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Record W1606048478 · doi:10.14740/wjnu214w

Renal Leiomyosarcoma: Case Report and Review of the Literature

2015· article· en· W1606048478 on OpenAlexvenueno aff
Young Suk Kwon, Amirali Salmasi, Christopher Han, Jane Date Hon, Eric A. Singer

Bibliographic record

VenueWorld Journal of Nephrology and Urology · 2015
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
FundersNational Cancer Institute
KeywordsMedicineNephrectomyLeiomyosarcomaRenal cell carcinomaKidneyAbdomenAdjuvant therapyRadiologySurgeryUrologyInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

Leiomyosarcoma of the kidney is a rare entity, and our understanding of this type of renal sarcomas is limited. A 46-year-old Caucasian male presented with a chief complaint of right flank pain for one month. He came to our facility for an additional opinion regarding the management of his renal mass. Computed tomography (CT) of the abdomen showed an enhancing, heterogeneous right renal mass, consistent with the features of renal cell carcinoma (RCC). Robotic-assisted total nephrectomy of the right kidney revealed a tan mass with central necrosis that involved the upper pole of the kidney. Based on gross specimen observation and immunochemical analysis, the patient was diagnosed with high-grade leiomyosarcoma. While the prognosis is poor, radical nephrectomy remains the treatment of choice. The potential benefits of adjuvant therapy should be discussed with selected patients.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.290
Teacher spread0.269 · 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 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

Citations16
Published2015
Admission routes1
Has abstractyes

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