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A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0

OBJECTIVES: To investigate the association between lower urinary-tract infections, their associated antibiotics and the subsequent risk of developing PCa. SUBJECTS/PATIENTS (OR MATERIALS) AND METHODS: Using data from the Swedish PCBaSe 3.0, we performed a matched case-control study (8762 cases and 4...

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Autores principales: Russell, Beth, Garmo, Hans, Beckmann, Kerri, Stattin, Pär, Adolfsson, Jan, Van Hemelrijck, Mieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896993/
https://www.ncbi.nlm.nih.gov/pubmed/29649268
http://dx.doi.org/10.1371/journal.pone.0195690
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author Russell, Beth
Garmo, Hans
Beckmann, Kerri
Stattin, Pär
Adolfsson, Jan
Van Hemelrijck, Mieke
author_facet Russell, Beth
Garmo, Hans
Beckmann, Kerri
Stattin, Pär
Adolfsson, Jan
Van Hemelrijck, Mieke
author_sort Russell, Beth
collection PubMed
description OBJECTIVES: To investigate the association between lower urinary-tract infections, their associated antibiotics and the subsequent risk of developing PCa. SUBJECTS/PATIENTS (OR MATERIALS) AND METHODS: Using data from the Swedish PCBaSe 3.0, we performed a matched case-control study (8762 cases and 43806 controls). Conditional logistic regression analysis was used to assess the association between lower urinary-tract infections, related antibiotics and PCa, whilst adjusting for civil status, education, Charlson Comorbidity Index and time between lower urinary-tract infection and PCa diagnosis. RESULTS: It was found that lower urinary-tract infections did not affect PCa risk, however, having a lower urinary-tract infection or a first antibiotic prescription 6–12 months before PCa were both associated with an increased risk of PCa (OR: 1.50, 95% CI: 1.23–1.82 and 1.96, 1.71–2.25, respectively), as compared to men without lower urinary-tract infections. Compared to men with no prescriptions for antibiotics, men who were prescribed ≥10 antibiotics, were 15% less likely to develop PCa (OR: 0.85, 95% CI: 0.78–0.91). CONCLUSION: PCa was not found to be associated with diagnosis of a urinary-tract infection or frequency, but was positively associated with short time since diagnoses of lower urinary-tract infection or receiving prescriptions for antibiotics. These observations can likely be explained by detection bias, which highlights the importance of data on the diagnostic work-up when studying potential risk factors for PCa.
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spelling pubmed-58969932018-05-04 A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0 Russell, Beth Garmo, Hans Beckmann, Kerri Stattin, Pär Adolfsson, Jan Van Hemelrijck, Mieke PLoS One Research Article OBJECTIVES: To investigate the association between lower urinary-tract infections, their associated antibiotics and the subsequent risk of developing PCa. SUBJECTS/PATIENTS (OR MATERIALS) AND METHODS: Using data from the Swedish PCBaSe 3.0, we performed a matched case-control study (8762 cases and 43806 controls). Conditional logistic regression analysis was used to assess the association between lower urinary-tract infections, related antibiotics and PCa, whilst adjusting for civil status, education, Charlson Comorbidity Index and time between lower urinary-tract infection and PCa diagnosis. RESULTS: It was found that lower urinary-tract infections did not affect PCa risk, however, having a lower urinary-tract infection or a first antibiotic prescription 6–12 months before PCa were both associated with an increased risk of PCa (OR: 1.50, 95% CI: 1.23–1.82 and 1.96, 1.71–2.25, respectively), as compared to men without lower urinary-tract infections. Compared to men with no prescriptions for antibiotics, men who were prescribed ≥10 antibiotics, were 15% less likely to develop PCa (OR: 0.85, 95% CI: 0.78–0.91). CONCLUSION: PCa was not found to be associated with diagnosis of a urinary-tract infection or frequency, but was positively associated with short time since diagnoses of lower urinary-tract infection or receiving prescriptions for antibiotics. These observations can likely be explained by detection bias, which highlights the importance of data on the diagnostic work-up when studying potential risk factors for PCa. Public Library of Science 2018-04-12 /pmc/articles/PMC5896993/ /pubmed/29649268 http://dx.doi.org/10.1371/journal.pone.0195690 Text en © 2018 Russell et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Russell, Beth
Garmo, Hans
Beckmann, Kerri
Stattin, Pär
Adolfsson, Jan
Van Hemelrijck, Mieke
A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title_full A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title_fullStr A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title_full_unstemmed A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title_short A case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using PCBaSe 3.0
title_sort case-control study of lower urinary-tract infections, associated antibiotics and the risk of developing prostate cancer using pcbase 3.0
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896993/
https://www.ncbi.nlm.nih.gov/pubmed/29649268
http://dx.doi.org/10.1371/journal.pone.0195690
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