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Record W2556053471 · doi:10.1159/000452665

Clomiphene Citrate versus Letrozole for Ovarian Stimulation in Therapeutic Donor Sperm Insemination

2016· article· en· W2556053471 on OpenAlexaffabout
Hady El Hachem, Roland Antaki, Camille Sylvestre, Isaac-Jacques Kadoch, Louise Lapensée, Pierre Bouet

Bibliographic record

VenueGynecologic and Obstetric Investigation · 2016
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsLetrozoleMedicineIntrauterine inseminationInseminationGynecologyStimulationClomifeneInfertilityAndrologySpermOvulationOvulation inductionTamoxifenPregnancyInternal medicineBiologyHormone

Abstract

fetched live from OpenAlex

AIM: To compare clomiphene citrate (CC) and letrozole for ovarian stimulation (OS) in therapeutic donor sperm insemination (TDI) cycles. METHODS: Retrospective cohort study between January 2011 and June 2014 at a University-affiliated private IVF clinic in Montreal, Canada. 257 normo-ovulatory women ≤40 years of age with no history of infertility undergoing 590 TDI cycles in the absence of a male partner (single women and same-sex couples) or azoospermia were included. Patients received 100 mg CC daily (145 women, 321 cycles) or letrozole 5 mg daily (112 women, 269 cycles), from days 3 to 7. Only the first 3 cycles were included per patient. Our main outcome measure was cumulative live birth rates (LBR). RESULTS: Baseline characteristics were comparable between the 2 groups. There were no differences in LBR per cycle (16.5% (53/321) vs. 11.5% (31/269), p = 0.08) and cumulative LBR (36.6% (53/145) vs. 27.7% (31/112), p = 0.13), between CC and letrozole, respectively. Multiple pregnancy rate (11.6% (8/69) vs. 8.7% (4/46), p = 0.6) and miscarriage rate (21.7 vs. 21.7%, p = 1) were also comparable between CC and letrozole, respectively. CONCLUSION: In normo-ovulatory women undergoing TDI, OS with CC or letrozole resulted in similar live birth and twin pregnancy rates.

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)0.002
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 score0.453
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.042
GPT teacher head0.269
Teacher spread0.227 · 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

Citations7
Published2016
Admission routes2
Has abstractyes

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