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Disorders of the Male Reproductive System

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Men's health issues are increasingly recognized as significant, with several conditions posing common threats. Among these, testicular cancer is especially prevalent in younger men, particularly those aged 20 to 35 years. The disease often manifests as a painless mass in the testicles, sometimes accompanied by a sensation of heaviness or a dull ache.
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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

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Primary Care Prostate Cancer Case Ascertainment.

Agnieszka Lemanska^1,2, Sara Faithfull², Harshana Liyanage³

¹Data Science Department, National Physical Laboratory, Teddington, UK.

Studies in Health Technology and Informatics

|June 24, 2020

Summary

This study developed a method to identify prostate cancer cases using primary care data. Comprehensive clinical code lists improved case identification, enhancing real-world evidence for healthcare research.

Keywords:

Prostate cancer case identification primary care real-world evidence

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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

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Published on: November 2, 2013

Area of Science:

Epidemiology
Health Informatics
Oncology

Background:

Routine healthcare data are valuable real-world evidence for improving healthcare.
Utilizing primary care databases for research presents opportunities and challenges in data extraction.
Accurate identification of specific conditions, like prostate cancer, is crucial for epidemiological studies.

Purpose of the Study:

To present and evaluate a method for identifying prostate cancer cases within a large English primary care database.
To assess the utility of specific diagnostic and grading codes for enhancing case ascertainment.
To highlight the importance of transparent and reproducible methods for code selection in research.

Main Methods:

A retrospective analysis of a large English primary care database was conducted.
Prostate cancer cases were identified using a comprehensive list of diagnostic clinical codes.
Additional cases were identified using codes for Gleason grading (medium and high).

Main Results:

19,619 (1.3%) men were identified with a prostate cancer diagnosis code.
An additional 94 (0.5%) cases were identified using Gleason grading codes.
Variability in reported codes across studies can impede research reproducibility.

Conclusions:

Comprehensive lists of clinical codes can effectively identify prostate cancer cases in primary care data.
Methods relying solely on clinical codes may miss cases; complementary approaches like ontologies or data linkage should be considered.
Standardized and transparent reporting of code sets is essential for validating and reproducing epidemiological research.