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Record W1814570801 · doi:10.5489/cuaj.2564

Renal cell carcinoma after neuroblastoma: A case study and review of the literature

2015· article· en· W1814570801 on OpenAlexaffvenue
Brendan K. Wallace, Michael Organ, Scott Bagnell, Ricardo Rendon, Jennifer Merrimen

Bibliographic record

VenueCanadian Urological Association Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsDalhousie UniversitySaint John Regional HospitalMemorial University of Newfoundland
Fundersnot available
KeywordsNeuroblastomaRenal cell carcinomaGenetic predispositionMedicineCarcinomaOncologyInternal medicineGeneticsBiologyCell cultureDisease

Abstract

fetched live from OpenAlex

We present a case of renal cell carcinoma (RCC) arising in a 26-year-old patient with a history of neuroblastoma. RCC after a previous diagnosis of neuroblastoma is very uncommon, and there have only been 23 reported cases. Using the results of our patient workup, we hoped to determine whether there was a genetic predisposition or iatrogenic cause for the RCC. There is no clear explanation why neuroblastoma survivors are prone to developing RCC. However, genetic predisposition and previous treatment likely play a role. Since there have been few cases described, and few investigations into the genetics of this subtype of RCC, it remains important for individual cases to be added to the literature of this recently described and rare entity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2015
Admission routes2
Has abstractyes

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Same venueCanadian Urological Association JournalSame topicNeuroblastoma Research and TreatmentsFrench-language works237,207