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Careful approach to single studies needed (mask effectiveness)

sun rise

The world is on fire
Premium Member
I've too often seen (and might have done it myself) seizing on a single study that appears to prove something. Case in point:

Study Comparing Surgical and N95 Masks Sparks Concern
  • the fit-testing protocol wasn't defined
  • results may not apply to other countries because of differences in treatment effects.
  • wide confidence intervals indicating a high degree of uncertainty,
  • differences in self-reported adherence
  • baseline SARS-CoV-2 antibody status
  • between-country differences in vaccination coverage
  • dominant circulating variants
  • HCWs in Canada were allowed to make their own decisions about whether to don a mask or N95, regardless of which intervention they were assigned to.
  • 81% of N95 users reported using them all the time.
  • Most HCWs not infected in hospital
    About a quarter of participants reported never caring for COVID patients yet were still included in the analysis
    relied on self-reported household and community exposures, which he said are unreliable because many infections go unrecognized.
    Study participants were required to get tested for infection only if they developed symptoms
  • They use a figure of '>50% efficacy' for excluding vaccines, but do not present the estimates of efficacy for Sinopharm and other vaccines, or any information on how they calculate this,
  • A control group was also needed,
Some of the bullet points come from here: Study on masks vs N95 respirators for health workers spurs concerns | CIDRAP




 
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