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Record W1974840001 · doi:10.1177/1066896909333750

Metastatic Clear Cell Renal Cell Carcinoma Presenting as Multiple Colonic Polyps

2009· article· en· W1974840001 on OpenAlexaff
Runjan Chetty, Abdul Syed, Theodorus van der Kwast

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2009
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsRoyal Victoria Regional Health CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineLamina propriaCytokeratinPathologyImmunohistochemistryNephrectomyVimentinRenal cell carcinomaClear cellCarcinomaAscending colonSignet ring cell carcinomaAdenocarcinomaKidneyInternal medicineCancerEpithelium

Abstract

fetched live from OpenAlex

A 92-year-old male presented for routine endoscopic surveillance of his gastrointestinal (GI) tract. He did not have any GI symptoms currently, and the patient had undergone a right nephrectomy for renal cell carcinoma 17 years previously. A lower GI endoscopy revealed polyps in the ascending colon, hepatic flexure, and sigmoid colon (2 polyps). All the polyps were snared and removed in toto. Histological evaluation of all 4 polyps showed similar features. There was expansion of the lamina propria by sheets of clear cells arranged in a nested pattern with a rich vascular network. Immunohistochemistry showed the tumor to be positive for low-molecular-weight cytokeratin, CD10, and vimentin. The features were morphologically and immunophenotypically that of clear cell renal cell carcinoma. This case highlights an extremely unusual presentation of recurrent renal cell carcinoma as multiple, separate colonic polyps 17 years after resection of the primary tumor.

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)0.003
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.024
GPT teacher head0.296
Teacher spread0.272 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

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