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Record W106468212

A population-based study of the waiting times for prostatectomy in Ontario.

2005· article· en· W106468212 on OpenAlexaffabout
D. Robert Siemens, Karleen M Schulze, William J. Mackillop, Michael Brundage, Patti A. Groome

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineProstatectomyProstate cancerCancer registryPopulationResidenceIncidence (geometry)Retrospective cohort studyDemographyUnivariate analysisRelative survivalCancerEmergency medicineMultivariate analysisSurgeryInternal medicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION AND OBJECTIVE: Despite the high incidence of prostate cancer in Canada, there is currently limited information describing how these patients are being managed. The aim of this study was to review the surgical waiting times for radical prostatectomy in Ontario, utilizing existing population-based cancer databases, and to describe factors associated with prolonged waiting times. METHODS: This is a retrospective, population-based, observational study of men diagnosed with prostate cancer in Ontario between 1980 and 2000. The sources of data include the Ontario Cancer Registry linked to hospital discharge data, as well as census data from Statistics Canada. Study variables include age, county of residence, teaching hospital status, hospital surgical volume, area-level median household income and cause-specific survival. Waiting times were compared across study variables using univariate and graphical methods. Survival was compared across geographic regions with differing average wait times. RESULTS: We identified 9524 men treated with radical prostatectomy in Ontario over the study period and found the percentage of all patients with the disease who were treated surgically increasing from 3% to 20% over the last 2 decades. The overall time to prostatectomy has almost doubled with a median waiting time of 55 days in earlier eras to 91 days in 1996-2000. A few counties had significantly different wait times, whereas age and socio-economic factors were not associated with wait times across most eras. In the most recent eras, acute care hospitals and hospitals with higher surgical volumes had significantly higher waiting times (up to 20 days longer in 1996-2000, p<0.0001). Patients living in regions with the shortest wait times had statistically significant worse survival (p=0.02), implying that triaging has a greater impact than the potential effect of prolonged waits. CONCLUSIONS: The observed increases in waiting times for radical prostatectomy from this study are similar to the known increases in waiting times for radiotherapy. This increased time to treatment is an illustration of the stress on the health care system in Ontario.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.504
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.082
GPT teacher head0.365
Teacher spread0.283 · 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.

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

Citations20
Published2005
Admission routes2
Has abstractyes

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