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Record W4399447169 · doi:10.1016/j.hermed.2024.100900

Vitex agnus-castus (VAC) plant commonly used in Aydın province, Turkey: women's menstrual and menopausal symptoms

2024· article· en· W4399447169 on OpenAlexaff
Serpil Abalı Çetin, Fatma Mutlu

Bibliographic record

VenueJournal of Herbal Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMenstruationMedicineGynecologyTraditional medicineObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Introduction This study was conducted to evaluate the effects of using Vitex agnus-castus (VAC) plant on menstrual and menopausal symptoms in district where VAC is commonly used. Methods The menstrual and menopausal symptoms of a total of 225 women aged between 18-65, living in Aydın province, Turkey, and its districts, who either used VAC or not were compared, following purposive sampling method. The research data were collected with an online survey form between March and December 2021. The data collected from the women in the VAC group (n=104, 46.2%) and the women in the non-VAC (n=121, 53.8%) group were compared in this study. Results It was found that the rate of experiencing symptoms before menstruation was higher in women who did not take VAC compared to the women who took VAC ( P < 0.05). Almost all of those who experienced menopausal symptoms were in the group that did not take VAC. Conclusion The type, duration and time of VAC use were associated with the effect of menstruation on daily life, but not with menopausal symptoms.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.028
GPT teacher head0.348
Teacher spread0.319 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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