After a Diagnosis, Patients Are Finding Solace—and Empowerment—in a Sensitive Corner of Social Media
When Kimberly Richardson of Chicago underwent chemotherapy in 2013 for ovarian cancer, her hip began to hurt. Her doctor assigned six months of physical therapy, but the pain persisted.
She took the mystery to Facebook, where she got 200 comments from cancer survivors all pointing to the same solution: Claritin. Two days after starting the antihistamine, her hip felt fine. Claritin, it turns out, reduces bone marrow swelling, a side effect of a stimulant given after chemo.
Richardson isn't alone in using social media for health. Thirty-six percent of adults with chronic diseases have benefited from health advice on the internet, or know others who have. The trend has likely accelerated during COVID-19. "With increases in anxiety and loneliness, patients find comfort in peer support," said Chris Renfro-Wallace, the chief operating officer of PatientsLikeMe, a popular online community.
Sites like PatientsLikeMe and several others are giving rise to a patient-centered view of healthcare, challenging the idea that MD stands for medical deity. They're engaging people in new ways, such as virtual clinical trials. But with misinformation spreading online about health issues, including COVID-19, there's also reason for caution.
Engaged by Design
Following her diagnosis at age 50, Richardson searched the Web. "All I saw were infographics saying in five years I'd be dead."
Eventually, she found her Facebook groups and a site called Inspire, where she met others with her rare granulosa cell tumor. "You get 15 minutes with your doctor, but on social media you can keep posting until you satisfy your question."
Virtual communities may be especially helpful for people with rarely diagnosed diseases, who wouldn't otherwise meet. When Katherine Leon of Virginia suffered chest pain after the birth of her second son, doctors said it was spontaneous coronary artery dissection, or SCAD, involving a torn artery. But she had no risk factors for heart disease. Feeling like she was "wandering in the woods" with doctors who hadn't experienced her situation, she searched online and stumbled on communities like Inspire with members who had. The experience led her to start her own Alliance and the world's largest registry for advancing research on SCAD.
"Inspire is really an extension of yourself," she said. If designed well, online sites can foster what psychologist Keith Sawyer called group mind, a dynamic where participants balance their own voices with listening to others, maximizing community engagement in health. To achieve it, participants must have what Sawyer called a "blending of egos," which may be fostered when sites let users post anonymously. They must also share goals and open communication. The latter priority has driven Brian Loew, Inspire's CEO, to safeguard the privacy of health information exchanged on the site, often asking himself, "Would I be okay if a family member had this experience?"
The vibe isn't so familial on some of Facebook's health-focused groups. There, people might sense marketers and insurers peering over their shoulders. In 2018, a researcher discovered that companies could exploit personal information on a private Facebook community for BRCA-positive women. Members of the group started a nonprofit, the Light Collective, to help peer-to-peer support platforms improve their transparency.
PatientsLikeMe and Inspire nurture the shared experience by hosting pages on scores of diseases, allowing people to better understand treatment options for multiple conditions—and find others facing the same set of issues. Four in ten American adults have more than one chronic disease.
Sawyer observed that groups are further engaged when there's a baseline of common knowledge. To that end, some platforms take care in structuring dialogues among members to promote high-quality information, stepping in to moderate when necessary. On Inspire, members get emails when others reply to their posts, instead of instant messaging. The communication lag allows staff to notice misinformation and correct it. Facebook conversations occur in real-time among many more people; "moderation is almost impossible," said Leon.
Even on PatientsLikeMe and Inspire, deciding which content to police can be tough, as variations across individuals may result in conflicting but equally valid posts. Leon's left main artery was 90 percent blocked, requiring open heart surgery, whereas others with SCAD have angina, warranting a different approach. "It's a real range of experience," she explained. "That's probably the biggest challenge: supporting everyone where they are."
Critically, these sites don't treat illnesses. "If a member asks a medical question, we typically tell them to go to their doctor," said Loew, the Inspire CEO.
Increasingly, it may be the other way around.
The Patient Will See You Now
"Some doctors embrace the idea of an educated patient," said Loew. "The more information, the better." Others, he said, aren't thrilled about patients learning on their own.
"Doctors were behind the eight ball," said Shikha Jain, an oncologist in Chicago. "We were encouraged for years to avoid social media due to patient privacy issues. There's been a drastic shift in the last few years."
Jain recently co-founded IMPACT, a grassroots organization that networks with healthcare workers across Illinois for greater awareness of health issues. She thinks doctors must meet patients where they are—increasingly, online—and learn about the various platforms where patients connect. Doctors can then suggest credible online sources for their patients' conditions. Learning about different sites takes time, Jain said, "but that's the nature of being a physician in this day and age."
At stake is the efficiency of doctor-patient interactions. "I like when patients bring in research," Jain said. "It opens up the dialogue and lets them inform the decision-making process." Richardson, the cancer survivor, agreed. "We shouldn't make the physician the villain in this conversation." Interviewed over Zoom, she was engaging but quick to challenge the assumptions behind some questions; her toughness was palpable, molded by years of fighting disease—and the healthcare system. Many doctors are forced by that system into faster office visits, she said. "If patients help their doctor get to the heart of the issue in a shorter time, now we're going down a narrower road of tests."
These conversations could be enhanced by PatientsLikeMe's Doctor Visit Guide. It uses algorithms to consolidate health data that members track on the site into a short report they can share with their physicians. "It gives the doctor a richer data set to really see how a person has been doing," said Renfro-Wallace.
Doctors aren't the only ones benefiting from these sites.
Who Profits?
A few platforms like Inspire make money by connecting their members to drug companies, so they can participate in the companies' clinical trials to test out new therapies. A cynic might say the sites are just fronts for promoting the pharmaceuticals.
The need is real, though, as many clinical trials suffer from low participation, and the experimental treatments can improve health. The key for Loew, Inspire's CEO, is being transparent about his revenue model. "When you sign up, we assume you didn't read the fine print [in the terms of agreement]." So, when Inspire tells members about openings in trials, it's a reminder the site works with pharma.
"When I was first on Inspire, all of that was invisible to me," said Leon. "It didn't dawn on me for years." Richardson believes many don't notice pharma's involvement because they're preoccupied by their medical issues.
One way Inspire builds trust is by partnering with patient advocacy groups, which tend to be nonprofit and science-oriented, said Craig Lipset, the former head of clinical innovation for Pfizer. When he developed a rare lung disease, he joined the board of a foundation that partners with Inspire's platform. The section dedicated to his disease is emblazoned with his foundation's logo and colors. Contrast that with other sites that build communities at the direct behest of drug companies, he said.
Insurance companies are also eyeing these communities. Last month, PatientsLikeMe raised $26 million in financing from investors including Optum Ventures, which belongs to the same health care company that owns a leading health insurance company, UnitedHealthcare. PatientsLikeMe is an independent company, though, and data is shared with UnitedHealth only if patients provide consent. The site is using the influx of resources to gamify improvements in health, resembling programs run by UnitedHealth that assign nutrition and fitness "missions," with apps for tracking progress. Soon, PatientsLikeMe will roll out a smarter data tracking system that gives members actionable insights and prompts them to take actions based on their conditions, as well as competitions to motivate healthier behaviors.
Such as a race to vaccinate, perhaps.
Dealing with Misinformation
An advantage of health-focused communities is the intimacy of their gatherings, compared to behemoths like Facebook. Loew, Inspire's head, is mindful of Dunbar's rule: humans can manage only about 150 friends. Inspire's social network mapping suggests many connections among members, but of different strength; Loew hopes to keep his site's familial ambiance even while expanding membership. Renfro-Wallace is exploring video and voice-only meetings to enrich the shared experiences on PatientsLikeMe, while respecting members' privacy.
But a main driver of growth and engagement online is appealing to emotion rather than reason; witness Facebook during the pandemic. "We know that misinformation and scary things spread far more rapidly than something positive," said Ann Lewandowski, the executive director of Wisconsin Immunization Neighborhood, a coalition of health providers and associations countering vaccine hesitancy across the state.
"Facebook's moderation mechanism is terrible," she said. Vaccine advocates in her region who try to flag misinformation on Facebook often have their content removed because the site's algorithm associates their posts with the distortions they're trying to warn people about.
In the realm of health, where accessing facts can mean life or death—and where ad-based revenue models conflict with privacy needs—there's probably a ceiling on how large social media sites should scale. Loew views Inspire as co-existing, not competing with Facebook.
Propagandists had months to perfect campaigns to dissuade people from mRNA vaccines. But even Lewandowski's doctor was misinformed about vaccine side effects for her condition, multiple sclerosis. She sees potential for health-focused sites to convene more virtual forums, in which patient advocacy groups educate doctors and patients on vaccine safety.
Inspire is raising awareness about COVID vaccines through a member survey with an interactive data visualization. Sampling thousands of members, the survey found vaccines are tolerated well among patients with cancer, autoimmune issues, and other serious conditions. Analytics for online groups are evolving quickly, said Lipset. "Think about the acceleration in research when you take the emerging capability for aggregating health data and mash it up with patients engaged in sharing."
Lipset recently co-founded the Decentralized Trials and Research Alliance to accelerate clinical trials and make them more accessible to patients—even from home, without risking the virus. Sites like PatientsLikeMe share this commitment, collaborating with Duke's ALS Clinic to let patients join a trial from home with just two clinic visits. Synthetic control groups were created by PatientsLikeMe's algorithms, eliminating the need for a placebo arm, enabling faster results.
As for Richardson, the ovarian cancer patient, being online has given her another type of access—to experts. She was diagnosed this year with breast cancer. "This time is totally different," she said. On Twitter, she's been direct messaging cancer researchers, whose replies have informed her disease-management strategy. When her oncologists prescribed 33 radiation treatments, she counter-proposed upping the dosage over fewer treatments. Her doctors agreed, cutting unnecessary trips from home. "I'm immuno-compromised," she said. "It's like Russian roulette. You're crossing your finger you won't get the virus."
After years of sticking up for her own health, Richardson is now positioned to look out for others. She collaborated with the University of Illinois Cancer Center on a training module that lets patients take control of their health. She's sharing it online, in a virtual community near you. "It helps you make intelligent decisions," she said. "When you speak your physician's language, it shifts the power in the room."
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.