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Record W2105966656 · doi:10.1007/bf03405142

Waiting time for breast cancer treatment in Alberta.

2004· article· en· W2105966656 on OpenAlexaffabout
Alyssa Reed, Robert J. Williams, Patricia A. Wall, Paul Hasselback

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineBreast cancerStage (stratigraphy)CancerCancer stageDemographyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The present study had two research questions. First, what is the average waiting time between diagnosis and treatment for Alberta women with breast cancer relative to Canadian Society for Surgical Oncology (CSSO) recommendations? Second, does patient age, cancer stage, patient community size, and year of diagnosis have a significant relationship to waiting time? METHODS: The sample consisted of all Alberta women diagnosed with breast cancer between 1997 and 2000. Waiting time was defined as number of days between definitive diagnosis and treatment initiation. Multiple regression examined the relative influence of the predictor variables on waiting time. RESULTS: There were 6,418 cases of breast cancer between 1997 and 2000. Mean waiting time was 20.2 days (SD 21.6) and median waiting time was 17 days. Longer waiting time was significantly associated with year of diagnosis (progressively longer from 1997 to 2000), patients younger than 70, and Stage 1 cancer. Waiting time increase from 1997 to 2000 appears to be due to increased demand for services without corresponding increases in resources. Less treatment delay for women older than 70 is due to more of these women being treated the same day they received their diagnosis. CONCLUSION: Only 44% of women had a waiting time of 14 days or less as recommended by the CSSO. The number of women who will have to wait longer than recommended for treatment will likely increase without a significant increase in oncological resources. The basis for differences in waiting times as a function of age needs to be further investigated to ensure equitable access to care.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.055
GPT teacher head0.302
Teacher spread0.247 · 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

Citations28
Published2004
Admission routes2
Has abstractyes

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