New study in The Lancet estimates that more than half of all deaths caused by police violence are not captured in U.S. vital statistics data https://t.co/wzO0FFsrFF
@TerranceMyers @AlexAvi84639466 @rogers_realtor @mikefreemanNFL The more unvaccinated people there are, the more circulating virus there is, which makes it more likely for people with weak immune systems (such as the elderly, people with cancer, etc.) to catch the virus.
That was an outright lie about swine flu. Back in 2009, 1 million Americans were tested for H1N1 in the first month after the first American was diagnosed case.
(in comparison, the first US case of #covid19 was diagnosed 50+ days ago and only ~10,000 people have been tested.)
I wrote a blog post about uMETHOD, a health analytics company that, despite a lack of good clinical evidence, has implemented an algorithm for helping slow cognitive decline in patients at risk for Alzheimer's Disease. https://t.co/ED29OcMka4
This is why it's so important that we work on innovations that allow physicians to spend more time counseling patients and less time writing notes and gathering histories.
—"Is healthcare structured to give patients the information they need to make informed decisions?"—@DReuland@NPR @gordonmara1
—No. Besides the points here, patients aren't given the information on radiation exposure (mSv or CXR equivalents).
https://t.co/ZIgYaZpglL
@sum_dude44 @chromosomeOMICS @VinayPrasadMD Although re: residencies achieved from top vs. average med schools, compare the match list from NYU and other top schools vs. average schools; top MD schools disproportionately send larger % of students to big-name programs.
@sum_dude44 @chromosomeOMICS @VinayPrasadMD I think the point was not regarding which residencies people end up at, but who benefits from free tuition. If one agrees w/assumption that wealthier students end up at top MD (d/t training at top undergrads), then students from wealthy backgrounds disproportionately benefit.
@VinayPrasadMD I understand that based on these data pan-screening appears to do more harm than good; but what about the ~67k reduction in late-stage diagnoses? Are there any stratifying characteristics we can use to determine which patients are most likely to benefit from screening?