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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 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)0.014
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0160.031
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 source (direct Gemma or distilled Codex), 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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