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Global real-world patients characteristics, treatment patterns, and impact of BCG shortage in patients with high-risk non-muscle invasive bladder cancer.

2025· article· en· W4407700595 on OpenAlexaboutno aff
Jens Bedke, Anthony Eccleston, Julia Brinkmann, Jane P. Chang, Abin Koshy, Neil Milloy, Laure Manuel, J. Skilling, E Biondi, Elliott Brown, Gary D. Steinberg, Ó. Rodríguez Faba, Yohann Loriot, Paolo Gontero, Yair Lotan

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
FundersPfizer
KeywordsMedicineBladder cancerEconomic shortageCancerOncologyInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

717 Background: Global guidelines recommend that High Risk Non-Muscle Invasive Bladder Cancer (HR NMIBC) patients (pts) receive 1-3 years of Bacillus Calmette-Guérin (BCG) treatment (Tx). This global real-world study aimed to understand pt characteristics, Tx patterns and impact of the BCG shortage in pts with HR NMIBC. Methods: Physicians across EU5 (n=244), the US (n=55), Japan (n=44) and Canada (n=21) were recruited to the Adelphi HR NMIBC Disease Specific Programme: a cross-sectional survey with retrospective data collection extracted from medical record data for their next eight pts with HR NMIBC consecutively consulting with their physician. Tx patterns and characteristics were analysed descriptively. Data was collected from June to December 2023. Results: 364 physicians (55% urologists; 45% medical oncologists) provided data for 1930 pts with an initial diagnosis (IDx) of HR NMIBC. At IDx 73% presented with high grade T1 tumors, 21% had carcinoma in-situ, and 37% had multifocal tumors. The median time between IDx and data collection was 613 days. Tx patterns are described in the table. Of the 1395 pts who received intravesical therapy after IDx, 462 (33%) received induction Tx only, and 875 (63%) received induction followed by maintenance Tx. BCG was most commonly used induction Tx (28%), whilst 5% received intravesical chemo, similarly 56% received BCG maintenance Tx and 7% received chemo. Of those who completed BCG maintenance Tx (n=269) the median (IQR) duration was 336 (180-382) days. Physician reported BCG shortage affected 8% of HR NMIBC pts: 41% received fewer instillations, 37% received lower dosages, and 33% used different strains. Among the 29% of HR NMIBC pts who had ≥1 recurrence the median (IQR) time from IDx to 1 st recurrence was 426 (224-580) days. After 1 st recurrence, 57 pts received partial or radical cystectomies. Physicians surveyed stated that a median 20% of their overall NMIBC caseload were BCG unresponsive and 50% were BCG naïve. 45% of physicians reported having been affected by BCG shortage, ranging from 23% (Japan) to 71% (Canada), 61% reserved BCG for HR pts and 46% used intravesical chemotherapy as an alternative. Conclusions: BCG remains the most frequently prescribed Tx for HR NMIBC pts even though there have been shortage issues and many pts do not receive BCG maintenance. New Tx options that could safely reduce the amount of BCG administered without compromising pts’ outcomes are needed. Tx patterns of pts with HR NMIBC. Tx received After IDx n=1930, n (%) After 1st recurrence n=551, n (%) After 2nd recurrence n=130, n (%) TURBT + intravesical Tx 1209 (63) 194 (35) 40 (31) Other surgery + intravesical Tx 14 (1) 11 (2) 0 (0) Intravesical Tx only 172 (9) 31 (6) 10 (8) TURBT only 327 (17) 162 (29) 43 (33) Other surgery only 13 (1) 9 (2) 3 (2) Radical cystectomy only 0 (0) 44 (8) 6 (4) Other drug Tx ± surgery 88 (4) 41 (7) 9 (7) No Tx 107 (5) 59 (11) 19 (15)

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.410
Teacher spread0.380 · 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 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".

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Citations3
Published2025
Admission routes1
Has abstractyes

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