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Home Uncertainty & Complexity

Declare Pandemic Uncertainty

Enough time has passed to where we are reflecting on the pandemic for a sense of closure.

Daily Remedy by Daily Remedy
November 14, 2022
in Uncertainty & Complexity
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Declare Pandemic Uncertainty

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Some say we should declare amnesty. Others demand a mea culpa. Let’s forgo both and simply declare pandemic uncertainty. Acknowledge the vast unknown that surrounds everything we know in medicine.

It’s hard for us to understand uncertainty. We process it in stages. First comes the fear. The fear turns into anger and then we look for places to release that anger. That triggers the never ending blame game.

At the start of the COVID-19 pandemic, we watched our favorite restaurants shut down, small businesses either close or go under, and mortality inch upward. By focusing attention on the growing incidence of infections, we gave rise to a pandemic of fear that emerged alongside the actual virus. It turned a public health crisis into an existential crisis affecting every aspect of this country.

We looked for something or someone to blame. Some blamed the delayed response and insufficient resources, while others blamed the novelty of the virus and the unforeseen intensity.

Despite the wide-ranging interpretations and reactions, one trend seemed to hold true. A large population in a country would get infected, political leaders would get blamed, and then people started counting the lives – lives affected and lives lost.

The more we counted, the more we feared – soon the fear overtook our behavior. We began asking for more tests. We demanded them without realizing that regardless of the results, the treatment would be the same: quarantining. We clamored for tests even after knowing the results could be wrong.

We treated our fears like a symptom, right alongside cough and fever. By curing our fears, we acted as though we treated the virus. It was fear that led physicians to self-prescribe 55,000 scripts of hydroxychloroquine, forgoing medical ethics for the irrationality of fear.

Fears made worst case scenarios the likely scenarios leading cities to demand medical supplies and ventilators in excess of what COVID-19 models projected the cities would need. No one can say whether these reactions were an appropriate reaction or an overreaction. They’re a subjective reaction to the fear of uncertainty.

Uncertainties appear differently in the moment and after the fact. Studying the difference in these perceptions helps to understand how to approach similar uncertainties in the future. Demanding apologies or declaring all as forgiven misses the mark. It’s far more important to study our tendencies in an objective light, to make sense of why we behaved as we did. If we’re being honest, our collective reactions to the pandemic created as much harm as the pandemic itself. There’s no one to blame, only a need for self-analysis.

Milton Friedman alluded to this when he warned of overreactions in healthcare: “[the] cure is worse than the disease”.

Health policy experts reacted with extreme lockdowns, using fear as a tool to contain the virus. They didn’t think the public would understand the importance of quarantining or of behavioral modifications like mask wearing, so they told “noble lies”. The public saw fear as a mechanism of control and grew to mistrust policy-makers. Once the mistrust grew, the reactions became increasingly chaotic and self-destructive – from both the public and policy experts.

Frightened patients purchased test kits lacking FDA approval in large quantities online, bypassing all regulatory oversight designed to avoid clinically harmful behavior. But the public’s fear of the virus overtook any regard for the regulatory process, which ironically became mostly ineffective in the most critical of times.

What emerged instead were a series of reactions to facts as they emerged. We attributed cause and effect without knowing the full cause of the pandemic, and struggled to make sense of what was transpiring, even though we knew all the relevant facts had not yet fully appeared.

We saw this with the COVID-19 vaccines. Everyone had a view on vaccines, regardless of how much they knew about them. Each argument, no matter how eloquent, centered on individual rights versus collective benefits. Those for individual rights focused on the risk of receiving a vaccine injection. Those for collective safety focused on the risk of being infected by diseases the vaccine intends to protect against.

At face value, arguments on both sides are justified as they are both partially true: each vaccine injection carries an individual risk and vaccines in aggregate provide a collective benefit. Those who are against vaccines focus on the individual risk while those who are in favor focus on the widespread immunization. As uncertainty grows, mistrust grows along with it. So it makes sense that few trusted the vaccines at first. There was just too much uncertainty. In fact, we can trace the uncertainty over the pandemic and see how public perception of vaccines changed.

At first, public sentiment for vaccines was high because the vaccine was perceived to be a solution to COVID-19 in a broad, generalized sense. This perception changed when vaccines became available. It turned into an individual decision to get it or not. The perception changed because the uncertainty changed. Now, instead of looking at the vaccine as a general form of treatment, people viewed the vaccine relative to individual benefit and risk.

Our minds gravitate toward what we know. But our reactions are constantly in response to what we don’t know. Fear is funny like that. It ignores the facts and reacts to the uncertainty. And when the uncertainty changes, so do our perceptions.

This is nothing to be ashamed of, or to moralize upon after the fact. It is something to be studied absent any pretense of retroactive sanctimony.

We shouldn’t apologize for reacting to things we didn’t know about. Nor should we self-righteously forgive others for things they did in the grips of fear. We should absolve ourselves of this desire to characterize our behavior within the framework of an apology.

Uncertainty is one of the most difficult things for us to understand. Yet, it’s the most important thing to appreciate about the pandemic.

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Daily Remedy

Dr. Jay K Joshi serves as the editor-in-chief of Daily Remedy. He is a serial entrepreneur and sought after thought-leader for matters related to healthcare innovation and medical jurisprudence. He has published articles on a variety of healthcare topics in both peer-reviewed journals and trade publications. His legal writings include amicus curiae briefs prepared for prominent federal healthcare cases.

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Videos

This conversation focuses on debunking myths surrounding GLP-1 medications, particularly the misinformation about their association with pancreatic cancer. The speaker emphasizes the importance of understanding clinical study designs, especially the distinction between observational studies and randomized controlled trials. The discussion highlights the need for patients to critically evaluate the sources of information regarding medication side effects and to empower themselves in their healthcare decisions.

Takeaways
GLP-1 medications are not linked to pancreatic cancer.
Peer-reviewed studies debunk misinformation about GLP-1s.
Anecdotal evidence is not reliable for general conclusions.
Observational studies have limitations in generalizability.
Understanding study design is crucial for evaluating claims.
Symptoms should be discussed in the context of clinical conditions.
Not all side effects reported are relevant to every patient.
Observational studies can provide valuable insights but are context-specific.
Patients should critically assess the relevance of studies to their own experiences.
Engagement in discussions about specific studies can enhance understanding

Chapters
00:00
Debunking GLP-1 Medication Myths
02:56
Understanding Clinical Study Designs
05:54
The Role of Observational Studies in Healthcare
Debunking Myths About GLP-1 Medications
YouTube Video DM9Do_V6_sU
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BIIB080 in Mild Alzheimer’s Disease: What a Phase 1b Exploratory Clinical Analysis Can—and Cannot—Tell Us

BIIB080 in Mild Alzheimer’s Disease: What a Phase 1b Exploratory Clinical Analysis Can—and Cannot—Tell Us

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Can lowering tau biology translate into a clinically meaningful slowing of decline in people with early symptomatic Alzheimer’s disease? That is the practical question behind BIIB080, an intrathecal antisense therapy designed to reduce production of tau protein by targeting the tau gene transcript. In a phase 1b program originally designed for safety and dosing, investigators later examined cognitive, functional, and global outcomes as exploratory endpoints. The clinical question matters because current disease-modifying options primarily target amyloid, while tau pathology tracks...

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