Ankle joint is undertrained in a single joint means in both the frontal plane & in dorsiflexion 2 prevent lateral ankle sprains and shin splints. Single joint exercises allows you to evaluate the joint actions ROM & strength to understand injury risk & where development is needed

All Women are at risk of getting Cervical Cancer. It often affect women over age 30.

Long-lasting infection with certain types of human papillomavirus (HPV) are the main cause of cervical cancer.

HPV is a virus that is passed from one person to another during sex.

A Thread 🚺

More than half of sexually active people might have HPV at some point in their lives, but few women will get CERVICAL CANCER.

Early Screening tests & the HPV vaccine can help prevent cervical cancer.

When cervical cancer is diagnosed early, it is highly treatable &....

2/cont.

associated with long survival and good quality of life.

Most (almost all) cervical cancers are caused by HPV.

There are many types of HPV.
Some HPV types can cause changes on a woman’s CERVIX that can lead to cervical cancer as time goes on, WHILE other types can cause genital

or skin WARTS . HPV is so common that most people get it at some time in their lives.

HPV usually causes no symptoms so you can’t tell that you have it. For most women, HPV might be SELF LIMITING (ie it will go away on its own); However, if it doesn't, there are a chances that

over time it may result to cervical cancer.

OTHER FACTORS CAN INCREASE YOUR RISK of CERVICAL CANCER —
•Having HIV/AIDS
•Smoking.
•Using Oral contraceptives (birth control pills) for a long time (5+ years)
•Having birth to many children (4+ yrs).
•Having many sexual partners

Eight years ago, Spencer Cox died of #AIDS. He had access to #antiretroviral therapy, but in his own struggles with #depression and substance use, he stopped taking them. 1/

Spencer left college, dropped out like me in the 80s, and we both found ourselves in @actupny where we joined the Treatment and Data Committee, doing battle with drug companies, the @US_FDA, the @NIH on a quest to save ourselves and our friends from near-certain death. 2/

Now everyone knows what those dark days before the advent of antiretroviral therapy were like. Waves upon waves of dying friends. A government who couldn't care less for the sick and dying. 3/

All this has happened before, and all this will happen again. AIDS. #COVID19. The next pandemic. The fire next time. 4/

And it changes you. Seeing so much death so young. Seeing those in power turn away from the catastrophe, even joke about it (find, listen to the tape of Larry Speakes in Oval Office w Reagan laughing about AIDS). 5/

This one is for the real stats folks.

Let's deal with some objections to the deaths after flu vax/deaths after Covid vax comparison.

1) I agree Covid vaccine deaths are probably more likely to be reported than flu vaccine deaths. Are they 900 times more likely? Very doubtful...

2) Here's one good reason to think the gap may be small. The ratio of non-serious to serious Vaers reports is far HIGHER for the flu vax than for Covid. In other words, people have basically STOPPED filing non-serious event reports after Covid shots, because they are so common...

3) If people were clogging VAERS with Covid vaccine side effects reports because they are so sensitized to them, we'd see the opposite - tons of reports in every category. We aren't, though.

4) Children aside (and children do receive a lot of flu shots), the idea that the Covid vaccine is going to a meaningfully different population than the flu vaccine is nonsense. Flu campaigns are targeted at the elderly and healthcare workers, just like the Covid vaccine...

5) The correct area under the curve at risk post-Covid vaccinations is not 41 million doses x 8 weeks of followup. It's more like 41 million doses x 3 days. READ THE VAERS REPORTS YOURSELF. I have. The "he was hit by a bus a week after being vaccinated" isn't what's in there...

"Public health" isn't just about vaccinations, clinics and urgent care: it's a holistic discipline that encompasses all the contributors to health outcomes, which include things like housing, employment, transportation, pollution and more.

1/

A new working paper from @nberpubs estimates the number of US covid deaths that could have been prevented with a coherent, effective eviction moratorium and a ban on utility cutoffs:

The paper, written by a multidisciplinary group of Duke researchers from medicine and economics, found that housing precarity (a risk of losing your home) drove risky behavior that increased the spread of the disease and the resulting deaths.

3/

For example, it forced people to double-up on lodgings, making social distancing impossible, to say nothing of self-isolating after an exposure. It also drove people to tolerate high-risk workplace conditions, including illegal conditions.

4/

The authors used regression techniques to control for confounding variables, and used like-for-like counties with different utility and eviction policies to estimate the effect that these had on infection rates.

5/

It's Monday AM post-@ASCO #GU21 & clinic starts in a couple of hours! Lots to process - I'll try to tackle optimal 1L tx for #kidneycancer. I'll make a case for cabo/nivo, leaning on the beautiful (& timely) tables below from @lalaniMD, @SoaresAndrey & @brian_rini (1/15)

What about IO/IO? We have long f/u w #CM214 data w nivo/ipi, no doubt (@AlbigesL et al in @myESMO Open). And treatment-free interval discussed by McDermott @BIDMChealth is no doubt impt. But we've known data not as impressive for favorable risk (2/15)

And furthermore, as @ERPlimackMD points out in another tweet, impt to look at primary PD rates (seen in @lalaniMD's table) - nivo/ipi at 19%!!! CR rate used to be something we highlighted w nivo/ipi, but now comparable across studies (3/15)

Okay now to the really tough stuff - comparing TKI/IO regimens. Something interesting I will add to @brian_rini @uromigos table above is the HR for PFS by INVESTIGATOR review. If the diff in HR for PFS by IND review caught your eye, this is even more striking (4/15)

I think INV-assessed PFS is impt, but if you're a skeptic, forget that argument. Turn instead to #QOL with axi/pembro. Kudos to @brian_rini @tompowles1 @ERPlimackMD et al for advocating for QOL in KN-426. @crisbergerot et al have taughts us the importance of these metrics. (5/15)