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Record W4226348878 · doi:10.31083/j.ceog4903078

A patient and physician friendly stimulation protocol using long acting FSH and progestin priming should be the future of IVF

2022· article· en· W4226348878 on OpenAlexaff
Einav Kadour‐Peero, Michael H. Dahan

Bibliographic record

VenueClinical and Experimental Obstetrics & Gynecology · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineOvarian hyperstimulation syndromeOvulationIn vitro fertilisationOvulation inductionFollicular phaseGonadotropinInfertilityGynecologyHormonePregnancyInternal medicineBiology

Abstract

fetched live from OpenAlex

Objective: Needle phobias and concern about the discomfort remain significant disincentives for many women contemplating in vitro fertilization (IVF). The number of injections required in an IVF cycle is increased by the use of most medications which prevent premature ovulation. Mechanism: long-acting follicular stimulation hormone (LA-FSH) that was developed 15 years ago has the ability to stimulate folliculogenesis in a patient for seven days with a single injection, with comparable outcomes to daily injections in assisted reproduction. Many clinicians were hesitated to use it in their patients, fearing an inability to decrease levels of FSH stimulation for 7 days and the resultant increased risks of ovarian hyperstimulation syndrome (OHSS). This occurred prior to the widespread adoption of Gonadotropin-releasing hormone (GnRH)-agonist triggering and freeze all embryos for the prevention of OHSS. Conclusions: We suggest LA-FSH protocol with the use of progestins to prevent ovulation, which could be an alternative way to treat IVF patients without any compromise of the effectiveness of the treatments or the safety of the patients.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.069
GPT teacher head0.383
Teacher spread0.314 · 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 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
Published2022
Admission routes1
Has abstractyes

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