Covid Citizen Scientists Provided Quick and Useful Knowledge

The essay quoted below claims that patients can provide useful knowledge about the symptoms of the diseases that afflict them. I agree, but would go even further. One source of knowledge that all humans have, and even non-humans to some extent, is the observation of patterns. Patients can observe which behaviors, medicines, circumstances make their disease better and which make their disease worse. Of course sometimes patients can be biased, can fool themselves. That can be a reason that patients disagree about what works. But another reason that patients can disagree is that patients have different bodies so that what works for one patient may not work for another. Researchers and clinicians are increasingly recognizing this when they advocate and practice “personalized” (aka “precision”) medicine.

And the academic and popular literatures have exaggerated the extent to which biases undermine our observation of patterns. The exaggeration is partly because bias is bad news, and bad news sells. The usual reliability of observed patterns has been persuasively defended in Gary Klein’s The Sources of Power.

Note another point in the passages quoted below. Patients have a sense of “urgency” that scientists often lack. Sometimes quick imperfect conclusions are actionable, while slow peer-reviewed conclusions are too late to be actionable. And sometimes peer-reviewed conclusions give us conclusions that are both slow and imperfect. Ioannides argues that “most published research findings are false” (2005). I am currently reading Piller’s Doctored that discusses highly-cited papers from the Alzheimer’s literature that illustrate Ioannides’s claim.

(p. C3) A month after her Covid-19 diagnosis last March [2020], Lisa McCorkell wanted to know why she was still struggling with a cough, shortness of breath and other debilitating symptoms. Her doctors didn’t have answers, so she and a group of other Covid patients took matters into their own hands. They formed a research group on a Slack channel and launched their own study.

“I was looking for validation, that my experience was reflected in the others,” said Ms. McCorkell, 28, of Oakland, Calif., who was finishing her graduate studies in public policy when she was diagnosed.

. . .

Covid citizen scientists generated information about symptoms, such as neurological issues, that didn’t garner a lot of attention at the start of the pandemic. They highlighted the overlooked challenges faced by people whose symptoms last longer than 28 days. The studies were limited by drawing largely from patients who joined online support groups, but they gained the kind of recognition by professional scientists that citizen science doesn’t always get.  . . .

The pandemic has created an opening for citizen scientists, because even now clinicians don’t fully understand the virus. Early clinical trial data comes mainly from studies involving hospitalized patients, whose experiences may not apply to those who are suffering but don’t end up in the emergency room.

. . .

Patients who want to lead Covid research projects often must navigate tension between their sense of urgency and the traditional scientific process, which typically requires a long peer review process before publication in a journal, said Emily Sirotich, a Ph.D. student at McMaster University in Canada. On March 12, the day the WHO declared Covid a pandemic, Ms. Sirotich joined a Twitter conversation between rheumatology patients and doctors, who were on equal footing when it came to Covid: No one understood the disease. “Everyone was worried,” she said.

. . .

Patients wanted to share the survey data right away, but the researchers argued that the scientific community wouldn’t use the information to inform patient care without the validation of going through peer review. “It has to be accurate,” said Ms. Sirotich.

The two groups tried to strike a balance, Ms. Sirotich said. Patients created overview summaries of the raw data that they immediately disseminated to support groups for use in personal decision making. The physicians and patients also co-wrote and submitted articles with more detailed data analysis to peer-reviewed journals and conferences.

“Covid gave us the opportunity to show that patients can produce valid data and reliable information about what they are experiencing,” Ms. Sirotich said.

In December [2020], the Patient-Led Research for Covid-19 group posted a paper based on analyzing data from over 3,700 patients to the MedRxiv public server, which professional scientists have used throughout the pandemic to quickly make results available to the wider community before peer review. The group also plans to submit the paper to a scientific journal.

Eric Topol, director of the Scripps Research Translational Institute in La Jolla, Calif., and a proponent of patients tracking their own health, tweeted the results. “There is a dearth of information about Covid,” Dr. Topol later said. As a professional scientist, he added, “The paper provided invaluable new insights to me.”

For the full essay see:

Amy Dockser Marcus. “Patients Are Doing Their Own Covid-19 Research.” The Wall Street Journal (Saturday, Jan. 30, 2021 [sic]): C3.

(Note: ellipses, and bracketed years, added.)

(Note: the online version of the essay has the same date as the print version, and has the title “Covid-19 Patients Are Doing Their Own Research.”)

Marcus’s essay is consistent with the theme of her book:

Marcus, Amy Dockser. We the Scientists: How a Daring Team of Parents and Doctors Forged a New Path for Medicine. New York: Riverhead Books, 2023.

The Gary Klein book I praise in my comments is:

Klein, Gary A. Sources of Power: How People Make Decisions. 20th Anniversary ed. Cambridge, MA: The MIT Press, 2017.

The Ioannidis paper that I quote above is:

Ioannidis, John P. A. “Why Most Published Research Findings Are False.” PLoS Medicine 2, no. 8 (Aug. 2005): 696-701.

The Piller book that I praise in my comments is:

Piller, Charles. Doctored: Fraud, Arrogance, and Tragedy in the Quest to Cure Alzheimer’s. New York: Atria/One Signal Publishers, 2025.

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