Artificial intelligence is giving researchers a new way to listen to what patients are saying about popular GLP-1 drugs. After analyzing more than 400,000 Reddit posts, a University of Pennsylvania team identified several symptoms reported by people using semaglutide (Ozempic, Wegovy, and Rybelsus) and tirzepatide (Mounjaro and Zepbound) that may not be fully represented in clinical trials or official regulatory information. The study, published recently in Nature Health, examined more than five years of posts from nearly 70,000 Reddit users.
Two categories stood out as particularly deserving of further investigation: reproductive symptoms, including changes in menstrual cycles, and problems involving body temperature, such as chills and hot flashes. The findings do not establish that the medications caused these symptoms. Instead, researchers say the massive collection of spontaneous patient reports may reveal signals worth examining more closely.
"Some of the side effects we found, like nausea, are well known, and that shows that the method is picking up a real signal," says Sharath Chandra Guntuku, Research Associate Professor in Computer and Information Science (CIS) at Penn Engineering and the study's senior author. "The underreported symptoms are leads that came from patients themselves, unprompted, and clinicians could potentially pay attention to them." What Patients Report Outside Clinical Trials Clinical trials are designed to determine whether treatments work and to identify important safety problems, but they cannot necessarily capture every symptom that matters to patients once a medication is being used by a much larger population. "Clinical trials generally identify the most dangerous side effects of drugs," adds Lyle Ungar, Professor in CIS and a co-author on the study.
"But they can fail to find what symptoms patients are most concerned about; even though social media is not necessarily representative, a large collection of posts may reflect additional concerns." The distinction is important. The study found associations in what people discussed online, not proof that GLP-1 drugs were responsible for those experiences. "We can't say that GLP-1s are actually causing these symptoms," notes Neil Sehgal, the study's first author and a doctoral student in CIS advised by Guntuku and Ungar.
"But nearly 4% of the Reddit users in our sample reported menstrual irregularities, which would be even higher in a female-only sample. We think that's a signal worth investigating." Using Social Media as an Early Health Signal The idea of mining online conversations for clues about drug safety predates today's AI boom. In 2011, Ungar participated in one of the earliest efforts to use material created by internet users to identify possible adverse effects from medications.
Social media can capture experiences that patients discuss with one another but may never formally report to a doctor, drug manufacturer, or regulator. "Online patient communities work a lot like a neighborhood grapevine," says Ungar. "People who are living with these medications are swapping notes with each other in real time, sharing experiences that rarely make it into a doctor's office visit or an official report." Since then, online patient communities have expanded enormously.
Extract — continue reading at the source.
