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Wait Times and Diagnostic Pathways among Women with Invasive Breast Cancer in a Population-Based Publicly Funded Cancer Centre, British Columbia, Canada.

2009· article· en· W1981336987 on OpenAlexaffabout
Lee Ann Martin, Brian Banno, Michel Joffres, Frances Wong, Colleen Sherriff

Bibliographic record

VenueCancer Research · 2009
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineBreast cancerCancerMammographyPopulationMedical recordOncologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Rationale and background: The Fraser Valley Cancer Center serves a large geographic population of urban and rural areas. Selected data on wait times and diagnostic pathways are available for mammography screening programs in British Columbia (BC), but not for patients presenting with clinical abnormalities such as a palpable breast lump. Diagnostic pathways in BC are managed by primary care physicians and community surgeons. Anecdotal evidence from oncology services suggests large variation in wait times and pathways.Objective: To examine time intervals and pathways between the detection of a breast abnormality and formal assessment by medical or radiation oncology for adjuvant treatment.Methods: Retrospective chart review of all patients with a new diagnosis of breast cancer first seen at the Fraser Valley Cancer Center in 2002, linked with demographic and other registry data. Data collected included type, location, date of investigations, surgical procedures, diagnosis, treatment and stage. Exclusion criteria were patients initially diagnosed with metastatic breast cancer, patients with recurrent breast cancer, male breast cancer patients, patients diagnosed or previously treated outside BC. Microsoft Access and SAS 9.2 were used to enter and analyse data.Results: From a total of 513 women diagnosed in 2002 with invasive breast cancer, 422 women (82%), without metastases (age 30 to 97 yrs, median 59 yrs), presented with abnormal screen (45%), breast lump (47%) or other findings. These women had up to 7 different radiological breast investigations and up to 5 surgical interventions. About 5% had 5 or more breast investigations. Median time (days) from presentation to first surgery was 41 days and varied by location of first investigation. Time to surgery was highest among women who presented with abnormal screening mammogram (median 49 days). Median time from first surgery consultation to first surgery was lowest for women presenting with breast lumps (15 days).Conclusions: These data indicate wait times beyond national and international targets and identified wide variability and some inefficient, redundant or unnecessary steps. Recognition and analysis of abnormal pathways will guide changes in breast health service delivery. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 3083.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.030
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.318
Teacher spread0.274 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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