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Record W3180505744 · doi:10.5468/ogs.21002

Inconsistencies between endometrial receptivity assay and Adhesio-RT test for the window of implantation in women with repetitive failed donor oocyte embryo transfers

2021· article· en· W3180505744 on OpenAlexaffabout
Michael H. Dahan, Samer Tannus

Bibliographic record

VenueObstetrics & Gynecology Science · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsEndometriumReceptivityAndrologyGynecologyEmbryo transferEmbryoMedicineOocyteBiologyInternal medicineCell biology

Abstract

fetched live from OpenAlex

Two commercially available second-generation endometrial receptivity assays using microarray analysis or next-generation sequencing are available in the market: endometrial receptivity assay (ERA) (Igenomix Laboratories) and Adhesio RT (OVO laboratories, Montreal, Canada). Little is known about how the results of these tests compare. We present a case of a subject with repetitive failed donor oocyte embryo transfer, who underwent evaluation of endometrial receptivity using both the Adhesio and ERA tests. These two tests did not provide consistent results, with ERA suggesting receptivity on day 5 of progesterone treatment and Adhesio suggesting receptivity on the eighth day. An ERA test subsequently performed on the eighth day of progesterone treatment was suggestive of post-receptive endometrium during the same time frame that Adhesio was suggestive of receptive endometrium. In conclusion, it is important to note that these two tests may not provide consistent results in at least some subjects. Therefore, intertest validity studies are recommended.

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)0.006
metaresearch head score (Gemma)0.022
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 score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.247
Teacher spread0.230 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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