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Utilization of palliative chemotherapy for advanced bladder cancer: Patterns of care in routine clinical practice.

2015· article· en· W2599564927 on OpenAlexaffabout
Andrew Robinson, Xuejiao Wei, William J. Mackillop, Christopher M. Booth

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsQueen's UniversityKingston General Hospital
Fundersnot available
KeywordsMedicineBladder cancerCancer registryComorbidityCancerInternal medicinePoisson regressionReferralPopulationChemotherapyLung cancerMedical recordCohortPalliative careFamily medicine

Abstract

fetched live from OpenAlex

6525 Background: Although palliative chemotherapy for advanced bladder cancer is recommended in clinical practice guidelines, patterns of care in routine care is not described. Here we describe utilization rates of chemotherapy and referral rates to medical oncology in the last year of life among patients who die of bladder cancer. Methods: A population based cohort of bladder cancer patients was identified from the Ontario Cancer Registry; the study population included those patients who died of bladder cancer 1995-2009. Electronic records of treatment and physician billing records were used to identify treatment patterns and referral to medical oncology (MO). Log-binomial and poisson regression were used to examine factors associated with chemotherapy utilization and MO consultation. Results: 8005 patients died of bladder cancer; 25% (1964/8005) of whom received chemotherapy in the last year of life. Use of chemotherapy was independently associated with patient age (Relative risk (RR) 0.49 70-79 vs < 50 years, p < 0.001), comorbidity (RR 0.61 moderate comorbidity vs none, p < 0.001), socioeconomic status (RR 0.84 lowest quintile vs highest, p = 0.01) and gender (RR 0.91 females vs males, p = 0.012). Utilization increased over time (from 22% to 26%, p < 0.001) and varied across geographic regions (range 18-30%, p < 0.001); these findings persisted on adjusted analyses. 68% (5426/8005) of patients were seen by MO in the last year of life. Factors independently associated referral rates to MO include age (RR 0.82 70-79 vs < 50 years, p < 0.001), comorbidity (RR 0.90 moderate comorbidity vs none, p < 0.001), socioeconomic status (RR 0.90 lowest quintile vs highest, p < 0.001), and gender (RR 0.96 females vs males, p = 0.023). Referral rates modestly increased over time (66% to 69%, p = 0.006) and varied widely across geographic regions (range (57% to 79%, p < 0.001); these findings persisted on adjusted analyses. Conclusions: Despite clinical practice guideline recommendations, utilization of palliative chemotherapy for bladder cancer in routine practice remains low. Treatment patterns and referral rates to MO vary substantially across geographic regions.

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)0.004
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 score0.217
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.229
GPT teacher head0.564
Teacher spread0.335 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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