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Record W2435409661

Renal medullary carcinoma as an incidental finding in a horseshoe kidney: case report and literature review.

2005· article· en· W2435409661 on OpenAlexaffabout
Gilles Molgat, Marjan Afrouzian, Kiril Trpkov

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsMedicineSickle cell traitHorseshoe kidneyAutopsyKidneyRenal cell carcinomaPathologyMedullary cavityDiseaseCause of deathInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Renal medullary carcinoma is rare and extremely aggressive neoplasm that typically affects young patients of African decent who demonstrate sickle cell trait or disease. Since the original description in 1995, only few cases have been reported outside the United States. A 29 year-old Canadian male of Afro-Caribbean decent with sickle cell trait developed right-sided hemiparesis due to brain infarct. During the clinical work-up, a 3 cm renal tumor was detected in a horseshoe kidney. The patient died suddenly 2 weeks after the presentation of massive non-neoplastic pulmonary thromboembolism, confirmed at autopsy. The final diagnosis of renal medullary carcinoma was established after the autopsy. Due to the small size of the tumor and the limited metastatic spread only to the regional lymph nodes, the tumor was considered an incidental finding, and not the primary cause of patient's death.

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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0030.002

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 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

Citations3
Published2005
Admission routes2
Has abstractyes

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