Folks, we need to talk about this Vitamin D trial. I have no stake in this game - take Vitamin D if you want but this pre-print is super sus. (THREAD)
papers.ssrn.com/sol3/papers.cf…
The paper is presented as a randomized trial of vitamin D supplementation in hospitalized patients with COVID. Interesting and important question! And the results appear dramatic: Image
If true, this would be one of (if not THE most) effective treatments for COVID. But there are problems...
The first clue something is up is that the randomized groups aren't the same size: Image
It took me a while to figure out why this was, then I saw in the text that INDIVIDUALS were not randomized, WARDS in the hospital were. Image
OK - 8 wards, 5 randomized to Vitamin D, 3 to usual care. (Why not 4 and 4?? - but whatever). So this is actually a CLUSTER-randomized trial. That means you need to use CLUSTERED statistics to analyze it. They do not. Image
This is a big problem. But there is more. It seems that, even if the wards were randomized, the PATIENTS weren't randomized to the wards.
In other words, some hospital wards take different patients than others (different risk factors, etc). This is why we see this really weird finding in Table 1: Image
Baseline vitamin D levels dramatically lower in the "non-treated" group. Why? Preseumaby because different types of people got admitted to the wards than were randomized to usual care.
You'd expect people with low levels of Vitamin D to do worse - that has been shown multiple times - perhaps because higher Vitamin D levels are associated with less comorbidities.
Here's their Kaplan-Meier curve. It doesn't make sense. What do they mean by 'cumulative hazard' of mortality? What units are these? The overall mortality was 10% by their report. Image
I get frustrated with peer-review too, but this is why it's so important. This is super basic stuff - you don't call your study a randomized trial when it's a cluster randomized trial. And peer-reviewers would 100% have asked them to go back and redo the stats.
The authors could solve this, btw, by releasing a de-identified dataset (including the ward number) for this study. We could analyze it in about an hour at least for topline results using appropriate stats.
And again, is there harm from Vitamin D? Minimal honestly. The harm from promotion of studies like this is tweets like this that try to dissuade people from getting vaccinated and doing other protective measures.
So please, read skeptically. Pre-prints have been a boon in COVID times but this study is just... not well done. Be aware. (/END)
UPDATE:
Authors' post on PubPeer now says "we never say in the article that it is a randomized control trial (RCT) but we consider an open randomized trial, and an observational study."

Curiouser and curiouser.

pubpeer.com/publications/D… Image

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More from @fperrywilson

19 Jan
Thread to discuss our new RCT (ELAIA-1) appearing in @bmj_latest that showed some unexpected results in the world of electronic alerts for acute kidney injury.
bmj.com/content/372/bm…
We know that AKI goes unrecognized and, in theory, undertreated from large retrospective studies like this one from @dmoledina:
sciencedirect.com/science/articl…
Acknowledging that reality, many health systems (including the @NHSuk, have institute automated "alerts" for AKI).
Read 25 tweets
8 Dec 20
Looking through the @pfizer data submitted to #vrbpac now. Fascinating stuff here. Thread. 1/
Baseline characteristics. Not bad. ~10% Black. Would have liked to see more >=75 years old. 2/
Efficacy overall (that's the 95% you keep hearing about) and stratified by age group.
Looks similar whether > or < 55 years of age. 3/
Read 15 tweets
28 Oct 20
Thread:
Even a mediocre vaccine can end the pandemic. But there are some caveats. I wrote about this on vox.com last week,
vox.com/21528373/vacci…
but here are the highlights: (1/n)
Let's assume that, on average, every person with COVID-19 can infect 2 additional people (a bit lower than the R0 of 2.5 but makes math easier). (2/n)
To stop the pandemic, we need to prevent disease in 1 out of every 2 people.
So if the vaccine is 100% effective, we'd need to vaccinate 50% of the population.
(Technically vaccinate or infect 50% of the population but trying to stay simple.)
(3/n)
Read 13 tweets
16 Sep 20
I have no idea which #vaccine
@realDonaldTrump was talking about today. But if we are going to have a vaccine before 2021, it will be one of these seven.

Here are the details (THREAD)

methodsman.com/blog/current-c…
mRNA vaccines
Inactivated virus vaccines
Read 4 tweets
5 Aug 20
OK let's do this.
In one place - ALL the randomized trials of #Hydroxychloroquine for #COVID.

5 peer-reviewed RCTs. 1 large RCT still in pre-print, but deserves recognition.

All negative.

I don't know what else to say at this point.

medscape.com/index/list_124…
Read 10 tweets
19 May 20
There will be no "antibody passports" for a while. Even if an antibody test has a low (say 5%) false positive rate, if YOU get a positive test, it may only be 50/50 (or less) that you actually have antibodies. WTF? (1/n)
It comes down to the false positive rate versus the positive predictive value. The FPR is how often a test comes back positive in a group of people WITHOUT antibodies. For this example, let's say that's 5%. (2/n)
OK - but as an individual, that number doesn't mean a lot. After all, you don't know if you truly have antibodies or not. That's why you're getting the test. (3/n)
Read 13 tweets

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