Mohamed Abdelhady’s Post

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"I try to simplify Epidemiology concepts using R and Shiny.

🌟#EpiTales # 31🌟 🔲 Do antimuscarinic medications cause cancer? Protopathic Bias?🔲 Mohamed: "Dr. X, I came across a study linking medications for overactive bladder to an increased risk of cancer. How could that be?" Dr. X: "Ah, Mohamed, this might be a case of Protopathic Bias! It's when early symptoms of a disease are mistaken for risk factors. Let's look at a real publication to understand it better." Mohamed: "I'm intrigued! What's the example?" Dr. X: "In a study by Kaye et al. (2017), researchers investigated cancer incidence among patients using antimuscarinic medications for overactive bladder. They found that the incidence rates of prostate and bladder cancer were significantly higher in the first year after starting the medication." Mohamed: "So, the medications were thought to cause cancer?" Dr. X: "Initially, yes. But further analysis revealed that these patients' urinary symptoms, which prompted the prescription of antimuscarinic medications, were actually early signs of undiagnosed cancers. The medications didn't cause cancer; the early symptoms did." Mohamed: "Wow! So, the early symptoms were mistaken for risk factors. That's Protopathic Bias in action!" Dr. X: "Exactly, Mohamed! Here's the data: In the first year, the incidence rate of prostate cancer was 14.2 per 1000 person-years, which dropped to 6.8 per 1000 person-years in the second year. Similarly, bladder cancer incidence rates were higher in the first year at 5.5 for men and 1.2 for women per 1000 person-years, decreasing markedly thereafter." Mohamed: "That's fascinating! It shows how important it is to consider the timeline of symptom onset and treatment." Dr. X: "Indeed, Mohamed! Always consider the timeline of symptoms and treatments to avoid Protopathic Bias. 📅" ------------------------------------------------------------------------------------ "I share daily insights on Epidemiology. Follow my #EpiTales for engaging stories, #EpiTools for practical Shiny apps, and #EpiNews for the latest updates!"

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