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Record W3087929117 · doi:10.14740/jmc3543

Isolated Bladder Endometriosis in a Patient With Previous Cesarean Sections

2020· article· en· W3087929117 on OpenAlexvenueno aff
Chye Lee Kho Lily, Charissa Goh, Yong Kuei Lim

Bibliographic record

VenueJournal of Medical Cases · 2020
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndometriosisMalignancyPelvic painMagnetic resonance imagingSurgeryGynecologyRadiologyPathology

Abstract

fetched live from OpenAlex

Urological endometriosis is rare and accounts for approximately 1% of women with endometriosis. The pathophysiology of bladder endometriosis may be divided into two different causes, namely primary and secondary. The primary form occurs spontaneously and manifests in a form of a generalized pelvic disease whereas the secondary form is thought to be iatrogenic and typically occurs after pelvic surgery such as Cesarean section or hysterectomy. We present a case report on a patient presenting with an invasive bladder mass initially thought to be from a pelvic malignancy. The final histology showed isolated bladder endometriosis. She had a significant past medical history of two previous Cesarean sections. A review of her magnetic resonance imaging (MRI) images demonstrated the presence of a Cesarean scar niche which may be linked to her bladder endometriosis. There is a need to improve awareness of the possible link between Cesarean scar niche with bladder endometriosis. This is important as it raises the clinical question of whether appropriate repair of Cesarean scar niches can prevent future complications such as bladder endometriosis which can potentially be associated with significant morbidity.

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)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.353
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.319
Teacher spread0.283 · 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 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

Citations7
Published2020
Admission routes1
Has abstractyes

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