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@JCRideson
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toot? ok, this should be the next big thing. one can never have too many socials to check. Follow back until the first 1k! Tho idk when ill be on.

Twtrhttps://twitter.com/Jai_Cilento
Landing Pghttps://hy.page/jcresdoc94
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WeBohttps://tinyurl.com/y2v67hkz
Would be neat to develop codes (e.g. μαστοδον for mastodon) for the purposes of adding links that evade our censor. Of course they'd have to change constantly, but that would be part of the fun.
Just like olden times!

3/ The study has already been interpreted in the sense that there are 15% more "large responders" in the antidepressant group compared to the placebo group.

But this is wrong.

The solution is found in the appendix of the article, where the cumulative distributions of probability of response for AD and placebo in relation to change from baseline is given.
There you can see that, whatever cut-off you use for "response", the difference to placebo remains small.

1/ Some thoughts on the massive recent FDA patient level meta-analysis by Stone et al. In the analysis of >70,000 patients, the average drug-placebo difference was only 1.75 points on the Hamilton scale. Definitely not clinically significant.
However, the distribution is not normal, thus the average drug-placebo difference may be misleading. Stone et al. provide analyses that may account for this problem. But I and others are skeptical - some more comments will follow...
https://www.bmj.com/content/378/bmj-2021-067606
Response to acute monotherapy for major depressive disorder in randomized, placebo controlled trials submitted to the US Food and Drug Administration: individual participant data analysis

Objectives To characterize individual participant level response distributions to acute monotherapy for major depressive disorder in randomized, placebo controlled trials submitted to the US Food and Drug Administration from 1979 to 2016. Design Individual participant data analysis. Population 232 randomized, double blind, placebo controlled trials of drug monotherapy for major depressive disorder submitted by drug developers to the FDA between 1979 and 2016, comprising 73 388 adult and child participants meeting the inclusion criteria for efficacy studies on antidepressants. Main outcome measures Responses were converted to Hamilton Rating Scale for Depression (HAMD17) equivalent scores where other measures were used to assess efficacy. Multivariable analyses examined the effects of age, sex, baseline severity, and year of the study on improvements in depressive symptoms in the antidepressant and placebo groups. Response distributions were analyzed with finite mixture models. Results The random effects mean difference between drug and placebo favored drug (1.75 points, 95% confidence interval 1.63 to 1.86). Differences between drug and placebo increased significantly (P<0.001) with greater baseline severity. After controlling for participant characteristics at baseline, no trends in treatment effect or placebo response over time were found. The best fitting model of response distributions was three normal distributions, with mean improvements from baseline to end of treatment of 16.0, 8.9, and 1.7 points. These distributions were designated Large, Non-specific, and Minimal responses, respectively. Participants who were treated with a drug were more likely to have a Large response (24.5% v 9.6%) and less likely to have a Minimal response (12.2.% v 21.5%). Conclusions The trimodal response distributions suggests that about 15% of participants have a substantial antidepressant effect beyond a placebo effect in clinical trials, highlighting the need for predictors of meaningful responses specific to drug treatment. No additional data available.

The BMJ
SCIENCE IMMUNOLOGY
1 Nov 2022
First Release
DOI: 10.1126/sciimmunol.add3899

you cant out wait a virus for thousands of yrs, w 95% immunity & not knowing who or when someone is infected (nor outside of seeing pts can you wear any quality mask correctly).

it is performance meets hysteria. ppl are at dif places on the spectrum: but that is the spectrum. _JC

Paul Offit refuses to sell products just for the sake of it. as most do in field, if you ask them directly & dont word the vote in a peculiar way that does not represent how it will be used. _JC
pretending everyone is always infected as well as shedding at all moments all the time is its own type of crazy. _JC
post recovery clinical indications. _JC
wo over screening/coding, it wouldnt even be this close. does anyone honest think that is false? hoonestly? _JC
is climate still an issue or... _JC