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Record W4403563773 · doi:10.1016/j.advnut.2024.100327

Effect of Soy Isoflavones on Measures of Estrogenicity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

2024· review· en· W4403563773 on OpenAlexafffund
Gabrielle Viscardi, Songhee Back, Amna Ahmed, Shuting Yang, Sonia Blanco Mejía, Andreea Zurbau, Tauseef Khan, Amanda Selk, Mark Messina, Cyril W.C. Kendall, David J.A. Jenkins, John L. Sievenpiper, Laura Chiavaroli

Bibliographic record

VenueAdvances in Nutrition · 2024
Typereview
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsMount Sinai HospitalWomen's College HospitalUniversity of TorontoSt. Michael's Hospital
FundersInstitute of Nutrition, Metabolism and DiabetesOntario Ministry of Research and InnovationAgriculture and Agri-Food CanadaCanadian Society of Endocrinology and MetabolismEuropean Association for the Study of DiabetesGovernment of CanadaCanola Council of CanadaCoca-Cola FoundationUnited Soybean BoardLoblaw Companies LimitedAlberta Pulse Growers CommissionNational Honey BoardInternational Nut and Dried Fruit CouncilInstitute for the Advancement of Food and Nutrition SciencesAlmond Board of CaliforniaDiabetes CanadaDanoneSoy Nutrition InstituteArizona State UniversityUniversity of ChicagoSt. Michael's Hospital FoundationAlpro FoundationCanadian Nutrition SocietyPeanut InstituteCanadian Institutes of Health ResearchPepsiCoU.S. Department of AgricultureKellogg'sAbbott LaboratoriesCalifornia Strawberry CommissionHerbalife NutritionGeneral MillsHospital for Sick ChildrenDanish Cancer Society Research CenterCanadian Diabetes Association
KeywordsIsoflavonesMeta-analysisRandomized controlled trialSOY ISOFLAVONESMedicineSystematic reviewMEDLINEInternal medicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

Despite recommendations to increase plant food consumption for public and planetary health and the role that soy foods can play in plant-predominant diets, controversies around the effects of soy foods, especially soy isoflavones, are a barrier to their intake. Given their cardioprotective effects and ability to alleviate menopausal symptoms, addressing these concerns is particularly relevant to women. This systematic review and meta-analysis of randomized controlled trials aimed to determine the effect of soy isoflavones on measures of estrogenicity in postmenopausal women. MEDLINE, Embase, and Cochrane Library were searched through August 2024 for randomized trials ≥ 3-mo investigating soy isoflavones compared with non-isoflavone controls in postmenopausal women. Outcomes included endometrial thickness (ET), vaginal maturation index (VMI), follicle-stimulating hormone (FSH), and estradiol. Independent authors extracted data and assessed risk of bias. Grading of Recommendations, Assessment, Development and Evaluation was used to assess certainty of evidence. We included 40 trials (52 trial comparisons, n = 3285) assessing the effect of a median reported dose of 75 mg/d of soy isoflavones in substitution for non-isoflavone controls over a median of 24 wk. Soy isoflavones had no statistically significant effect on any measure of estrogenicity; ET [mean difference, –0.22 mm (95% confidence interval, –0.45, 0.01 mm), P MD = 0.059], VMI [2.31 (–2.14, 6.75), P MD = 0.310], FSH [–0.02 IU/L (–2.39, 2.35 IU/L), P MD = 0.987], and estradiol [1.61 pmol/L (–1.17, 4.38 pmol/L), P MD = 0.256]. The certainty of evidence was high to moderate for all outcomes. Current evidence suggests that soy isoflavones do not exhibit estrogenic effects compared with non-isoflavone controls on 4 measures of estrogenicity in postmenopausal women. This synthesis supports that soy isoflavones likely act as selective estrogen receptor modulators, differing clinically from the hormone estrogen. Addressing public health concerns may promote soy foods as high-quality plant protein sources with low environmental impact and cost, particularly benefiting postmenopausal women and aligning with sustainable dietary patterns and guidelines. This study was registered in PROSPERO as CRD42023439239.

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)0.025
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.463
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0780.015
Bibliometrics0.0020.001
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 head0.105
GPT teacher head0.473
Teacher spread0.368 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations18
Published2024
Admission routes2
Has abstractyes

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