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Record W4392458746 · doi:10.26685/urncst.456

The Association Between Dietary Phytoestrogens and Endometriosis Development

2024· article· en· W4392458746 on OpenAlexaffabout
Mohadesseh Pakzamir, Neville Mitchell

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhytoestrogensEndometriosisAssociation (psychology)MedicineInternal medicinePsychologyEstrogenPsychotherapist

Abstract

fetched live from OpenAlex

Introduction: This study aims to investigate the relationship between phytoestrogens and endometriosis development. Endometriosis results from uterine-like endometrial and stromal cells growing outside the uterus. People with endometriosis typically experience chronic inflammation, pelvic pain, and infertility resulting in lowered quality of life. Due to their structural similarities, phytoestrogens present in diets possess the ability to mimic the activity of estrogen and influencae endometriosis development. Method: To better understand the role phytoestrogen plays in the development of endometriosis, a prospective clinical cohort study is proposed. The study will be conducted with a sample population of 196 participants lasting for six years. Participants will be recruited if they are present with endometriosis on ultrasound and are confirmed through laparoscopy. Participants will be provided with a questionnaire describing the amount of phytoestrogen-containing food in their diets. This data will be compared against Agriculture-Agri-Food Canada to determine the relative concentration/amount of phytoestrogen in participants' diet foods. The participants will be divided into groups, with the exposed group being provided with recommendations on high phytoestrogen-based foods to incorporate into their daily diet and the unexposed group foods to avoid. Participants’ diets will be analyzed every six months and lesion location, size and phenotype will be assessed via ultrasound. Analysis of variance will be used to determine lesion size, location and phenotypes, paired t-test to determine inflammatory marker protein concentration and p-test to dictate statically significant results. Anticipated Results: It is expected that participants with high amounts of phytoestrogen-containing foods in their diet will present a continual development of endometrial lesions while unexposed participants will present a decrease in endometrial lesion development. Conclusion: Based on the expected results, dietary phytoestrogen may lead to the development of endometriosis. As a result, women and dietitians should consider the effect of phytoestrogen-based foods when preparing diets. Future research should be conducted to assess phytoestrogen-containing foods to reap the nutritional benefits of these foods but also minimize endometrial lesions growth.

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)0.012
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.077
GPT teacher head0.438
Teacher spread0.360 · 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.

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

Citations3
Published2024
Admission routes2
Has abstractyes

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