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Record W2749017086 · doi:10.14740/wjon1055w

Prostatic Lymphoma Masquerading as Urinary Retention and Hematuria With Review of Literature

2017· article· en· W2749017086 on OpenAlexvenueno aff
Tsering Gyalpo Lama Tamang, Prabhsimranjot Singh, Jonathan Garellek, Sonali Malhotra, Abhinav Chandra, William B. Solomon

Bibliographic record

VenueWorld Journal of Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUrinary retentionUrinary systemUrologyLymphomaInternal medicine

Abstract

fetched live from OpenAlex

Lymphomas of prostate are very rare tumors. They are not commonly considered in the clinical and histological differential diagnosis of prostatic enlargement. We report a case of a 49-year-old man who presented to emergency department with several weeks of difficulty in urination, for which he was being treated for benign prostate hyperplasia with no improvement. Computerized tomography scan showed lobulated mass originating from the superior aspect of the prostate with right inguinal lymph node involvement and no distant organ metastatic disease. Prostatic biopsy revealed diffuse large B-cell lymphoma. The patient achieved complete remission after six cycles of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone chemotherapy regimen. Lymphomas of the prostate should be considered in differential diagnosis of the patient presenting with obstructive lower urinary tract symptoms especially in patients with normal prostatic-specific antigen level and previous history of lymphoma in other sites.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.328
Teacher spread0.309 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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