MétaCan
Menu
Back to cohort
Record W4411744032 · doi:10.1093/humrep/deaf097.545

P-237 Does PPOS improve oocyte yield at the cost of DNA Integrity? Clinical implications from a comparative study with the antagonist protocol

2025· article· en· W4411744032 on OpenAlexaboutno aff
Mélanie Chow-Shi-Yée, N Moussaoumay, Eva Kadoch, S Phillips, Isaac-Jacques Kadoch

Bibliographic record

VenueHuman Reproduction · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsnot available
Fundersnot available
KeywordsOocyteYield (engineering)Protocol (science)AntagonistMedicineBiologyGeneticsInternal medicineMaterials sciencePathologyEmbryo

Abstract

fetched live from OpenAlex

Abstract Study question Does PPOS lead to higher oocyte yield and euploid conversion rates compared to the antagonist protocol, and does it compromise oocyte DNA integrity? Summary answer PPOS increases mature oocyte yield and euploid conversion rates per oocyte, but higher segmental aneuploidy rates raise concerns about potential DNA damage, warranting further investigation. What is known already Progestin-Primed Ovarian Stimulation (PPOS) is a viable alternative to antagonist protocols, offering cycle scheduling flexibility with comparable pregnancy outcomes. While some studies suggest similar embryological outcomes, limited data exist on oocyte quality, euploid conversion efficiency, and potential DNA damage. Understanding whether PPOS enhances oocyte retrieval while preserving DNA integrity is critical for optimizing individualized ovarian stimulation protocols. Study design, size, duration This retrospective cohort study was conducted at Ovo Clinic, a university-affiliated private fertility center in Montreal, Canada, analyzing 449 IVF with PGT-A cycles performed in 2023 and 2024, comparing 24 PPOS cycles with 425 antagonist cycles under the same laboratory and clinical conditions. Participants/materials, setting, methods Patients were categorized into PPOS (n = 24) and antagonist (n = 425) groups. Parameters assessed included baseline age, AMH, mature oocyte yield, euploid embryo rates, and aneuploidy rates. Quantitative variables were compared using parametric or non-parametric test depending on their distribution. Qualitative variables were assessed using the chi-square or Fisher’s exact test. A p-value < 0.05 was considered statistically significant. Main results and the role of chance Baseline characteristics were comparable between groups (age: 37.7 ± 2.9 vs. 37.7 ± 3.7 years, p = 0.48; AMH: 3.4 ± 2.7 vs. 3.1 ± 2.7 ng/mL, p = 0.56). PPOS yielded more mature oocytes (16.0 ± 12.4 vs. 11.8 ± 6.8, p = 0.18) and demonstrated a significantly higher euploid conversion rate per mature oocyte (29.8% vs. 12.6%, p < 0.001). Although euploid embryo rates per embryo were similar (44.7% vs. 44.1%, p = 0.92), segmental aneuploidy rates were significantly higher in the PPOS group (6.1% vs. 0.8%, p < 0.001). These findings suggest that while PPOS may improve oocyte retrieval efficiency, concerns remain regarding its potential impact on oocyte DNA integrity. One hypothesis to explore is whether oxidative stress induced by the PPOS protocol contributes to DNA damage, leading to increased segmental aneuploidies. Future studies should assess oxidative stress markers and DNA fragmentation in oocytes to determine if this mechanism is clinically relevant. Limitations, reasons for caution The small sample size in the PPOS group limits statistical power. As this is an exploratory study, larger, prospective trials with oxidative stress assessments are needed. Wider implications of the findings PPOS appears beneficial for patients requiring higher oocyte yields, but potential risks to DNA integrity must be considered. Future studies should refine patient selection criteria for its use. Trial registration number No

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)0.002
metaresearch head score (Gemma)0.000
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 score0.119
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.432
Teacher spread0.324 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHuman ReproductionSame topicReproductive Biology and FertilityFrench-language works237,207