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Record W4399872563 · doi:10.14740/jmc4225

An Atypical Presentation of Metastatic Renal Cell Carcinoma

2024· article· en· W4399872563 on OpenAlexvenueno aff
Selia Chowdhury, Samiul Haque, Harshavardhan Sanekommu, Brandon Nightingale, Shazli Razi, Mohammad Afzal Hossain Hossain

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRenal cell carcinomaPresentation (obstetrics)General surgeryPathologyOncologyRadiology

Abstract

fetched live from OpenAlex

Renal cell carcinoma (RCC) is notorious for spreading to various organs, however, its occurrence in the gastrointestinal (GI) tract is uncommon and poses diagnostic challenges due to vague symptoms. Here, we present the case of a 64-year-old man experiencing recurrent RCC metastasis in the GI tract. He presented with multiple episodes of hematochezia and was found to have masses in the colon, liver, and peritoneum, with histopathology confirming RCC. The patient underwent systemic chemotherapy and palliative radiation therapy, leading to symptom relief. This case emphasizes the rarity of RCC metastasizing to the GI tract and the importance of timely recognition and frequent surveillance during the remission phase to detect recurrence.

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)0.004
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.374
Teacher spread0.328 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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