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Record W4389101189 · doi:10.1016/j.gore.2023.101310

Vulvar cancer management and wrangling recurrent disease: A report from the Society of Gynecologic Oncology journal club

2023· article· en· W4389101189 on OpenAlexaffabout
Jessica E. Parker, Emi Yoshida, Lilian T. Gien, Brian M. Slomovitz, Christa Nagel

Bibliographic record

VenueGynecologic Oncology Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineGynecologic oncologyVulvar cancerGeneral surgeryVulvectomyClinical trialVulvar neoplasmEndometrial cancerCancerVulvaGynecologyFamily medicineOncologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

The Society of Gynecologic Oncology (SGO) Journal Club webinar series is an open forum that invites national experts to discuss the literature pertaining to important topics in the management of gynecologic cancers. On August 14th, 2023, SGO hosted a journal club focused on the management of upfront and recurrent vulvar cancer. Our discussants included Dr. Brian M Slomovitz from Mount Sinai Medical Center in Miami Beach, Dr. Emi Yoshida from the University of California San Francisco Helen Diller Family Comprehensive Cancer Center, and Dr. Lilian Gien from the University of Toronto Sunnybrook Odette Cancer Center. During the discussion,we reviewed the progression of vulvar cancer surgery from en bloc resection of the vulva and groins, to partial radical vulvectomy and sentinel lymph nodes. We also reviewed the management of node positive vulvar cancer including published and accruing Groningen International Study on Sentinel Nodes in Vulvar Cancer (GROINSS) trials and other sentinel trials from the Gynecologic Oncology Group (GOG). Here we will also review the literature on the management of recurrent vulvar cancer, highlighting current treatment options and ongoing clinical trials. The following is a report of the journal club presentation.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.048
GPT teacher head0.363
Teacher spread0.316 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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