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Benefit of whole-pelvis radiation for patients with muscle-invasive bladder cancer: An inverse probability treatment-weighted analysis.

2023· article· en· W4324136387 on OpenAlexaffabout
Ronald Kool, Gautier Marcq, Alice Dragomir, Girish S. Kulkarni, Rodney H. Breau, Micheal Kim, Ionut Busca, Hamidreza Abdi, Mark Dawidek, Michael Uy, Gagan Fervaha, Nimira Alimohamed, Jonathan I. Izawa, Claudio Jeldres, Ricardo Rendon, Bobby Shayegan, D. Robert Siemens, Peter C. Black, Fabio Cury, Wassim Kassouf

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsSt. Joseph’s Healthcare HamiltonDalhousie UniversityQueen's UniversityMcMaster UniversityUniversity of British ColumbiaMcGill University Health CentreMcGill UniversityUniversity of OttawaUniversity of CalgaryPrincess Margaret Cancer CentreUniversity Health NetworkOttawa HospitalUniversité de SherbrookeWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineBladder cancerRadiation therapyUrologyPelvisLymph nodeConfoundingInternal medicineOncologyRandomized controlled trialCancerSurgery

Abstract

fetched live from OpenAlex

449 Background: Pelvic lymph node irradiation is still under debate for patients with muscle-invasive bladder cancer (MIBC) planned for curative-intent radiation-based therapy (RT). A previous randomized trial suggested bladder-only (BO)-RT was effective in reducing RT-related toxicity, while associated with non-inferior oncological outcomes – bladder preservation rates, disease-free survival, and overall survival (OS) – compared to whole-pelvis (WP)-RT. In this study, we sought to evaluate the impact of the radiation volume (BO-RT vs. WP-RT) on main oncological outcomes in patients with MIBC. Methods: This nationwide study included patients with urothelial MIBC (cT2-4aN0-2M0) who underwent curative RT at 10 academic centers across Canada. Patients clinically staged with pelvic or abdominal wall invasion (cT4b) or enlarged lymph nodes beyond the common iliac bifurcation (cN3) before RT were excluded. Patients were divided into two groups based on the RT volume: WP-RT vs. BO-RT. Inverse probability of treatment weighting (IPTW) and absolute standardized differences (ASDs) were used to balance baseline covariates across treatment groups. Regression models were used to assess the impact of the RT volume on the rates of complete response (CR) to treatment, cancer-specific survival (CSS), and OS while adjusting for potential confounding variables in the weighted cohorts. Results: A total of 599 patients were analyzed, out of whom 369 (61.6%) underwent WP-RT. Patients in the WP-RT group were younger (mean age 73.2 vs. 77.4; ASD 0.41), and more likely to have an Eastern Cooperative Oncology Group performance status (ECOG PS) of 0-1 (82.1% vs. 73.5%; ASD 0.21), clinical node-positive disease (12.5% vs. 2.2%; ASD 0.40), and lymphovascular invasion (26.3% vs. 16.1%; ASD 0.25), compared to BO-RT. In addition, WP-RT patients were more commonly treated with neoadjuvant chemotherapy (20.9% vs. 10.4%; ASD 0.29) and concurrent chemotherapy (76.7% vs. 56.5%; ASD 0.44), compared to BO-RT. In the IPTW cohort, age, gender, ECOG PS, clinical staging, the proportion of patients with carcinoma in situ, lymphovascular invasion, variant urothelial histologies, hydronephrosis, and whose tumours were completely resected before RT, treated with NAC, and treated with concurrent chemotherapy were well balanced across groups (all ASDs < 0.10). In multivariable analysis, WP-RT did not impact CR rates post-RT (OR 1.14; p=0.526) but was associated with both CSS (HR 0.66; p=0.016) and OS (HR 0.68; p=0.002), independently of other prognostic factors (Table). Conclusions: Our study demonstrated a significant survival benefit with the use of WP-RT compared to BO-RT in patients with MIBC treated with curative intent. Additional randomized controlled trials are needed to confirm our findings.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.011
metaresearch head score (Gemma)0.021
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.007
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.096
GPT teacher head0.429
Teacher spread0.333 · 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

Labeled directly by 2 models reading the full record.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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