Prostate Cancer Screening Predictors Among Riyadh Primary Care Patients
by Saad Alshahrani·Updated 3mo ago
260.5 KB2files
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Description
From March to July 2023, a cross-sectional study of 6,177 men attending 48 primary healthcare centers in Riyadh, Saudi Arabia, investigated predictors of prostate cancer screening. The dataset includes participant demographics and health factors, with only 1.5% reporting previous screening. The study was authored by Saad Alshahrani and identifies age, employment, insurance, smoking, and heart disease history as significant predictors.
Use Cases
Model the relationship between age groups (under 50, 50–75, 75+) and the binary outcome of previous prostate cancer screening using logistic regression.
Analyze how predictors like unemployment status, health insurance coverage, and smoking history correlate with screening uptake.
Investigate the association between a history of heart disease and the likelihood of having undergone prostate cancer screening.
Examine the crude proportions of screening (0.9%, 1.7%, 1.3%) across different age cohorts to understand baseline prevalence.
Strengths
Large sample size of 6,177 participants from 48 primary healthcare centers.
Study conducted over a defined 5-month period from March to July 2023.
Analysis provides adjusted odds ratios (AORs) with confidence intervals for identified predictors.
Limitations
Dataset is very small (260.5 KB), likely containing only summary results and analysis, not raw individual-level data.
Findings are geographically limited to men attending primary care centers in Riyadh, Saudi Arabia.
Extremely low event rate (1.5% screening prevalence) may limit statistical power for some predictive analyses.
Provenance
Source
figshare
Collection Method
Cross-sectional study using multistage cluster sampling of men attending primary healthcare centers.
Time Range
March to July 2023
Freshness
null
Geography
Riyadh, Saudi Arabia
Files are in DOCX and PDF formats, containing study manuscripts and results; raw tabular data or column definitions are not provided. License is CC BY 4.0.