Second looks: Peer-reviewed research questions mask study, finds hydroxychloroquine benefit
"Staff behavior" in Bangladesh mask study "caused large and statistically significant imbalances in population sizes," peer-reviewed study says. Hydroxychloroquine "blocks SARS-CoV-2 entry" into the pathway favored by Omicron, another finds.
The Facts Inside Our Reporter’s Notebook
- President Biden told "60 Minutes"
- Ashish Jha, who recently told Americans "the pandemic isn't over,"
- may cause headaches for Justice Department lawyers who continue to defend
- widely touted in the media as the first randomized controlled trial
- peer-reviewed "re-analysis"
- methodological criticisms of the study last year
- Wesley Pedgen, who has also scrutinized mask research
- December paper in Science
- Twitter locked then-Harvard epidemiologist Martin Kulldorff out of his account
- Francis Collins put Kulldorff on a quasi-blacklist of "fringe epidemiologists"
- Chris Cox told Sen. Josh Hawley
- intimate cooperation with the feds on censorship
- called the reanalysis "provocative" in his newsletter
- responded to Prasad's tweet thread
- Nature journal Communications Biology
- Prior research has found that this enzyme
- Oversight Board reversed its decision to remove a post touting HCQ
When President Biden told "60 Minutes" in an interview from the Detroit Auto Show that "the pandemic is over," he pointed to the bare faces of attendees. "If you notice, no one's wearing masks," he said. "And I think this is a perfect example of it."
The remark contradicted Biden's COVID adviser Ashish Jha, who recently told Americans "the pandemic isn't over," and may cause headaches for Justice Department lawyers who continue to defend the administration's COVID-19 mandates in court.
But Biden's statement also makes it easier for his administration to quietly distance itself from mask mandates, whose scientific basis continues to fall under methodological scrutiny.
The so-called Bangladesh mask study, widely touted in the media as the first randomized controlled trial (RCT) to show small but meaningful protection at least from surgical masks, is the subject of a new peer-reviewed "re-analysis" in the Springer Nature journal Trials.
Lead author Ben Recht, a University of California Berkeley machine-learning professor, expanded on his methodological criticisms of the study last year with Carnegie Mellon University mathematician Wesley Pedgen, who has also scrutinized mask research, and University of Pittsburgh computational biologist Maria Chikina.
"Since high impact publications often lead to changes in social behaviors and government policies, they need to be carefully vetted," they wrote, referring to the December paper in Science led by Yale economist Jason Abaluck, based on a cluster RCT of 600 Bangladeshi villages.
Social media giants and the federal public health establishment were already protecting mask mandates from scientific challenge when Abaluck's preprint came out in September 2021.
At the same time it was coordinating with the feds to remove purported misinformation, Twitter locked then-Harvard epidemiologist Martin Kulldorff out of his account for a month for saying elderly people had died because of false claims by public health officials that masks would protect them. Then-National Institutes of Health Director Francis Collins put Kulldorff on a quasi-blacklist of "fringe epidemiologists" the prior autumn.
"We find that staff behavior in both unblinded and supposedly blinded steps caused large and statistically significant imbalances in population sizes," the Trials paper said of Abaluck's team.
Neither the preprint nor the peer-reviewed paper from the Bangladesh study included the "raw numbers" from the trial, though Abaluck posted them after initial media coverage, showing "the primary outcome [symptomatic seropositives] differed by a total of just 20 cases between the treatment and control arms" in a study population of 300,000, Recht and the others wrote.
"In particular, the difference in rates is constituted by denominator differences, and thus is similar in magnitude (10% vs 9%) to the population imbalance which arose through the interaction of staff bias and random chance (156,938 and 170,497 individuals enrolled in control and treatment respectively)," the paper says.
It notes that Abaluck's team already conceded the study had "substantial post-randomization ascertainment bias" due to staff who were "tasked with both enrolling households and providing masks in the treatment villages and hence were aware whether they were surveying a treatment or control village." But this bias could only "account for 25% of the difference in size between treatment and control," suggesting "some unintentional unblinding" as well.
"The purpose of randomized control trials is to establish a causal link between interventions and outcomes," notes the Trials paper. "However, causal implications are diminished in the presence of unblinding, ascertainment bias, and bias-susceptible endpoints. Unfortunately, in the Bangladesh mask trial we [find] evidence of all of the above."
University of California San Francisco epidemiologist Vinay Prasad, who previously wrote his own review of mask-research literature, called the reanalysis "provocative" in his newsletter. The Bangladesh study "falls apart," he concluded.
"If participants could see a big truck or boxes in intervention villages, but not see that in control villages, they may be more likely to enroll," he wrote. "In fact, 9% more likely!"
A person who enrolls in the trial because "they are getting something for free" may be "slightly less likely to properly report COVID symptoms (perhaps they report less or differently) and less likely to follow through with testing," Prasad said. "Assuming these people are just a little different, can cause the entire trial results to tip."
Abaluck didn't answer queries but responded to Prasad's tweet thread, attaching an email he wrote to the Trials authors.
"[E]very Covid RCT of which I am aware" relies in part on self-reported symptoms, which inevitably means "differential reporting is a concern," he tweeted. "In our study, we could not blind people to whether they received masks. This is also true in vax trials, where people cannot be truly blinded because the real vax has symptoms."
The alternative to self-reporting would be testing everyone, he explained, which was "cost prohibitive in the original study," and his team "couldn't get all the tests imported in time" for an intended followup study.
Though the arm imbalance "is not news," Abaluck's team showed that "treatment and control households are balanced at baseline in terms of both symptoms and symptomatic seropositivity" and "a few more households" in the treatment group "suggests little one way or the other," he said.
Another frequent target of social media censorship, alternative COVID treatments, is also getting a new look.
The peer-reviewed Nature journal Communications Biology published a study last week that found hydroxychloroquine (HCQ) "blocks SARS-CoV-2 entry into the endocytic pathway" — the primary method of entry for the Omicron variant — "in mammalian cell culture," specifically "lung samples from adult humans with chronic obstructive pulmonary disease."
Scripps Research Institute researchers across several departments used "super-resolution imaging" to determine the antimalarial drug "directly perturbs clustering of ACE2 receptor," which facilitates COVID infection, "through two distinct mechanisms in high and low tissue cholesterol," which is "critical to both viral entry and immune responses."
HCQ does this "prior to inhibiting cathepsin-L," they said. Prior research has found that this enzyme is "probably involved in processing SARS-CoV-2 spike protein," and its "inhibition is detrimental to SARS-CoV-2 infection." The Scripps researchers found "slightly" reduced efficacy of HCQ in "cholesterol loaded cells compared to non-cholesterol loaded cells."
Promoting the antimalarial drug to treat COVID was an early target of Facebook censorship. The company's independent Oversight Board reversed the platform's decision to remove a post touting HCQ, saying the post criticized a government policy, didn't recommend taking the drug without a prescription and didn't meet Facebook's standard for "imminent harm" that justifies removal.
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