Purpose: Little is known about the effects of literacy levels on prostate cancer screening. This study evaluates the association between literacy, compliance with screening, and biopsy findings in a large Brazilian screening study.
Materials And Methods: We analyzed 17,571 men screened for PCa with digital rectal examination (DRE) and total and free prostate-specific antigen (PSA) from January 2004 to December 2007. Of those, 17,558 men had information regarding literate status. Full urological evaluation in a specialized cancer center was recommended in the case of: a) suspicious DRE, b) PSA > 4.0 ng/mL, or c) PSA 2.5-3.9 ng/mL and free/total PSA (f/tPSA) ratio 15%. Transrectal ultrasound guided prostate biopsy (14 cores) was performed upon confirmation of these findings after the patient's consent. Patients' compliance with screening recommendations and biopsy results were evaluated according to literacy levels.
Results: an abnormal PSA, a suspicious DRE, or both were present in 73.2%, 19.7%, and 7.1% of those men who underwent biopsy, respectively. PCa was diagnosed in 652 men (3.7%). Previous PSAs or DREs were less common among illiterate men (p < 0.0001). Additionally, illiterate men were less prone to attend to further evaluations due to an abnormal PSA or DRE (p < 0.0001). PSA levels > 10 mg/mL (p = 0.03), clinical stage > T2a (p = 0.005), and biopsy Gleason > 7 (p = 0.02) were more common among illiterate men.
Conclusions: In a screened population, literacy levels were associated with prior PCa evaluations and with compliance with screening protocols. Illiterate men were at higher risk of being diagnosed with more advanced and aggressive PCa.
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http://dx.doi.org/10.1590/S1677-5538.IBJU.2013.03.05 | DOI Listing |
J Med Case Rep
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December 2024
Institute for Systems and Computer Engineering Technology and Science (INESC-TEC), Porto, 4200-465, Portugal.
An automatic system for pathology classification in chest X-ray scans needs more than predictive performance, since providing explanations is deemed essential for fostering end-user trust, improving decision-making, and regulatory compliance. CLARE-XR is a novel methodology that, when presented with an X-ray image, identifies the associated pathologies and provides explanations based on the presentation of similar cases. The diagnosis is achieved using a regression model that maps an image into a 2D latent space containing the reference coordinates of all findings.
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School of Preclinical Medicine, Wannan Medical College, Wuhu, 241002, China.
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Laboratório de Biologia de Tripanosomatídeos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
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