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Record W2991260914 · doi:10.1016/j.gore.2019.100511

Paraneoplastic opsoclonus-myoclonus syndrome as a presentation of high grade serous ovarian cancer

2019· article· en· W2991260914 on OpenAlexaff
Kimberly Stewart, Joohyun Shaina Lee, Gavin Stuart

Bibliographic record

VenueGynecologic Oncology Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineOvarian cancerSerous fluidContext (archaeology)Serous carcinomaCancerLung cancerClear cell carcinomaOncologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Opsoclonus-myoclonus syndrome (OMS) is a rare paraneoplastic disorder that is most often seen in association with pediatric neuroblastoma, breast cancer, small cell lung cancer, and prostate cancer. There are only three previously documented cases relating paraneoplastic OMS to ovarian cancer. We present a unique case of OMS related to a stage IIIC high grade serous ovarian carcinoma in a patient with germline BRCA2 mutation, with ten years of clinical follow up. This case report is presented to document the rare association of OMS with epithelial ovarian cancer. Additionally, in this case, OMS and epithelial cancer were successfully treated with medical therapy alone. This is the first report to our knowledge to document ten years of clinical follow up in this context, and to report that the association may not be evident at the time of ovarian cancer 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 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 score0.038
Threshold uncertainty score0.998

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)0.0030.000

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 head0.302
Teacher spread0.287 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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