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Record W2004271942 · doi:10.1089/acu.2009.0701

Acupuncture and Menopausal Hot Flashes

2009· article· en· W2004271942 on OpenAlexaff
France Guévin, Bernard Lambert

Bibliographic record

VenueMedical Acupuncture · 2009
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAcupunctureHot flashMedicinePhysical therapyMenopauseGynecologyAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: The activities regarding work, sports, and hobbies of a menopausal woman predominantly belong to the Yang principle. Hormones and their changes belong to the Yin (Xue) principle. The balance of Yin/Yang principles needs to be restored with acupuncture treatment and adjustment of lifestyle to control hot flashes. Objective: To report the possible effectiveness of acupuncture in the treatment of hot flashes. Design, Setting, and Patients: Two patients were treated with acupuncture for hot flashes in a private clinic setting. Intervention: Patients were treated for both their presenting complaints and hot flashes with acupuncture. Main Outcome Measure: Hot flash intensity was quantitatively evaluated. Results: Both patients experienced symptom resolution with acupuncture. Patient 1 experienced a 98% decrease in hot flashes, and patient 2 also had a quick, durable remission. Conclusions: Acupuncture may offer an alternative treatment to control menopausal hot flashes, particularly when hormone therapy is contraindicated or refused.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.018
GPT teacher head0.316
Teacher spread0.298 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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