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Record W2805446030 · doi:10.1111/tid.12931

Disseminated<i>Mycobacterium bovis</i>infection post‐kidney transplant following remote intravesical<scp>BCG</scp>therapy for bladder cancer

2018· article· en· W2805446030 on OpenAlexafffund
Jennifer Ziegler, Julie Ho, Ian W. Gibson, Jasmir G. Nayak, Markus Stein, Andrew Walkty, Pamela Orr

Bibliographic record

VenueTransplant Infectious Disease · 2018
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsShared HealthUniversity of Manitoba
FundersInstitute of Nutrition, Metabolism and Diabetes
KeywordsMedicineImmunosuppressionBladder cancerSepsisUrologyCancerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Intravesical Bacillus Camlette-Guérin (BCG) is the treatment of choice for non-muscle invasive bladder cancer, and has been used successfully for over 40 years. A rare and potentially fatal complication of intravesical BCG therapy is BCG-induced sepsis. We report a rare case in which a patient with end-stage renal disease secondary to chronic granulomatous interstitial nephritis underwent remote, pre-transplant intravesical BCG treatment for high-grade non-invasive papillary bladder carcinoma. The patient subsequently received a deceased donor kidney transplant 5 years after BCG therapy, with thymoglobulin induction therapy and standard triple maintenance immunosuppression. Two years post-transplant, he developed BCG-induced sepsis confirmed by cultures from urine, blood, and left native kidney biopsy. He died from disseminated BCG-induced sepsis and failure of his renal allograft. This case highlights the potential adverse reactions associated with intravesical BCG therapy that may occur years after bladder cancer therapy is completed, and should heighten physician awareness for BCG-related infections during pre-transplant assessment and post-transplant care of solid organ transplants recipients.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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.

Study designObservational
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

Citations23
Published2018
Admission routes2
Has abstractyes

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