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Record W4231476943 · doi:10.5489/cuaj.873

Wait times in prostate cancer diagnosis and radiation treatment

2013· article· en· W4231476943 on OpenAlexaffvenueabout
Christiaan Stevens, Susan J. Bondy, D. Andrew Loblaw

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineInterquartile rangeProstate cancerPsychosocialCancerRadiation therapyDistressDiseaseConfidence intervalProstateInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Wait times for cancer diagnosis and treatment area significant concern for Canadians. Men with prostate cancerexperience longer waiting times for diagnosis and treatment thanthose observed for other cancers. Longer waits are associated withboth patient and family psychosocial distress and may be associatedwith worse prognosis.Methods: Men referred for treatment of prostate cancer at a singleCanadian cancer centre were interviewed. The intervals from suspicionto definitive therapy were calculated, factors associated withdelays along this pathway were identified, and common causes ofdelay identified by patients were described.Results: A total of 41 consecutive patients participated. The medianinterval from suspicion to the first fraction of radiotherapy forall patients was 247 days (interquartile range [IQR] 168-367 d).The median diagnostic interval was 53 days (IQR 28-166 d). Themedian treatment interval was 127 days (IQR 100-180 d). Patientsunder 70 years old and patients with

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)0.010
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 score0.640
Threshold uncertainty score0.716

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.030
GPT teacher head0.282
Teacher spread0.251 · 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
Published2013
Admission routes3
Has abstractyes

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