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Record W2328783754 · doi:10.1097/lgt.0b013e318260e872

Vulvar Ulcer Causing Osteomyelitis of the Pubic Bone

2013· article· en· W2328783754 on OpenAlexaff
Bina Cohen-Sacher, Yaa Amankwah, Paul S. Cederna, Cynthia Brincat, Hope K. Haefner

Bibliographic record

VenueJournal of Lower Genital Tract Disease · 2013
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineOsteomyelitisPubic symphysisSurgeryPelvis

Abstract

fetched live from OpenAlex

BACKGROUND: Osteomyelitis of the pubic bone is a rare entity. Risk factors for infection of the symphysis pubis and osteomyelitis of the pubic bone include direct trauma, previous urogynecologic procedures, extreme physical exercise, and immunocompromised state. The treatment modalities range from conservative antibiotic treatment to extensive surgery. CASE: A 49-year-old woman with multiple sclerosis and borderline diabetes mellitus presented with bloody vulvovaginal discharge. The source was found out to be an ulcer located above the urethra with exposure of the underlying symphysis pubis. Intraoperative debridement of the ulcer followed by bone biopsies demonstrated osteomyelitis of the pubic bone. Prolonged intravenous antibiotics and 4 operative debridements were needed before the osteomyelitis was adequately addressed and the defect could be closed with a bulbocavernosus flap. CONCLUSIONS: This is the first report of a severe case of osteomyelitis of the pubic bone arising from a vulvar ulcer.

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 score0.098
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

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