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Record W112449204

Efficacy of black cohosh-containing preparations on menopausal symptoms: a meta-analysis.

2010· article· en· W112449204 on OpenAlexaff
Taghreed Shams, Maninder Singh Setia, Robert Hemmings, Jane McCusker, Maida Sewitch, Antonio Ciampi

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsMcGill UniversitySt Mary's Hospital Centre
Fundersnot available
KeywordsBlack cohoshMedicinePlaceboMeta-analysisVasomotorTraditional medicineRandomized controlled trialCochrane LibraryClinical trialConfidence intervalInternal medicineMEDLINEMenopauseAlternative medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to review the evidence on the efficacy of herbal preparations containing black cohosh for the treatment of menopausal symptoms. A systematic search of three databases (PubMed, Embase, and Cochrane library) was conducted to identify relevant literature. Two reviewers independently abstracted the data from the eligible studies. Of the 288 English language citations screened, nine randomized placebo-controlled trials were included. Among these trials, six demonstrated a significant improvement in the black cohosh group compared with the placebo group. Using data from seven trials, we calculated a combined estimate for the change in menopausal vasomotor symptoms. Preparations containing black cohosh improved these symptoms overall by 26% (95% confidence interval 11%-40%); there was, however, significant heterogeneity between these trials. Given that black cohosh is one of the most frequently used herbal medications for menopausal vasomotor symptoms in North America, more data are warranted on its effectiveness and safety.

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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.069
GPT teacher head0.341
Teacher spread0.272 · 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 designMeta-analysis
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

Citations54
Published2010
Admission routes1
Has abstractyes

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