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Record W211088271 · doi:10.1177/070674370605101008

Book Review: Mood Disorders: Advances in Treatment of Bipolar Disorder

2006· article· en· W211088271 on OpenAlexvenueno aff
Roumen Milev

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsManiaDivalproexBipolar disorderMoodPsychiatryLamotriginePsychologyCarbamazepineMood disordersPsychotherapistDepression (economics)Lithium (medication)Treatment of bipolar disorderMedicineAnxietyEpilepsy

Abstract

fetched live from OpenAlex

Mood Disorders Advances in Treatment of Bipolar Disorder Terence A Ketter, editor. Washington (DC): American Psychiatric Publishing; 2005. 261 p. US$34.95. Reviewer rating: Excellent This book is the third of the well-established Review of Psychiatry Series, Volume 24. It is written by 20 eminent US researchers in the field. The purpose of the book is to evaluate and summarize treatment approaches for patients with bipolar disorder (BD). The book is aimed primarily at physicians treating patients with BD, but will also be useful for mental health professionals, students, researchers, and administrators. The book is divided into 7 chapters. Chapter 1 is an introductory chapter summarizing the developments of treatments for BD since the first report for the efficacy of lithium in acute mania in 1949. Chapter 1 contains tables listing different agents approved for BD in the United States as well as controlled studies for acute mania and depression with various psychopharmacological agents. Chapter 2 deal with the treatment of acute mania in BD. It is 44 pages long and has 101 references. Special subsections are devoted to treatments with lithium, divalproex, carbamazepine, newer antipsychotics, newer anticonvulsants, and benzodiazepines. This chapter examines several studies in detail and also has 2 useful figures that compare the response rates of 15 monotherapy studies with placebo as well as 5 combination therapy studies with mood stabilizers alone. Comparison response rates of mood stabilizers and atypical antipsychotics are also listed. In Chapter 3, Gary Sachs thoroughly elaborates on the treatment of acute depression in BD. The chapter is 53 pages long and has 99 references. At the beginning of the chapter, Sachs emphasizes the public health significance of bipolar depression. He also lists categories of evidence for widely used psychotropics and their response rates. There is a brief review of studies specifically examining lithium and lamotrigine. Sachs reviews the role of electroconvulsive therapy and some novel therapeutics such as adjunctive stimulants, dopamine receptor agonists, omega-3 fatty acids, phototherapy, magnetic stimulation, and sleep deprivation. He also examines the question of treatment-emergent affective switch and cycle acceleration owing to antidepressants. Sachs reviews practical clinical strategies for the management of bipolar depression in detail and includes a useful table listing different decision points and the initial management recommendations. Chapter 4 reviews the long-term management of BD. It is 35 pages with 82 references. …

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.065
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0650.060

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 head0.005
GPT teacher head0.247
Teacher spread0.242 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

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