Barry
Senior Member (Voting Rights)
Presumably you meant 'arms'The two treatment harms do not match, so nothing can be deduced from this study.

Presumably you meant 'arms'The two treatment harms do not match, so nothing can be deduced from this study.
Oh yes, sorry, I will change it.Presumably you meant 'arms'.
I understand the concept of half life and exponential decay, but could you explain (without getting too medically technical) how it relates to medication please.As I think I pointed out earlier, because chloroquine has a long half life
The median ages of the two arms also reflect this, 66 vs 77.The two treatment arms do not match, so nothing can be deduced from this study.
The HCQ group includes 36.5% of 45-64 years old, but only 23.5% of +80 years. The group without HCQ: 44.6% over 80 years.
The high number of people over 80, with a higher risk of death, could in itself explain why the non treatment group had worst outcomes.
Apparently, they haven't...Surely this is so basic they must have attempted some kind of correction for this, even if also potentially flawed?
I understand the concept of half life and exponential decay, but could you explain (without getting too medically technical) how it relates to medication please.
And I'm guessing that when you talk about a loading dose this is like when I've had to go on emergency doses of antibiotics, a double first dose is typically recommended. Presumably to get a faster ramp up of medicine level within the body.
Yes, so in the same way the dose decays exponentially, there will also be an equivalent exponential approach toward the target quiescent level. Which is why - I'm guessing - when you need antibiotics pretty urgently they give you them intravenously ... presumably the half life is drastically reduced in terms of ramp up.
Is intravenous administration of chloroquine not viable?
Background
Hydroxychloroquine or chloroquine with or without azithromycin have been widely promoted to treat COVID-19 following early in vitro antiviral effects against SARS-CoV-2
Objective
The aim of this systematic review and meta-analysis was to assess whether chloroquine or hydroxychloroquine with or without azithromycin decreased COVID-19 mortality compared to the standard of care.
Data sources
Pubmed, Web of Science, Embase Cochrane Library, Google Scholar and MedRxiv were searched until 25 July 2020.
Study eligibility criteria
We included published and unpublished studies comparing the mortality rate between patients treated with chloroquine or hydroxychloroquine with or without azithromycin and patients managed with standard of care.
Participants
Patients ≥18 years old with confirmed COVID-19.
Interventions
Chloroquine or hydroxychloroquine with or without azithromycin.
Methods
Effect sizes were pooled using a random-effects model. Multiple subgroup analyses were conducted to assess the drug safety.
Results
The initial search yielded 839 articles, of which 29 articles met our inclusion criteria. All studies except one were conducted on hospitalized patients and evaluated the effects of hydroxychloroquine with or without azithromycin. Among the 29 articles, 3 were randomized controlled trials (RCT), one was a non-randomized trial and 25 were observational studies, including 10 with a critical risk of bias and 15 with a serious or moderate risk of bias. After excluding studies with critical risk of bias, the meta-analysis included 11,932 participants for the hydroxychloroquine group, 8,081 for the hydroxychloroquine with azithromycin group and 12,930 for the control group. Hydroxychloroquine was not significantly associated with mortality: pooled Relative Risk RR=0.83 (95% CI: 0.65-1.06, n=17 studies) for all studies and RR=1.09 (95% CI: 0.97-1.24, n=3 studies) for RCTs. Hydroxychloroquine with azithromycin was associated with an increased mortality: RR=1.27 (95% CI: 1.04-1.54, n=7 studies). We found similar results with a Bayesian meta-analysis.
Conclusion
Hydroxychloroquine alone was not associated with reduced mortality in hospitalized COVID-19 patients but the combination of hydroxychloroquine and azithromycin significantly increased mortality.
Yes, the situation in France is beyond the pale. I just read on one of the authors twitter account how harrassed he has been, is address shared on social media, threats...The authors are 6 young researchers who teamed up via social media. They're now receiving ad hominem (not scientific) criticism from pro-HCQ French MDs, as well as insults & threats from HCQ "supporters". So are journalists who have reported on their review.
Insults and threats for conducting rigorous research. Politics stepping over science. This is beyond horrible.
A user on YouTube has sent me this reply when I pointed out that the non-HCQ group was not age matched to the HCQ group. Here is what they said....The two treatment arms do not match, so nothing can be deduced from this study.
The HCQ group includes 36.5% of 45-64 years old, but only 23.5% of +80 years. The group without HCQ: 44.6% over 80 years.
The high number of people over 80, with a higher risk of death, could in itself explain why the non treatment group had worst outcomes.
View attachment 11847
A user on YouTube has sent me this reply when I pointed out that the non-HCQ group was not age matched to the HCQ group. Here is what they said....
"The study controls for other variables which are statistically ruled out. HCQ works independent of the other variables. That is the whole point of an observational study. Big numbers make that easier to do and makes the results more reliable."
Is there any way this could be true? Seems bunk to me.
The issue is not about the "other variables" surely, and so whether HCQ works independently of them has no relevance to the question posed ... even if that statement of theirs has any credibility anyway.A user on YouTube has sent me this reply when I pointed out that the non-HCQ group was not age matched to the HCQ group. Here is what they said....
"The study controls for other variables which are statistically ruled out. HCQ works independent of the other variables. That is the whole point of an observational study. Big numbers make that easier to do and makes the results more reliable."
Is there any way this could be true? Seems bunk to me.