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Real-world treatment patterns, survival outcomes, and health care resource utilization among individuals with nonmuscle-invasive bladder cancer in Canada.

2022· article· en· W4213331669 on OpenAlexaffabout
Tamer N. Jarada, Geoffrey Gotto, Bimal Bhindi, Natalie Beaton, Tahir Feroz, Teagan Maier-Downing, Darren R. Brenner, Winson Y. Cheung, Devon J. Boyne

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCystectomyBladder cancerPopulationOncologyDiseaseInternal medicineRetrospective cohort studyCohortReceiptRadiation therapyCancer registryCancerEnvironmental health

Abstract

fetched live from OpenAlex

470 Background: Real-world evidence pertaining to high-risk Non-Muscle Invasive Bladder Cancer (NMIBC) is limited. We aimed to describe real-world treatment patterns and outcomes of this study population within a Canadian setting. Methods: A retrospective cohort study was conducted by linking various population-based administrative datasets from a large Canadian province. The study population consisted of all individuals ≥ 18 years who were diagnosed with Tis or high-grade Ta/T1 NMIBC in Alberta, Canada between 2010-2019. High-grade disease was defined using the WHO 1973 system. Individuals who initiated BCG therapy were classified as having received adequate induction therapy if they completed 5+ cycles. BCG unresponsive was defined as receipt of TURBT, intravesical chemotherapy, cystectomy, or radiation within 1 year of the last BCG dose. Overall survival (OS), cystectomy-free survival (CFS), progression-free survival (PFS), and healthcare resource utilization (HCRU) were examined from the time of being classified as BCG unresponsive following adequate induction therapy. CFS was defined as time until death or radical cystectomy and PFS was defined as time until death or disease progression. Disease progression was classified using a proxy based on subsequent receipt of cystectomy, systemic therapy, or radiation. Kaplan-Meier survival curves were estimated for OS, CFS, and PFS and the mean number of healthcare encounters within each year of follow-up were estimated for HCRU. Results: 5369 individuals were diagnosed with NMIBC in Alberta between 2010-2019, of whom 2679 (49.9%) had Tis or HG Ta/T1 disease at initial diagnosis. Among individuals with high-risk NMIBC, 1044 (39%) initiated BCG therapy. 885 (84.8%) individuals received 5+ BCG doses. Despite receiving adequate induction treatment, 249 (28.1%) individuals became unresponsive. The mean age at BCG unresponsive was 72.9 years and 213 (58.5%) were males. Among those who were BCG unresponsive, 25.7% underwent radical cystectomy (median time to cystectomy: 4.4 months, IQR: 1.7 to 8.2). Median OS was 50.7 months (95% CI: 37.2-65.5), CFS was 22.4 months (18.9-31.1), and PFS was 14.4 months (11.6-20.9). Within the first year of becoming BCG unresponsive, individuals spent an average of 6.2 days in hospital, had 28.8 visits with healthcare practictitioners, and had 2.2 emergency and 13.6 non-emergency encounters with ambulatory care services. Conclusions: A considerable proportion of individuals with high-risk NMIBC became unresponsive to BCG therapy despite adequate treatment. The time from becomining BCG unresponsive to radical cystectomy was relatively short. These findings highlight an unmet need in this patient population for alternative therapeutic options.

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)0.002
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 score0.035
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.129
GPT teacher head0.450
Teacher spread0.321 · 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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