Text Dr. Lenz any feedback or questions

The Hidden Fibromyalgia Epidemic: How Bias Leaves Millions Undiagnosed—and How AI Can Help

The script explains fibromyalgia as a chronic, long-term condition marked by widespread pain, profound fatigue, cognitive difficulties (“fibro fog”), and related mood issues, affecting an estimated 2–4% of the U.S. population (7–14 million) but potentially far more due to underdiagnosis. It describes how the condition is often missed because it is “invisible,” lacks definitive objective tests, and commonly leaves patients in diagnostic limbo for about five years while being dismissed as stressed, depressed, or imagining symptoms. Although the 2016 American College of Rheumatology criteria rely on the Widespread Pain Index and Symptom Severity Score, the script argues diagnosis often fails at the moment clinicians don’t suspect fibromyalgia—driven by longstanding gender and age stereotypes that frame it as a middle-aged women’s disease. It highlights research showing that unbiased application of criteria yields a much closer gender split (about 59% female, 41% male), and that many more men report symptoms than receive diagnoses. The script centers on a study of over 21,000 pain-clinic patients who completed tablet questionnaires with a digital body map; an AI clustered pain patterns into nine groups and identified a “widespread heavy” cluster strongly associated with fibromyalgia, where patients were nearly 30 times more likely to have a fibromyalgia diagnosis than those with low back pain. Yet more than two thirds of patients flagged by the AI lacked a clinical fibromyalgia diagnosis; an objective “informatics proxy” applying the formal criteria found 66.3% of the widespread-heavy cluster met diagnostic criteria, while only 22.4% were diagnosed. The missed patients were more likely to be male and older, demonstrating diagnostic bias. Extrapolating from these findings, the script suggests the true U.S. population meeting criteria could be 21–42 million. It proposes integrating digital body maps and machine-learning alerts into clinic workflows to prompt unbiased evaluation, while emphasizing existing tools already work if applied. The script also frames fibromyalgia as nociplastic pain (central nervous system hypersensitivity), w

Support the show

When I started this podcast and YouTube Channel—and the book that came before it—I had my patients in mind. Office visits are short, but understanding complex, often misunderstood conditions like fibromyalgia takes time. That’s why I created this space: to offer education, validation, and hope. If you’ve been told fibromyalgia “isn’t real” or that it’s “all in your head,” know this—I see you. I believe you. This podcast aims to affirm your experience and explain the science behind it. Whether you live with fibromyalgia, care for someone who does, or are a healthcare professional looking to better support patients, you’ll find trusted, evidence-based insights here, drawn from my 29+ years as an MD.

Please remember to talk with your doctor about your symptoms and care. This content doesn’t replace per...