Immediate red flags are differences in the groups, such as the higher prevalence of smoking in the "COVID" group which hasn't been seen in real world studies. And the smoker group had the exact same educational history - you don't usually see that.
Always worth looking at the supplementary to look for inconsistencies in published data.
These figures on a test negative design show that the "effectiveness" was only 9%. Bearing in mind miscategorisation bias, this means there was negative efficacy against infection.
And, as we have seen previously, these non-randomised studies bias towards smokers in the unvaccinated group, which is the primary driver for preterm labour.
Oh look (RR=0.78, p<0.05)
Table 3b gives the outcomes for those pesky "unvaccinated" women by COVID status, showing the only fetal outcome difference was preterm birth, which could entirely be accounted for by the group smoking rates.
The UK maternal mortality rate is 7 per 100,000 births (2017).
In this series of unvaccinated women there were 4 deaths. This should not have happened. The probability of 4 deaths in 1732 patients... 0.00001
Note that the table 3b breakdown was not published for the vaccinated women, demonstrating an innate bias by the authors.
And one death has been removed in table 5, which should have 5 deaths in total if there was one death in the vaccinated group.
If there truly were 4 or 5 deaths in this series of 2738 pregnant women, the whole trial group should must be audited because this level of maternal mortality is off the scale.
Those 5 deaths... 4 were in the unvaccinated who received antibiotic treatment at a lower rate despite having "more COVID". Which likely means they had treatment withheld compared to the vaccinated group.
If that was the #3tablets needed for post-viral pneumonia...
It would suggest that those women were treated with prejudice, which resulted in their death.
So I am calling on EVERY death in that paper to be criminally and independently investigated.
There are a lot of pharma agents celebrating on twitter recently because the now-conflicted @cochranecollab dropped their standards and published something on HPV vaccination they didn't understand.
To explain it you need to understand the difference between the two studies quoted.
The first (Bergman) analysed a bunch of real studies (including RCTs) and concluded that the effect on cancer couldn't be seen - despite nearly 20 years of follow up.
The second (Henschke) cherry picked a bunch of "real world data" studies and concluded that the vaccine prevented a gazillion cervical cancers, pretending that it analysed 132 million patient records. It did nothing of the sort. What it did was look at two studies, take out the bit where it showed that the vaccine increased the risk of cancer (Kjaer 2021, over 20s) - replicated in multiple country statistics, split them into three studies, ignore the other studies showing the opposite, and ignore the fact that none of this data is verifiable.
Notably, one of the major studies (Palmer 2024, which was found to be seriously flawed) has been excluded from the meta-analysis because it did not show a cancer benefit in the under 16 age group.
It is very difficult to "fix" a randomised controlled trial.
It is very easy to "fix" a meta-analysis of observational studies where the data is "not available".
There is a huge difference between "real" studies and "real world data" studies because the latter are cherry picked or even fully synthetic, and the authors don't have access to the data. They are produced by vested interests groups to sell a narrative.
This was the most corrupted review that Cochrane have ever performed and this time they shot themselves in the foot by contradicting their own reviews. cochranelibrary.com/cdsr/doi/10.10…
your childish insults drew my attention to your lab's quite incredible paper confirming that chronic activation of cGAS-STING, as happens with plasmid-contaminated vaccines, causes cancer.
Retraction Watch busted for collusion with Rolf Marschalek, who is not only part of BioNtech's Goethe university..
but - get this - their Corona fund was pump primed by the Quandt family - infamous for their role in Nazi Germany.
The dude keeps going, but betrays that this is a copycat to a bunch of accounts linked to one dubbed "Penguin" that only appeared when I pointed out the Joe Sansone scam that is being coordinated by Sasha Latypova to derail legal cases.
This is also strange.
The Quentin registry study shows a big jump in vaccination rate by age group but the Bernard study doesn't show the same.
This is more like what a synthetic data set might show based on assumed characteristics of the underlying data.
There are possible explanations for all of these anomalies, but this is the problem with secret registry data:
It's not credible when it conveniently matches a narrative and nobody is allowed to see it.
I'm going to explain why this chart is so important and why @jsm2334 is being disingenuous by ignoring it - whilst making points that undermine the "real world vaccine data" industry.
It's a Kaplan-Meier curve and it obliterates Jeffrey's argument.
Just to go over it... the lines show what proportion of subjects (children) ended up without chronic disease up to 10 years after being studied.
It's called a survival analysis because it's used for cancer survival.
If the red line was a cancer drug it would be a blockbuster
It shows that by the end of the 10 year follow-up, of those that they could still follow up (who stayed in the study) 57% (100-43%) of vaccinated kids had chronic disease (e.g. asthma) and 17% (100-83%) of unvaccinated kids did.