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Record W2913261200 · doi:10.1097/pgp.0000000000000581

Pathologic Changes in Uterine Leiomyomas After Extended Treatment With Ulipristal Acetate

2019· article· en· W2913261200 on OpenAlexaff
Martin C. Chang, Eleanor Latta

Bibliographic record

VenueInternational Journal of Gynecological Pathology · 2019
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsSinai Health SystemUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsUlipristal acetateLeiomyomaMedicineEndometriumUterine fibroidsAtypiaHysterectomyAgonistProgesterone receptorPathologyUterine leiomyomaGonadotropin-releasing hormone agonistInternal medicineUrologyEndocrinologyReceptorEstrogen receptorCancerBreast cancer

Abstract

fetched live from OpenAlex

Ulipristal acetate is a selective progesterone receptor modulator that acts on progesterone receptors in uterine muscle and endometrium. It is effective in reducing the size of uterine leiomyomas (fibroids) and in managing associated menorrhagia. Although ulipristal acetate-associated pathologic changes have been previously documented in the endometrium, it is unclear what morphology can be expected in posttreatment fibroids. We herein report 2 cases in which patients underwent hysterectomy, after at least two 3-mo courses of ulipristal acetate. The fibroids demonstrated some pathologic changes that have previously been described associated with gonadotropin-releasing hormone agonist treatment and other progestogens. In addition, both cases demonstrated plexiform/"patchwork" fibrosis and vascular medial myxoid degeneration. Mitotic activity was absent; however, the presence of ischemic necrosis and mild nuclear atypia may mimic a more aggressive neoplasm in some areas. Awareness of these histopathologic patterns is important in the setting of ulipristal acetate treatment, to avoid over-diagnosis of "uncertain malignant potential" or malignant smooth muscle tumors.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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Same venueInternational Journal of Gynecological PathologySame topicUterine Myomas and TreatmentsFrench-language works237,207