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Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark

OBJECTIVE: Among patients with prostate cancer, diagnostic codes for bone metastases in the Danish National Registry of Patients have a sensitivity of 44%. In an attempt to improve the sensitivity of registry-based identification of metastases from prostate cancer, we tested a series of algorithms,...

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Autores principales: Ehrenstein, Vera, Hernandez, Rohini K, Maegbaek, Merete Lund, Kahlert, Johnny, Nguyen-Nielsen, Mary, Nørgaard, Mette, Liede, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401359/
https://www.ncbi.nlm.nih.gov/pubmed/25914556
http://dx.doi.org/10.2147/CLEP.S74991
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author Ehrenstein, Vera
Hernandez, Rohini K
Maegbaek, Merete Lund
Kahlert, Johnny
Nguyen-Nielsen, Mary
Nørgaard, Mette
Liede, Alexander
author_facet Ehrenstein, Vera
Hernandez, Rohini K
Maegbaek, Merete Lund
Kahlert, Johnny
Nguyen-Nielsen, Mary
Nørgaard, Mette
Liede, Alexander
author_sort Ehrenstein, Vera
collection PubMed
description OBJECTIVE: Among patients with prostate cancer, diagnostic codes for bone metastases in the Danish National Registry of Patients have a sensitivity of 44%. In an attempt to improve the sensitivity of registry-based identification of metastases from prostate cancer, we tested a series of algorithms, combining elevated prostate-specific antigen (PSA) levels, use of antiresorptive therapy, and performed bone scintigraphy. PATIENTS AND METHODS: We randomly selected 212 men diagnosed with prostate cancer in 2005–2010 in the Central Denmark Region with prespecified PSA values, antiresorptive therapy, and bone scintigraphy who did not have a registry-based diagnostic code indicating presence of distant metastases. We defined three candidate algorithms for bone metastases: 1) PSA >50 μg/L and bone scintigraphy, 2) PSA >50 μg/L and antiresorptive therapy, and 3) PSA ≤50 μg/L with antiresorptive therapy or bone scintigraphy. An algorithm for distant metastasis site other than bone was defined as PSA >50 μg/L alone. Medical chart review was used as the reference standard to establish the presence or absence of metastases. Validity was expressed as a positive predictive value (PPV) or a negative predictive value, based on whether the algorithms correctly classified metastases compared with the reference standard. RESULTS: We identified 113 men with evidence of metastases according to the candidate algorithms, and 99 men without evidence of metastases according to the candidate algorithm. The PPVs of PSA >50 μg/L were 0.10 (95% confidence interval [CI] 0.04–0.19) for bone metastases and 0.14 (95% CI 0.07–0.24) for nonbone metastases, regardless of receipt of antiresorptive therapy or presence of bone scintigraphy. The PPVs for any metastases were 0.16 (95% CI 0.06–0.32) for PSA >50 μg/L and 0.28 (95% CI 0.14–0.47) for PSA >50 μg/L with bone scintigraphy. Adding antiresorptive treatment to the algorithm did not improve PPV. All negative predictive values approached 1.00. CONCLUSION: Algorithms based on elevated PSA, antiresorptive therapy, or bone scintigraphy are not suitable for supplementing diagnostic codes to identify additional cases of distant metastases among men with prostate cancer. However, it is possible that in this setting, medical chart review is not a gold standard to identify metastases.
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spelling pubmed-44013592015-04-24 Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark Ehrenstein, Vera Hernandez, Rohini K Maegbaek, Merete Lund Kahlert, Johnny Nguyen-Nielsen, Mary Nørgaard, Mette Liede, Alexander Clin Epidemiol Methodology OBJECTIVE: Among patients with prostate cancer, diagnostic codes for bone metastases in the Danish National Registry of Patients have a sensitivity of 44%. In an attempt to improve the sensitivity of registry-based identification of metastases from prostate cancer, we tested a series of algorithms, combining elevated prostate-specific antigen (PSA) levels, use of antiresorptive therapy, and performed bone scintigraphy. PATIENTS AND METHODS: We randomly selected 212 men diagnosed with prostate cancer in 2005–2010 in the Central Denmark Region with prespecified PSA values, antiresorptive therapy, and bone scintigraphy who did not have a registry-based diagnostic code indicating presence of distant metastases. We defined three candidate algorithms for bone metastases: 1) PSA >50 μg/L and bone scintigraphy, 2) PSA >50 μg/L and antiresorptive therapy, and 3) PSA ≤50 μg/L with antiresorptive therapy or bone scintigraphy. An algorithm for distant metastasis site other than bone was defined as PSA >50 μg/L alone. Medical chart review was used as the reference standard to establish the presence or absence of metastases. Validity was expressed as a positive predictive value (PPV) or a negative predictive value, based on whether the algorithms correctly classified metastases compared with the reference standard. RESULTS: We identified 113 men with evidence of metastases according to the candidate algorithms, and 99 men without evidence of metastases according to the candidate algorithm. The PPVs of PSA >50 μg/L were 0.10 (95% confidence interval [CI] 0.04–0.19) for bone metastases and 0.14 (95% CI 0.07–0.24) for nonbone metastases, regardless of receipt of antiresorptive therapy or presence of bone scintigraphy. The PPVs for any metastases were 0.16 (95% CI 0.06–0.32) for PSA >50 μg/L and 0.28 (95% CI 0.14–0.47) for PSA >50 μg/L with bone scintigraphy. Adding antiresorptive treatment to the algorithm did not improve PPV. All negative predictive values approached 1.00. CONCLUSION: Algorithms based on elevated PSA, antiresorptive therapy, or bone scintigraphy are not suitable for supplementing diagnostic codes to identify additional cases of distant metastases among men with prostate cancer. However, it is possible that in this setting, medical chart review is not a gold standard to identify metastases. Dove Medical Press 2015-04-10 /pmc/articles/PMC4401359/ /pubmed/25914556 http://dx.doi.org/10.2147/CLEP.S74991 Text en © 2015 Ehrenstein et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Methodology
Ehrenstein, Vera
Hernandez, Rohini K
Maegbaek, Merete Lund
Kahlert, Johnny
Nguyen-Nielsen, Mary
Nørgaard, Mette
Liede, Alexander
Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title_full Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title_fullStr Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title_full_unstemmed Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title_short Validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in Denmark
title_sort validation of algorithms to detect distant metastases in men with prostate cancer using routine registry data in denmark
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401359/
https://www.ncbi.nlm.nih.gov/pubmed/25914556
http://dx.doi.org/10.2147/CLEP.S74991
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