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Record W2152746187 · doi:10.4021/wjon367e

Ovarian Clear Cell Carcinoma Presenting as Non-bacterial Thrombotic Endocarditis and Systemic Embolization

2011· article· en· W2152746187 on OpenAlexvenueno aff
Oueida

Bibliographic record

VenueWorld Journal of Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalignancyAsymptomaticStage (stratigraphy)Ovarian cancerThrombosisRadiologyDisseminated intravascular coagulationClear cell carcinomaSurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

Non-bacterial thrombotic endocarditis (NBTE) is a rare manifestation of cancer-induced hypercoaguability. It most commonly occurs in association with mucin-producing adenocarcinomas and has rarely been described with ovarian clear cell carcinoma (OCCC). We report a case of NBTE with multi-organ embolic infarcts occurring in a patient with early stage clear cell ovarian cancer. A 56 years old Caucasian female presented with leg pain, and left flank discomfort. Evaluation revealed multi-organ infarction, extensive deep vein thrombosis (DVT), and the incidental presence of an asymptomatic large ovarian mass with a laboratory picture consistent with disseminated intravascular coagulation (DIC). The diagnosis of NBTE was supported by echocardiogram and multiple negative bacteriological studies. She underwent surgical extirpation of an early stage OCCC and initiation of anticoagulation. Postoperatively, the patient's hypercoaguability promptly resolved with gradual resolution of vegetations. Subsequent recurrence of the malignancy was heralded by a return of the prothrombotic state. This case shows a rarely reported association between NBTE and OCCC. It illustrates how the clinical picture of NBTE can dominate the initial presentation of an early stage and otherwise asymptomatic malignancy. Late recognition can lead to significant morbidity and a rapidly fatal course. Recurrent thromboembolism may be the first indication of disease recurrence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.479

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)0.0000.000

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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.

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

Citations15
Published2011
Admission routes1
Has abstractyes

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