My point is, there is little to no oversight, and there is a HUGE bucket of money. If you don't think that greed and corruption will be a big part of that equation, we'll have to agree to disagree.
I started this conversation with a point that real world data from doctors is being banned on social media. This is not just POTUS. He retweeted a video that was about 30 doctors stating how hydroxychloroquine worked for them in real world cases. Not labs. Not research. Not university studies. They used it with COVID patients, and it worked effectively in hundreds of cases. This is backed up by my own experience of knowing someone who also has seen the effectiveness, and recommends it as a treatment. When there's a HUGE bucket of money on the line, I am going to question the motives of anyone who could profit in on way or another.
I don't mean this to be flippant, but the basic problem is not knowing what scientific research actually is. There is no comparison between stories that you read on social media, or videos put out by politicians, and scientific research. To get a sense for this, let's use the example study posted by
@hopemax
The steps of the scientific method are often simplified to:
1. Ask a question
2. Do background research
3. Construct a hypothesis.
In the abstract for the linked paper, the authors write that:
Hydroxychloroquine and azithromycin have been used to treat patients with coronavirus disease 2019 (Covid-19). However, evidence on the safety and efficacy of these therapies is limited.
This is the authors commenting that doctors had (anecdotally) seen that these drugs seemed effective. That's steps 1 and 2. Then they write down what we call a scientific hypothesis, which is how we test to see if a claim is true or discover the answer to a question. The question they asked was of the form "if this drug is effective, what would we expect to to see?" This is step 3.
Step 4 is to design and conduct an experiment. The authors write:
We conducted a multicenter, randomized, open-label, three-group, controlled trial involving hospitalized patients with suspected or confirmed Covid-19 who were receiving either no supplemental oxygen or a maximum of 4 liters per minute of supplemental oxygen. Patients were randomly assigned in a 1:1:1 ratio to receive standard care, standard care plus hydroxychloroquine at a dose of 400 mg twice daily, or standard care plus hydroxychloroquine at a dose of 400 mg twice daily plus azithromycin at a dose of 500 mg once daily for 7 days.
This is called a randomized controlled trial. Randomization is a simple step that makes reduces both conscious and unconscious bias from effecting the results of a study.
Step 5 is to Analyze data and draw conclusions. The authors of this paper do the following analysis:
The primary outcome was clinical status at 15 days as assessed with the use of a seven-level ordinal scale (with levels ranging from one to seven and higher scores indicating a worse condition) in the modified intention-to-treat population (patients with a confirmed diagnosis of Covid-19). Safety was also assessed.
And in the paper, you can see how they did this in terms of technical-mathemaical details that you can check yourself. The results of that analysis are:
A total of 667 patients underwent randomization; 504 patients had confirmed Covid-19 and were included in the modified intention-to-treat analysis. As compared with standard care, the proportional odds of having a higher score on the seven-point ordinal scale at 15 days was not affected by either hydroxychloroquine alone (odds ratio, 1.21; 95% confidence interval [CI], 0.69 to 2.11; P=1.00) or hydroxychloroquine plus azithromycin (odds ratio, 0.99; 95% CI, 0.57 to 1.73; P=1.00). Prolongation of the corrected QT interval and elevation of liver-enzyme levels were more frequent in patients receiving hydroxychloroquine, alone or with azithromycin, than in those who were not receiving either agent.
Finally, the results are:
Among patients hospitalized with mild-to-moderate Covid-19, the use of hydroxychloroquine, alone or with azithromycin, did not improve clinical status at 15 days as compared with standard care.
(bold mine)
The scientists in question then followed the last step of the scientific method by 6. communicating results.
Rather than post on social media or put out a video, the researchers here submitted their paper for peer-review. Because of the importance of transparency, the authors also disclosed their funding sources, noting that while drugs were provided by a pharmaceutical company to help conduct the trial, "EMS Pharma had no role in the conduct of the trial, the analysis, or the decision to submit the manuscript for publication. The trial was overseen by an independent international data and safety monitoring committee. The executive committee vouches for the completeness and accuracy of the data and for the fidelity of the trial to the
protocol (available at NEJM.org)."
In addition to going through peer review (typically multiple reviewers criticize a paper for several rounds before a paper is accepted), because it is important that science is reproducible, the authors also state that "A
data sharing statement provided by the authors is available with the full text of this article at NEJM.org." where they state they will provide their data to other scientific researchers.
I wanted to go through this because I don't think non-scientists appreciate the vast difference in how reliable academic research is as compared to other forms of research that you might do, including listening to videos put out by physicians about their experiences and perceptions.