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Record W3047015683 · doi:10.1002/iju5.12208

Successful treatment of recurrent small cell carcinoma of urinary bladder with pembrolizumab

2020· article· en· W3047015683 on OpenAlexaff
Tomoya Hatayama, Tetsutaro Hayashi, Shinji Matsuzaki, Hiroshi Masumoto, Hiroyuki Yanai, Hamidreza Abdi, Jun Teishima, Yasuhisa Hasegawa

Bibliographic record

VenueIJU Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCystectomyMedicineUrinary bladderPembrolizumabEtoposideUrologyCarcinomaSmall-cell carcinomaCisplatinChemotherapyPathologyOncologyInternal medicineBladder cancerImmunotherapyCancer

Abstract

fetched live from OpenAlex

INTRODUCTION: Small cell carcinoma of urinary bladder is rare and has an aggressive malignant behavior and poor prognosis. Advanced bladder cancers are treated with immune checkpoint inhibitors, however, its efficacy for small cell carcinoma of urinary bladder is unclear. CASE PRESENTATION: A 54-year-old female, diagnosed with clinical stage T2N0M0 small cell carcinoma of urinary bladder, underwent radical cystectomy after three cycles of etoposide-cisplatin neoadjuvant chemotherapy. Despite the fact that pathological examination revealed no residual carcinoma in bladder in her cystectomy specimen, local recurrence of a 60-mm mass detected in the follow-up investigation 7.5 months later. This was completely treated by pembrolizumab without any adverse effects. Immunohistochemical staining revealed that the tumor had no programmed death ligand 1 expression but it showed CD8-positive T-lymphocyte infiltration into the tumor. CONCLUSION: Immune checkpoint inhibitors might have curative potentials for treatment of small cell carcinoma of urinary bladder.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.343
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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 teacher head, 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

Citations11
Published2020
Admission routes1
Has abstractyes

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