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Record W2322595612 · doi:10.1097/jcp.0b013e318267b8ca

Add-on Treatment of Quetiapine for Fibromyalgia

2012· article· en· W2322595612 on OpenAlexaff
Stéphane Potvin, Mélanie Morin, Christian Cloutier, Alain Gendron, Alain Bissonnette, Serge Marchand

Bibliographic record

VenueJournal of Clinical Psychopharmacology · 2012
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversité LavalAstraZeneca (Canada)Université de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsQuetiapineFibromyalgiaTolerabilityMedicinePlaceboQuetiapine FumarateMoodRandomized controlled trialAtypical antipsychoticChronic painPsychiatryAntipsychoticInternal medicinePhysical therapyAdverse effectAlternative medicineSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Recently, second-generation antipsychotic drugs have attracted interest in the treatment of chronic pain, including fibromyalgia (FM). Preliminary uncontrolled studies have shown that quetiapine treatment may be helpful for FM patients. In this trial, we sought to examine-for the first time-the efficacy and tolerability of quetiapine as a treatment for FM and its associated psychiatric symptoms. This was a 12-week double-blind, randomized, placebo-controlled trial of quetiapine XR as an add-on treatment for FM syndrome. Fifty-one female FM patients were randomized, and a flexible dosage of 50 to 300 mg/d was used. The primary outcome was the change from baseline to end point in the Fibromyalgia Impact Questionnaire total score. Secondary outcomes included mood symptoms, sleep disturbances, and tender points. Using a low dose (mean = 132.2 mg) of quetiapine, we observed significant benefits of drug treatment on sleep, uncertain effects on FM and mood symptoms, but no effects on pain, in a small group of polymedicated FM patients. Quetiapine was generally well tolerated.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.141
GPT teacher head0.519
Teacher spread0.378 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations31
Published2012
Admission routes1
Has abstractyes

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Same venueJournal of Clinical PsychopharmacologySame topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207