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Prenatal Cell-Free DNA Screening for Chromosomal Aneuploidies After Euploid Embryo Transfer Shows High Concordance With Preimplantation Genetic Testing for Aneuploidy Results and Low Positive Predictive Values

2025· article· en· W4411101847 on OpenAlexaff
Mitko Madjunkov, Prati Sharma, Ari Baratz, Karen Glass, Rina Abramov, N. Logan, Svetlana Madjunkova, Clifford Librach

Bibliographic record

VenueObstetrical & Gynecological Survey · 2025
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsCReATe Fertility CentreSunnybrook HospitalUniversity of TorontoToronto Public HealthSunnybrook Health Science Centre
Fundersnot available
KeywordsConcordanceAneuploidyMedicineEmbryoPloidyGenetic testingAndrologyCell-free fetal DNAGeneticsPrenatal diagnosisFetusInternal medicinePregnancyBiologyChromosomeGene

Abstract

fetched live from OpenAlex

(Abstracted from Fertil Steril 2024;122:1105–1113 Assisted reproductive technology use continues to rise, with many prospective parents also opting for preimplantation genetic testing for aneuploidy (PGT-A) before in vitro fertilization (IVF). PGT-A enables the selection of euploid embryos, with a goal to reduce miscarriage rates and improve pregnancy rates per transfer cycle.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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 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

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