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Record W2339862364 · doi:10.7249/rr1048

St. John's Wort for Major Depressive Disorder: A Systematic Review

2015· review· en· W2339862364 on OpenAlexaboutno aff
Alicia Ruelaz Maher, Susanne Hempel, Eric Apaydin, Roberta Shanman, Marika Booth, Jeremy N. V. Miles, Melony E. Sorbero

Bibliographic record

VenueRAND Corporation eBooks · 2015
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPlaceboAdverse effectHyperforinMajor depressive disorderMeta-analysisMedicineRandomized controlled trialAntidepressantDepression (economics)Clinical trialHypericum perforatumPsychiatryInternal medicineAlternative medicineTraditional medicineAnxietyCognition

Abstract

fetched live from OpenAlex

RAND researchers conducted a systematic review that synthesized evidence from randomized controlled trials of St. John's wort (SJW)-used adjunctively or as monotherapy-to provide estimates of its efficacy and safety in treating adults with major depressive disorder. Outcomes of interest included changes in depressive symptomatology, quality of life, and adverse effects. Efficacy meta-analyses used the Hartung-Knapp-Sidik-Jonkman method for random-effects models. Quality of evidence was assessed using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. In total, 35 studies met inclusion criteria. There is moderate evidence, due to unexplained heterogeneity between studies, that depression improvement based on the number of treatment responders and depression scale scores favors SJW over placebo, and results are comparable to antidepressants. The existing evidence is based on studies testing SJW as monotherapy; there is a lack of evidence for SJW given as adjunct therapy to standard antidepressant therapy. We found no systematic difference between SJW extracts, but head-to-head trials are missing; LI 160 (0.3% hypericin, 1-4% hyperforin) was the extract with the greatest number of studies. Only two trials assessed quality of life. SJW adverse events reported in included trials were comparable to placebo, and were fewer compared with antidepressant medication; however, adverse event assessments were limited, and thus we have limited confidence in this conclusion.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.875
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.075
GPT teacher head0.328
Teacher spread0.253 · 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 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

Citations15
Published2015
Admission routes1
Has abstractyes

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