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Record W1519379837

Diagnosis and management of patients with bipolar II disorder.

2005· article· en· W1519379837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHypomaniaBipolar disorderBipolar II disorderLamotrigineMood stabilizerManiaMoodPsychiatryPsychologyAntidepressantMajor depressive disorderTreatment of bipolar disorderLithium (medication)Depression (economics)Major depressive episodeClinical psychologyMedicineAnxietyEpilepsy
DOInot available

Abstract

fetched live from OpenAlex

Bipolar II disorder is frequently misdiagnosed as major depressive disorder. In particular, correct diagnosis of bipolar II disorder may be delayed by years due to the predominance of depressive symptoms and the relative subtlety of hypomania, which may manifest only briefly and without elevated mood. The prevalence of bipolar II disorder varies from 0.5% to about 5% depending on the criteria used. Diagnosis can be improved by using mood disorder questionnaires, systematic probing, and prospective mood diary charting. There is a dearth of research into treatment of bipolar disorder. The limited available evidence suggests that lithium and lamotrigine may have efficacy in preventing relapse of mood episodes. Acute bipolar II depression could be treated with a combination of a mood stabilizer plus an antidepressant or pramipexole and in rare cases with antidepressant monotherapy. Hypomania will likely respond to monotherapy with antimanic agents. Adjunctive psychosocial treatments may provide additional benefit in patients with bipolar II disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.203
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it