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Record W2128545281

Complementary and alternative medicine for the treatment of major depressive disorder.

2011· article· en· W2128545281 on OpenAlexaff
Richard Nahas, Osmaan Sheikh

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineMeta-analysisRandomized controlled trialDepression (economics)AcupunctureClinical trialOmega 3 fatty acidMajor depressive disorderPlaceboAntidepressantInternal medicinePsychiatryAlternative medicineFatty acidAnxietyPolyunsaturated fatty acidDocosahexaenoic acidBiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the clinical evidence supporting complementary and alternative medicine interventions for treating major depressive disorder. QUALITY OF EVIDENCE: PubMed was searched from January 1966 to February 2010 using the term depressive disorder in combination with St John's wort, S-adenosylmethionine (SAM-e), exercise, acupuncture, omega-3 fatty acids, and folate. Only relevant human trials were selected. MAIN MESSAGE: In a large meta-analysis, St John's wort was found to be equivalent to antidepressant drugs with fewer side effects. Exercise reduced depressive scores in 3 meta-analyses. Omega-3 fatty acids reduced depressive scores in a meta-analysis of 16 trials, but publication bias was identified. Oral SAM-e monotherapy reduced depressive scores in 4 of 5 small randomized controlled trials. Folate deficiency is associated with more severe and refractory depression, and supplementation reduced depressive scores in 2 of 3 randomized controlled trials. Acupuncture demonstrated limited efficacy in 1 meta-analysis and 5 other trials. CONCLUSION: St John's wort and regular exercise appear effective in the treatment of depression. Acupuncture appears ineffective for depression, but it might offer other health benefits. Other promising therapies include SAM-e, omega-3 fatty acid, and folic acid supplementation in selected patients; further study is warranted.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.174

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 head0.097
GPT teacher head0.282
Teacher spread0.184 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations61
Published2011
Admission routes1
Has abstractyes

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