@YoDoctorYo · 13h
https://twitter.com/YoDoctorYo
https://www.washingtonpost.com/health/covid-variant-contagious-spread/2021/01/06/73a1b716-4fc2-11eb-83e3-322644d82356_story.html
Here is something WaPo needs to be more clear about in their reporting.
Monoclonal antibodies that target #COVID19 virus are susceptible to mutations.
Monoclonal antibodies that act as immunomodulators won't be affected by mutations.
@YoDoctorYo · 2h https://twitter.com/YoDoctorYo/status/1347294750953521152
Watch Now: https://www.youtube.com/watch?v=yiveL1kNyCo
In this video, I am discussing not only when to take medications that can benefit you in COVID 19, but also how- I explain the eIND and expanded use process for RLF 100 and Leronlimab also with all the phases on when to take Ivermectin.
I was technically correct, but meant that we would close under $5. I guess I am happy?Predictions for tomorrow? I say we drop below $5.
I think so, it weathered another storm.I was technically correct, but meant that we would close under $5. I guess I am happy?
Some banter about early 10-Q filing. InterestingWhy did Nader Pourhassan and Michael Mulhulland wake up early (or stay up past midnight) to sign the 10-Q? Note that their signatures are dated today (January 8, 2021). Is there a reason they needed it filed PREMARKET on a Friday? Sense something is up. Maybe wanted to forward the 10Q to NASDAQ this morning so NASDAQ could review it today? The timing of the signatures makes me wonder.
Yeah and just counting the deaths from each arm would be quick. Regardless of having all the data analyzed and ready for presentation they should know if they beat placebo on deaths right away. There will be a period where the hospitals have to certify the data and I don't know how long that is but beyond that the primary endpoint should be clear.Jam 12 is data unblinding? So we have a week....2 weeks max. Before this is all over?
If the SoC is anywhere close to 36% in the CD12 trial, then this stock absolutely moons.Looks like the death rate for standard of care in the tocilzumab and sarilumab trials was around 36%
https://www.nytimes.com/2021/01/08/health/covid-arthritis-drugs-reduced-deaths.html
The findings in a new paper show that treatment regimens involving the drugs tocilizumab or sarilumab reduced the death rate among Covid patients in intensive care to about 27 percent, compared with 36 percent among patients who did not receive the drugs. Based on these results, about one death would be prevented for every 12 I.C.U. patients treated early with these drugs. All of the patients in the trial received the drugs within 24 hours of entering intensive care.
https://www.medrxiv.org/content/10.1101/2021.01.07.21249390v1
It should be noted that all of the patients in those trials were in the intensive care unit so death rate would be higherIf the SoC is anywhere close to 36% in the CD12 trial, then this stock absolutely moons.
Yeah, I don't believe severe is in intensive care, at least not all. Trying to verify that but that's my understanding.Does "intensive care" include both severe and critical?
If that happens and the LL arm has fewer deaths than the placebo arm @chet will be a very rich man. If this stock can get to the Nasdaq.first it would be awesomeChaz McNulty said:If the SoC is anywhere close to 36% in the CD12 trial, then this stock absolutely moons.
I believe severe critical are patients requiring supplement oxygen only. This was a huge disconnect for me as a health care provider.Don Hutson said:Does "intensive care" include both severe and critical?
I'm optimistic because management cannot get in the way of the trial results. Science will speak when they unblind the data. It either works or it doesn't. At this point I really like the odds of them hitting their primary endpoint.If that happens and the LL arm has fewer deaths than the placebo arm @chet will be a very rich man. If this stock can get to the Nasdaq.first it would be awesome
I'm still confused. Are you saying that severe is bad, critical is really bad, and intensive care is really, really bad?I believe severe critical are patients requiring supplement oxygen only. This was a huge disconnect for me as a health care provider.
So "severe" is just your typical med-surg level patient. Basically anyone requiring hospitalization. Critical is what what you would traditionally see in the ICU.A. Severe Illness:
- Diagnosed with COVID-19 by standard RT-PCR assay or equivalent testing within 5 days of screening
AND
Symptoms of severe systemic illness/infection with COVID-19:
- At least 1 of the following: fever, cough, sore throat, malaise, headache, muscle pain, shortness of breath at rest or with exertion, confusion, or symptoms of severe lower respiratory symptoms including dyspnea at rest or respiratory distress
AND
Clinical signs indicative of severe systemic illness/infection with COVID-19, with at least 1 of the following:
- RR ≥ 30, HR ≥ 125, SaO2 <93% on room air or requires > 2L oxygen by NC in order maintain SaO2 ≥93%, PaO2/FiO2 <300
AND
- None of the following: Respiratory failure (defined by endotracheal intubation and mechanical ventilation, oxygen delivered by high-flow nasal cannula, noninvasive positive pressure ventilation, or clinical diagnosis of respiratory failure in setting of resource limitations), Septic shock (defined by SBP < 90 mm Hg, or Diastolic BP < 60 mm Hg), Multiple organ dysfunction/failure
From my limited understanding, most of critical would be in ICU, and some of severe would be in ICU.I'm still confused. Are you saying that severe is bad, critical is really bad, and intensive care is really, really bad?
All of severe would just be regular medsurg level patients. Even some of critical "high flow oxygen" could be handled on med-surg level.From my limited understanding, most of critical would be in ICU, and some of severe would be in ICU.
This seems possible, but perhaps a little higher than you would expect. We are in close to toss up territory if true.then it would take 12% of the placebo severe patients to pass to get the overall placebo mortality rate of 28%.
Hospitals have to sign off on results. Deaths have to at least be analyzed to get the correct cause of death. I don't think it will be Tuesday.So Tuesday is the make or break day? Before or after market?
I doubt it will be the following week. Thinking week of Jan 25.Hospitals have to sign off on results. Deaths have to at least be analyzed to get the correct cause of death. I don't think it will be Tuesday.
I'd guess we should know the following week on the primary endpoint.
edit again as I can't read the calendar.I doubt it will be the following week. Thinking week of Jan 25.
Also, CYDY needs to realize that there's a PR game to be played here. Regardless of p-value, BP would be all over the media if the trial results in lower mortality. Those are valuable headlines.
No doubt. Considering the garbage PR they usually put out, if they skip this it’s another dramatic error.I doubt it will be the following week. Thinking week of Jan 25.
Also, CYDY needs to realize that there's a PR game to be played here. Regardless of p-value, BP would be all over the media if the trial results in lower mortality. Those are valuable headlines.
The PR was the 15th and I don't think it's even clear that it was the actual date, perhaps could have been a day or two earlier evenWhere did we get the 1/12 date for the unblinding from? I thought the PR was on the 12/21 so wouldn't that be the 16th (+28 days)?
There doesn't seem to be any verification of the 1/12 date. It is solely based on adding 28 days onto the pr that said the trial was completely enrolled. That pr didn't say when it became completely enrolled so it could have happened a few days earlier. It also didn't say that all enrollees had gotten their first shot. The 28 day clock doesn't start until the last enrollee gets their first shot. So the clock could start a few days after 1/12.Where did we get the 1/12 date for the unblinding from? I thought the PR was on the 12/21 so wouldn't that be the 16th (+28 days)?
Cool. Can’t wait to see the spinning globe and breaking news music.I doubt it will be the following week. Thinking week of Jan 25.
Also, CYDY needs to realize that there's a PR game to be played here. Regardless of p-value, BP would be all over the media if the trial results in lower mortality. Those are valuable headlines.
I believe Cytodyn will have the results at this point. The only reason not to release them would be if they were really bad. Your scenario above would have the same affect on stock price as a phase 3 fail.If the FDA doesn't grant an EUA but instead asks for the trial to enroll another 393 patients, will we find out the results of the first 393 patients? I'm going to be really frustrated if I don't find out the mortality rates of the treatment and placebo arms. I don't own one share of CYDY. But I want results divulged!
Doesn't NP have a bunch of other countries lined up? To be honest, I have no idea if he really does but he would have to publicly unblind results to sell to other countries.If the FDA doesn't grant an EUA but instead asks for the trial to enroll another 393 patients, will we find out the results of the first 393 patients? I'm going to be really frustrated if I don't find out the mortality rates of the treatment and placebo arms. I don't own one share of CYDY. But I want results divulged!
Agree with thisI believe Cytodyn will have the results at this point. The only reason not to release them would be if they were really bad. Your scenario above would have the same affect on stock price as a phase 3 fail.
I went back and using the 18% mortality rate from this tweet we get 23 control deaths and 64 LL deaths and we get a p-value of 0.156. So obviously the shorts picked studies that wouldn't meet statistical significance.Take it for what it's worth given the source (I haven't went and actually looked at the studies), but here's some info on mortality: tweet 1 | tweet 2. Just presenting info to be considered, not trying to make anyone grumpy - no position at this point.
My personal stance here is I will forever be grateful to @chet for the call here, made a bunch of loot - but I have come to believe, in general, management matters. I also believe mortality as the primary endpoint makes this tough and maybe not great risk/reward going in to unblinding. If the data isn't great with the company is already valued at ~$3.5 billion dollars there is a lot of room to fall. I think we can get lost in the stock price sometimes and forget what it extrapolates to. For example, $HGEN has an $850M market cap a 4x difference (and I believe a generally higher chance of getting approval given how the studies have been setup. See: importance of management).
I get just barely over at p value of 0.053.37/130 in placebo is 28%.
50/260 in LL is 19%.
I think this gets us to statistical significance. I didn't calculate this, but just repeating what I heard.
It's a slim window but it's a window that could work. A result of 28% placebo/19% treatment would be phenomenal. And it works with the numbers we have been given. Also, a 26% placebo/20% treatment, 24% placebo/21% treatment, and a 22% placebo/22% treatment all work with the numbers we have, too.Definitely looks like a slim window.
The calculator I was using showed that 28% is just barely above the 0.05 level of significance. Does 0.1 level get FDA approval?It's a slim window but it's a window that could work. A result of 28% placebo/19% treatment would be phenomenal. And it works with the numbers we have been given. Also, a 26% placebo/20% treatment, 24% placebo/21% treatment, and a 22% placebo/22% treatment all work with the numbers we have, too.
Assuming your calc is correct (i used the Wolfram calc to get a p-value of .0236 for similar numbers), this is what BP would use as a marketing opportunity. CD12 results in a significant reduction in mortality but the result is not quite statistically significant. There's nothing competing in this slot and the world would benefit from leronlimab being approved.I went back and using the 18% mortality rate from this tweet we get 23 control deaths and 64 LL deaths and we get a p-value of 0.156. So obviously the shorts picked studies that wouldn't meet statistical significance.
I get just barely over at p value of 0.053.
I used THIS calculator for both values. So if 87 is the final death number we have to hope the control group mortality is at 30% vs 18%. Also any extra deaths likely decreases the chances of LL having statistical significance.
Definitely looks like a slim window.
I don't know why your site produces such a different number than the Wolfram calculator. Anyone qualified to explain?I went back and using the 18% mortality rate from this tweet we get 23 control deaths and 64 LL deaths and we get a p-value of 0.156. So obviously the shorts picked studies that wouldn't meet statistical significance.
I get just barely over at p value of 0.053.
I used THIS calculator for both values. So if 87 is the final death number we have to hope the control group mortality is at 30% vs 18%. Also any extra deaths likely decreases the chances of LL having statistical significance.
Definitely looks like a slim window.
Can you please elaborate on why you know the drug works?Assuming your calc is correct (i used the Wolfram calc to get a p-value of .0236 for similar numbers), this is what BP would use as a marketing opportunity. CD12 results in a significant reduction in mortality but the result is not quite statistically significant. There's nothing competing in this slot and the world would benefit from leronlimab being approved.
Personally, I see two outcomes as being overwhelmingly more likely than others:
1) CD12 shows leronlimab sig reduces mortality in a statistically sig way; and
2) CD12 show leronlimab sig reduces mortality but p-value is above .05.
I know the drug works but is NP capable of designing a trial to showcase the drug's capability.