“Cade's Disease” and Beyond: Misdiagnosis, Antidepressant Use, and a Proposed Definition for Bipolar Spectrum Disorder
Bibliographic record
Abstract
The diagnosis and treatment of bipolar disorder (BD) has been inconsistent and frequently misunderstood in recent years. To identify the causes of this problem and suggest possible solutions, we undertook a critical review of studies concerning the nosology of BD and the effects of antidepressant agents. Both the underdiagnosis of BD and its frequent misdiagnosis as unipolar major depressive disorder (MDD) appear to be problems in patients with BD. Underdiagnosis results from clinicians' inadequate understanding of manic symptoms, from patients' impaired insight into mania, and especially from failure to involve family members or third parties in the diagnostic process. Some, but by no means all, of the underdiagnosis problem may also result from lack of agreement about the breadth of the bipolar spectrum, beyond classic type I manic-depressive illness (what Ketter has termed "Cade's Disease"). To alleviate confusion about the less classic varieties of bipolar illness, we propose a heuristic definition, "bipolar spectrum disorder." This diagnosis would give greater weight to family history and antidepressant-induced manic symptoms and would apply to non-type I or II bipolar illness, in which depressive symptom, course, and treatment response characteristics are more typical of bipolar than unipolar illness. The role of antidepressants is also controversial. Our review of the evidence leads us to conclude that there should be less emphasis on using antidepressants to treat persons with this illness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".