MétaCan
Menu
Back to cohort
Record W4414548610 · doi:10.1155/crom/8889550

Isolated Leptomeningeal Carcinomatosis in Urothelial Carcinoma: A Case Report of Positive CSF Cytology With Negative Imaging

2025· article· en· W4414548610 on OpenAlexaff
Christina Lim, Eric Winquist, Mariamma Joseph, P. Snow Nathan

Bibliographic record

VenueCase Reports in Oncological Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsCerebrospinal fluidCytologyUrothelial cancerSpinal cordUrothelial carcinomaBladder cancerCancer

Abstract

fetched live from OpenAlex

Bladder cancer is one of the most common cancers worldwide; however, leptomeningeal carcinomatosis (LMC) is an uncommon and understudied complication. We report a male patient diagnosed with LMC while in apparent clinical remission of metastatic urothelial carcinoma of the bladder. He presented with headaches, vision changes, hearing impairment, and leg weakness. Imaging of the brain and spinal cord was negative; however, the cerebrospinal fluid was positive for malignant cells consistent with high-grade urothelial carcinoma, confirming the diagnosis of LMC. Conservative measures and whole-brain radiation were ineffective, and he died 2 months after his LMC diagnosis. Literature review identified 45 cases of LMC due to bladder cancer, and we summarize these data. It is unclear whether new and more effective systemic treatment approaches for urothelial carcinoma will also reduce the risk of LMC or provide better treatment for LMC, supporting a need for more study of this devastating complication.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.003
Science and technology studies0.0040.003
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0060.003
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 head0.322
Teacher spread0.306 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCase Reports in Oncological MedicineSame topicBrain Metastases and TreatmentFrench-language works237,207