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Does the Effect of Soy Phytoestrogens on Bone in Postmenopausal Women Depend on the Equol-Producing Phenotype?

2008· review· en· W4232715632 on OpenAlexaff
Hassanali Vatanparast, Philip D. Chilibeck

Bibliographic record

VenueNutrition Reviews · 2008
Typereview
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhytoestrogensEquolIsoflavonesSOY ISOFLAVONESBone remodelingPostmenopausal womenMedicineOsteoporosisPhenotypeInternal medicineMenopauseEndocrinologyPhysiologyDaidzeinGenisteinBiologyEstrogenBiochemistry

Abstract

fetched live from OpenAlex

Plant-derived phytoestrogens are considered to be an alternative therapy for the prevention and control of bone loss in postmenopausal women. However, there are contradictory findings among clinical studies in the efficacy of soy isoflavones on bone metabolism in postmenopausal women. Inter-individual differences in gut bacteria metabolism of isoflavones to produce equol (the equol-producing phenotype) might partly explain these discrepancies. Among several trials in this area of research, few studies took the equolproducing phenotype into consideration, and those studies support the importance of this phenotype in the effect of soy isoflavones on bone health among post-menopausal women. Greater consideration of the equol-producing phenotype in the design of studies investigating the effect of soy isoflavones on bone health of postmenopausal women may provide more useful information.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.935
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.363
Teacher spread0.313 · 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

Citations30
Published2008
Admission routes1
Has abstractyes

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