MétaCan
Menu
Back to cohort
Record W4309671673 · doi:10.26685/urncst.434

Examining Effects of Metformin on Live Birth Rate in PCOS-Induced Mice: A Research Protocol

2022· article· en· W4309671673 on OpenAlexaff
Sidra Bharmal

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsMetforminPregnancyPolycystic ovaryAnovulationLive birthPregnancy rateMedicineInfertilityOvulation inductionHyperandrogenismOvulationLuteinizing hormoneGynecologyEndocrinologyInternal medicineObstetricsInsulin resistanceDiabetes mellitusHormoneBiology

Abstract

fetched live from OpenAlex

Introduction: Polycystic Ovary Syndrome (PCOS) is the prevailing endocrinopathy of women of reproductive age. With insulin resistance as a key feature of the disorder, metformin has been observed to improve ovulation induction, anovulatory infertility, and hyperandrogenic symptoms. Some hesitancy to prescribe this medication can be attributed to its possible contribution to pregnancy loss. This research protocol investigates the effect of metformin therapy on live birth rates (LBRs) to deduce its efficacy extending beyond fertility for pregnancy success. Congenital anomalies and birth weights are also evaluated. Methods: A transgenic C57BL/6 mouse model is adopted using the bovine luteinizing hormone beta subunit (LHβ) gene to induce a high expression of LH and subsequently lead to PCOS-like symptoms. At first anovulation detection, metformin therapy is administered to the experimental mice. At 26 days, artificial insemination is conducted to induce pregnancy. The experimental mice are divided into three sections: the first terminating metformin treatment at fertilization (MetF), the second at the end of the first trimester (MetT1), and the last extending throughout pregnancy (MetT2). Results: It is hypothesized that MetT2 mice will yield a higher LBR than those without continuous metformin treatment, with the MetF group producing the lowest rate of all mice provided with the drug. Furthermore, the control group should noticeably differ in LBR compared to the experimental group. Congenital anomalies and birth weights are expected to remain unchanged regardless of treatment. Discussion: The currently available information regarding metformin’s influence on LBR is inconsistent, but it is reasonable to conclude that there will be some improvement. Fetal outcomes have been less explored. Conclusion: By comparing LBRs, congenital anomalies, and birth weights, this experiment can expose the most advantageous duration of metformin administration. Future directions should include combining with other pharmacological therapies and investigating metformin effects on LBR using different animal models.

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)0.004
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.004

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 head0.127
GPT teacher head0.467
Teacher spread0.339 · 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 designBench or experimental
Domainnot available
GenreProtocol

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) JournalSame topicOvarian function and disordersFrench-language works237,207