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Record W2594316209 · doi:10.1097/ruq.0000000000000284

Ectopic Pelvic Fibroid in a Woman With Uterine Agenesis and Mayer-Rokitansky-Küster-Hauser Syndrome

2017· article· en· W2594316209 on OpenAlexaff
Thelina Amaratunga, Iain Kirkpatrick, Yi Yan, Fern Karlicki

Bibliographic record

VenueUltrasound Quarterly · 2017
Typearticle
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMayer-Rokitansky-Kuster-Hauser SyndromeMedicineAplasiaUterusAgenesisMullerian DuctsHypoplasiaGynecologyVaginaRenal agenesisEctopic kidneyAnatomyKidneyInternal medicine

Abstract

fetched live from OpenAlex

Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a rare disorder characterized by aplasia or hypoplasia of the uterus and vagina due to arrest in the development of the müllerian ducts. Women with this syndrome have the normal 46 XX karyotype, normal female secondary sex characteristics, and primary amenorrhea. Only a few cases have been described in the literature where a fibroid develops from a rudimentary, nonfunctioning uterus in patients with MRKH syndrome. In even rarer instances, a fibroid can develop in patients with a congenitally absent uterus.Here, we present the first reported case of an ectopic fibroid in association with congenital absence of a uterus found by ultrasound in a 66-year-old white female patient with MRKH syndrome and unilateral renal agenesis.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0020.001
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 head0.012
GPT teacher head0.271
Teacher spread0.259 · 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 designCase report
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

Citations12
Published2017
Admission routes1
Has abstractyes

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