I think it is important to note, that the majority of the “studies” listed above are purely observational. These are not large scale with any kind of rigorous controls put into place. No controls involving any other kind of mitigating factors the “participants” might have utilized (i.e. mask-wearing, the amount of hand sanitizing any individual may have done on a daily basis, etc).
https://www.albertahealthservices.ca/as ... review.pdf
KEY FINDINGS
• The studies evaluating ivermectin treatment are not high enough quality to
properly decide if ivermectin is useful or not. Most studies did not clearly describe the effect of the other medications given to patients or what other factors might influence their findings (“confounding”), did not have an adequate comparator group to assess if there was a difference in patients given ivermectin, or were too small to be sure that any effect of ivermectin seen was real.
• With respect to ivermectin's ability to prevent infection with COVID-19, four low quality studies showed that ivermectin may reduce the risk of COVID-19 infection; however, there were several confounding factors and we don’t know what else the study participants were doing that might have influenced their risk of infection. More studies are needed to show if ivermectin can be used to prevent infection.
• With respect to ivermectin's ability to treat people with COVID-19, seven studies that had a control group (ie. a group of participants that did not receive ivermectin) reported the effect of ivermectin on death from COVID-19. Four showed that deaths from COVID-19 went down, while three showed that deaths from COVID-19 were not affected. All seven studies were small and were of low or very low quality, so we can’t be sure that their findings were real. More studies are needed to show if ivermectin can be used to treat COVID-19.
Strength of Evidence
Overall, the evidence for this topic is of very low to low quality. As with other clinical topics on COVID-19, the research on ivermectin is opportunistic and hastily done, with limited planning to minimize sources of bias. The body of evidence is at high risk of bias due to confounding, as many studies investigated ivermectin as add-on therapy to a cocktail of medications intended to manage symptoms and limit viral replication. Small sample sizes, performance bias, short follow-up time, inappropriate study designs, further limit the usefulness of the available evidence on ivermectin. Further, the evidence is not consistent for any outcome of COVID-19 treatment (such as PCR positivity, symptom resolution, days in hospital, or mortality).
The majority of studies are from Southeast Asia and Latin America, both regions with notably different healthcare systems, population health statistics and epidemic dynamics.
https://pubmed.ncbi.nlm.nih.gov/33592050/
Role of ivermectin in the prevention of SARS-CoV-2 infection among healthcare workers in India: A matched case-control study
Priyamadhaba Behera 1 , Binod Kumar Patro 1 , Arvind Kumar Singh 1 , Pradnya Dilip Chandanshive 1 , Ravikumar S R 1 , Somen Kumar Pradhan 1 , Siva Santosh Kumar Pentapati 1 , Gitanjali Batmanabane 2 , Prasanta Raghab Mohapatra 3 , Biswa Mohan Padhy 4 , Shakti Kumar Bal 3 , Sudipta Ranjan Singh 5 , Rashmi Ranjan Mohanty 6
Affiliations expand
PMID: 33592050 PMCID: PMC7886121 DOI: 10.1371/journal.pone.0247163
Free PMC article
Full text links Cite
Abstract
Background: Ivermectin is one among several potential drugs explored for its therapeutic and preventive role in SARS-CoV-2 infection. The study was aimed to explore the association between ivermectin prophylaxis and the development of SARS-CoV-2 infection among healthcare workers.
Methods: A hospital-based matched case-control study was conducted among healthcare workers of AIIMS Bhubaneswar, India, from September to October 2020. Profession, gender, age and date of diagnosis were matched for 186 case-control pairs. Cases and controls were healthcare workers who tested positive and negative, respectively, for COVID-19 by RT-PCR. Exposure was defined as the intake of ivermectin and/or hydroxychloroquine and/or vitamin-C and/or other prophylaxis for COVID-19. Data collection and entry was done in Epicollect5, and analysis was performed using STATA version 13. Conditional logistic regression models were used to describe the associated factors for SARS-CoV-2 infection.
Really?! One month worth of data? People are freaking out over “how quickly the vaccines were put out”, but are willing to take one month worth of data of a drug being used in an off-label way, in an uncontrolled “study”, as gospel proof?
https://www.albertahealthservices.ca/as ... review.pdf
BACKGROUND
• Ivermectin is used to treat parasitic infections (such as intestinal worms or lice) in
both humans and animals. Ivermectin is generally safe when used according to the label, but can cause mild side effects like nausea, diarrhea, fatigue, dizziness, and rash.
• Laboratory studies performed in monkey cells showed that ivermectin is able to stop the virus that causes COVID-19 from growing in cells. This raised interest in ivermectin as a potential treatment for COVID-19, even though many medicines that are effective in the laboratory are not effective when they are used in people.
• There is a lot of hype about ivermectin in social media, but it is still unclear if ivermectin actually prevents COVID-19 infection or is an effective treatment for COVID-19 because of the way studies have been done so far.
Key Messages from the Evidence Summary
• Ivermectin has been shown to inhibit viral replication in vitro, but at concentrations that may be unattainable with human therapeutic doses. Vero cells (a non-human cell line) infected with SARS-CoV-2 and treated with 5 μmol/L ivermectin at 2 hours post-infection showed a 5000X reduction in viral replication compared to untreated controls. However, the 100% inhibitory concentrations of ivermectin needed in vitro are approximately 50-55X higher than the maximum plasma concentration of ivermectin after an oral dose of 12 mg in adults.
• Studies evaluating ivermectin treatment are of inadequate quality for definitive assessment of ivermectin use in prophylaxis and therapy, with many studies involving incompletely described use of multiple other medications meant to manage symptoms and limit viral replication, inappropriate study design, inadequate controls, short follow-up length, performance bias, small sample sizes and high risk of bias from confounding factors.
I would like to add however, that it is exactly these types of observations that drive science. From the sounds of it, there are legitimate, large scale, controlled studies on ivermectin and several other potential preventions and treatments of COVID in the works as we speak. But unfortunately it takes longer than 1 month to acquire meaningful data in this fight.
The SAG and the Therapeutics Working Group will continue to monitor and assess new evidence on ivermectin as it is published. Several high quality randomized controlled trials are being conducted to further study the use of ivermectin for COVID-19; this review and recommendations will be updated as new evidence comes to light.
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In regards to the discrepancy of cases in certain states of India. A large scale antibody testing has taken place. Back in July, 71% of Uttar Pradesh residents tested positive for antibodies, and also has the highest rate of vaccination in the country.
https://www.hindustantimes.com/cities/l ... 46630.html
UP, which is India's most populous state has the highest number of vaccinations in the country at 47.5 million
Kerala on the other hand had the lowest rate of infection in the country, and therefore the lowest amount of people with antibodies.
https://www.hindustantimes.com/india-ne ... 91048.html
Kerala has had the lowest exposure to Sars-Cov-2, according to true infection estimates based on serological studies, new data by the Union government showed on Wednesday, with only 44% of the population projected to have been infected till early July compared to nearly 67% across the country as a whole.
According to experts, current infection trends and the new data by the Union health ministry offer two important insights: Kerala may have the least amount of under-reporting, and it has the most number of vulnerable people at present.
He added that this also means the second wave will “run longer for Kerala and Maharashtra because of less steep rise”.
To be sure, the fourth round of the sero study also included those who received vaccines. While the data released on Wednesday did not give a split between those with natural exposure and those with vaccine-mediated antibodies, the information released last week suggests the latter category accounts for a very small proportion: Of the 67.6% who had antibodies overall, 62% were not vaccinated, officials said at the time.
The overall sero survey results were released last week by the Union government and suggested two out of every three Indians may have been exposed to the virus. If extrapolated, this would mean roughly 900 million people have been infected by the virus; India’s official Covid-19 count on July 10 (when the survey ended) was 30 million.
https://www.albertahealthservices.ca/as ... review.pdf
Commentary on Ivermectin Use in Uttar Pradesh, India
Multiple social media sources have also reported that ivermectin might have been responsible for reducing COVID-19 cases in Uttar Pradesh, India, with claims that the low rate of new cases in spite of low vaccination rates in this region is related to distribution of ivermectin-containing medication kits. There are several potential issues with these lines of reasoning, including:
• Both observational trial data and “real world” data sources need careful evaluation using these key principles of review: expert peer review of evidence, assessment of errors in reporting, assessment of due scientific diligence, and careful consideration of confounders. These principles have not been applied to this data.
• This observational data is much lower quality evidence compared with randomized trials (which also can vary in quality and require assessment). There is variability in assessment of infection rates and outcome reporting at a population level, as well as confounding.
• Multiple sources suggest the infection rate and death toll of COVID-19 in India in general, and Uttar Pradesh in particular, has been underestimated and current transmission is likely lower because of post infection immunity in survivors given prior waves of the pandemic
o India’s death toll (and associated case counts) is estimated to be at least 7-13X higher than reported, suggesting actual population infection rates have been 60- 70%, confirmed by seroprevalence data. Multiple resources indicate that cremations outstripped official death estimates considerably in this area.
o A preprint analysis of excess mortality for India related to COVID-19 (which found up to 2% of the population died up to June, 2021) had to omit data from Uttar Pradesh because of significant reporting irregularities (including districts that reported NO deaths for months)
o Public health seroprevalence data reported by the Center for Global Development suggested extreme underreporting of cases and deaths in Uttar Pradesh, and Indian Council of Medical Research data (reported by press release) showed 71% seroprevalence in Uttar Pradesh in spite of only 29% initial dose vaccinated in July.
It is also noted that many districts in India used ivermectin over a period in which the evidence was less clear, based on national guidelines, so regions cannot be compared based on use or non-use. Ivermection and hydroxychloroquine have recently been removed from the national COVID-19 guidelines in India for lack of efficacy.
In summary, this would suggest Uttar Pradesh had a devastating prior COVID-19 surge with high case rates and significant uncounted mortality, with current evidence of partial population immunity in people who survived COVID-19 infection and increasing numbers of vaccinated people.
It appears to be more an issue of severe under reporting in this case.