate biopsies by a third compared to using PSA alone.
Keywords: Paired screen-positive design; Prostate cancer screening; Prostate-specific antigen; Reflex test; Stockholm-3 model.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.
Comment in
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Re: Peter Ström, Tobias Nordström, Henrik Grönberg, Martin Eklund. The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2017.12.028.Eur Urol. 2018 Jul;74(1):e9. doi: 10.1016/j.eururo.2018.03.010. Epub 2018 Mar 26. Eur Urol. 2018. PMID: 29598982 No abstract available.
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Reply to Ola Bratt and Anna Öfverholm's Letter to the Editor re: Peter Ström, Tobias Nordström, Henrik Grönberg, Martin Eklund. The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2017.12.028.Eur Urol. 2018 Jul;74(1):e10-e11. doi: 10.1016/j.eururo.2018.03.009. Epub 2018 Mar 26. Eur Urol. 2018. PMID: 29598984 No abstract available.
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