In 1994, the United States approved the Prostate-Specific Antigen (PSA) test as a screening tool for prostate cancer. It did so despite the test's inherent weakness: not being prostate cancer specific. Subsequent randomized trials yielded conflicting results as to its benefits. Medical guideline organizations are concerned that PSA screening results in the diagnosis and treatment of clinically indolent prostate cancer. Nevertheless, PSA screening is prevalent in North America and Europe with PSA screening increasing in other regions. We provide a critical review of the major factors that led to the prevalence of PSA screening in the United States despite the debate about its benefits. Public advocacy in favor of the test and failure of the medical community to appreciate its inherent weakness led to widespread adoption. These factors persist today. Other countries need to carefully analyze the utility of the PSA test before adopting it.
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http://dx.doi.org/10.1057/s41271-024-00502-4 | DOI Listing |
BMJ Evid Based Med
December 2024
Department of Public Health, History of Science, and Gynecology, Miguel Hernandez University of Elche Faculty of Medicine, Sant Joan D'Alacant, Comunidad Valenciana, Spain
Objective: The objective of this study is to analyse the perspectives of screening candidates and healthcare professionals on shared decision-making (SDM) in prostate cancer (PCa) screening using the prostate-specific antigen (PSA) test.
Design: Descriptive qualitative study (May-December 2022): six face-to-face focus groups and four semistructured interviews were conducted, transcribed verbatim and thematically analysed using ATLAS.ti software.
Background: The Prostatype score (P-score) is a prognostic biomarker that integrates a three-gene (IGFBP3, F3, and VGLL3) signature derived from prostate biopsy samples, with key clinical parameters, including prostate-specific antigen (PSA) levels, Gleason grade, and tumor stage at diagnosis. The test has demonstrated superior predictive accuracy for prostate cancer outcomes compared with traditional risk categorization systems such as D'Amico. Notably, it reclassifies a higher proportion of patients into the low-risk category, making them eligible for active surveillance.
View Article and Find Full Text PDFCurr Rheumatol Rep
January 2025
Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Purpose Of Review: Psoriatic arthritis (PsA) is a complex heterogeneous inflammatory disease that affects about one-third of patients with psoriasis. PsA leads to significant physical impairment and reduced quality of life. Therefore, early diagnosis and intervention are critical for improving long-term outcomes.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Department of Electrical, Electronics and Communication Engineering, Indian Institute of Technology Dharwad, Karnataka - 580011, India.
Prostate cancer antigen 3 (PCA3) has emerged as a critical biomarker for the early detection of prostate cancer, complementing the traditional prostate-specific antigen (PSA) testing. This research presents a novel resistive sensor based on reduced graphene oxide (RGO) functionalized with glutaraldehyde (GA)/complementary single-stranded DNA (ss-DNA) for the detection of the PCA3 RNA. The device was meticulously characterized at each fabrication step to confirm the successful integration of the various layers on the sensor device, utilizing atomic force microscopy (AFM) which confirmed the increase in the thickness of the sensor from ∼1.
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