The hottest Cancer Screening Substack posts right now

A systematic review showed A.I. significantly boosts detection of precancerous polyps in colonoscopies.
Integration of A.I. in medical procedures like colonoscopies requires caution to avoid automation bias.
Physicians must serve as clinical champions to educate and integrate A.I. technology in hospitals.

Statins are effective for women in reducing cardiovascular disease risk.
Statin side effects are not as common as believed; most often, it's due to the 'nocebo effect'.
Regular ovarian cancer screening methods like ultrasounds and CA-125 tests are not very effective; focus should be on preventive strategies like oral contraception.

New US guidelines recommend starting colon cancer screening at age 45 for average-risk individuals.
There are three main methods for colon cancer screening in the US: FIT, sDNA-FIT, and colonoscopy.
Offering multiple screening methods increases screening rates and allows people to choose the test they prefer.

Clinical sequencing market is surpassing research in sequencing.
Oncology is the largest clinical market, with a significant revenue.
Companies like Exact Sciences are prominent players in precision oncology testing.

Sensitivity and specificity are important for medical tests, but they don’t tell the whole story. While sensitivity checks for illness, specificity avoids falsely alarming healthy people, but we also need to consider how trustworthy those positive results are.
Positive Predictive Value (PPV) is crucial because it determines how many positive test results are actually true. Even tests that seem great on paper can lead to many false alarms if the condition is rare in the tested population.
New standards are needed for screening tests, especially since broad screening is becoming more common. Tests should not just catch many cases, but also provide real accuracy, avoiding unnecessary stress and procedures for patients.

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