Dr Rangan ChatterjeeDoctor SPEAKS OUT: "They're Quietly Labeling You Sick—Even When You're Not" | Suzanne O'Sullivan
CHAPTERS
From under-diagnosis to over-correction: why “more diagnosis” isn’t always better
Suzanne O’Sullivan frames the central argument of her book: medicine has corrected past neglect (e.g., learning needs, mental health, chronic disease) but may now be over-correcting. The conversation sets up the idea that rising diagnosis rates can reflect changing definitions and medical culture—not necessarily a sicker population.
What over-diagnosis actually means: “Is the diagnosis helping you?”
O’Sullivan clarifies that over-diagnosis is not “nothing is wrong,” but rather that a medical label may not be the most helpful response to genuine struggle. The emphasis shifts from diagnostic correctness to clinical usefulness and downstream consequences.
Case story: diagnosing a teen early—when a “true” diagnosis becomes a burden
O’Sullivan recounts diagnosing a rare genetic neurodegenerative condition in a patient (Stephanie) and then her seemingly healthy 15-year-old daughter (Abigail). Although clinically impressive and technically correct, she questions whether diagnosing Abigail so early improved her life—or unnecessarily turned her into a patient.
How labels change bodies: attention, nocebo effects, and symptom amplification
Using Abigail’s later reflection, the discussion explores how being told something is wrong can reshape bodily awareness. The core idea: diagnosis is not neutral—labels can intensify symptom monitoring and reinforce illness behaviors.
Huntington’s without the gene: when fear and expectation create “symptoms”
A powerful story follows Valentina, who learns her mother has Huntington’s and lives for years under the shadow of a 50/50 risk. She develops convincing symptoms—only to discover decades later her genetic test is negative, illustrating how belief and anxiety can shape experience.
Why “good medicine” is often slow: listening, follow-up, and selective testing
O’Sullivan and Chatterjee argue that high-quality care is not simply ordering tests; it’s careful history-taking, examination, time, and watchful waiting when appropriate. They discuss how language in reports (e.g., “degeneration,” incidental “arthritis”) can inadvertently harm patients.
System pressures: lost community supports, patient expectations, and label-dependent pathways
The conversation expands to societal and structural forces that push people toward medicalization. As community, family, and religious supports decline, doctors become default counselors—but the healthcare system often requires labels to unlock services.
Hyper-specialization and “diagnosis stacking”: when no one sees the whole patient
O’Sullivan critiques the fragmentation of modern care: clinicians narrowly focus on organs, subsystems, or single diseases. This can lead to multiple diagnoses explaining the same symptom and growing polypharmacy, without clear improvement in patient outcomes.
Lowering thresholds, expanding risk labels: blood pressure, pre-diabetes, and primary prevention trade-offs
They examine how changing cutoffs and “risk states” convert large parts of the population into patients. The key tension: prevention can help some, but may medicalize—and sometimes harm—many others through side effects, anxiety, costs, and identity shifts.
Cancer screening and over-treatment: why finding abnormal cells isn’t the same as saving lives
O’Sullivan explains how screening uncovers abnormalities that may never become dangerous. Because medicine can’t reliably distinguish indolent from aggressive disease early, screening can lead to overtreatment, anxiety, and invasive procedures for cancers that may never have mattered.
Autism’s expanding definition: support vs stigma, and what counts as “disorder”
They explore autism’s diagnostic evolution—from “extreme autistic aloneness” to a broad spectrum that now includes many mild presentations. O’Sullivan questions whether expanding criteria is improving downstream wellbeing, and highlights both the benefits (for severe disability) and harms (self-limiting beliefs, stigma) of labeling milder cases.
Genetics, AI, and direct-to-consumer testing: powerful tools with high misinterpretation risk
The discussion turns to modern diagnostic technology—genetic risk, BRCA, APOE4, and AI interpretation. O’Sullivan warns that tests developed in high-risk clinical groups can mislead when applied to the general population, and that consumer genetic testing can create false reassurance or unnecessary alarm—affecting entire families.
Illness identity vs recovery identity: community support that can trap people in symptoms
They examine how diagnoses can become identities, sometimes deepening symptoms and healthcare use. Stories include research on “engulfment” in cardiomyopathy and Paul Garner’s long COVID recovery journey, emphasizing that recovery often requires a believable future narrative—not constant symptom monitoring.
Closing message: preserve “any kind of future” through careful labeling and better consultations
O’Sullivan closes with a nuanced call: help people—especially young people—without unnecessarily shrinking their futures through premature or overly rigid labels. For clinicians, the main corrective is returning to core clinical skills: time, listening, whole-person thinking, and using technology to support (not replace) human care.
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