Wait Time from Suspicion to Surgery for Breast Cancer in Manitoba
Bibliographic record
Abstract
INTRODUCTION: Breast cancer (BC) is the most common cancer in women. The pathway for its diagnosis and treatment is relatively standardized. Nevertheless, there can be significant delays affecting the journey. The aim of this retrospective study is to describe the BC wait times (WT) from suspicion to first surgery in Manitoba and to examine factors associated with WT variability. METHODS: The cohort is composed of patients with stages I-III breast cancer who were diagnosed between September 1, 2009, and August 31, 2010, and referred to a cancer center. Patients' journeys were tracked and divided into three sequential intervals from suspicion to first diagnostic test, from first diagnostic test to diagnosis and from diagnosis to first surgery. RESULTS: Four hundred and four patients were included of whom 134 presented through the screening program. There was no difference between the study cohort and population data from the provincial Cancer Registry concerning the distribution of age, stage of cancer or residence. The median WT from suspicion to surgery was 78 days. In the screen-detected group (SD), a difference in median WT from suspicion to first diagnostic test was found for distance. This finding was first to test location, where those who travel less had longer WT than those who have longer journeys. Patients who went to centers that offer both imaging and biopsy services, even if the required test is imaging only, had to wait longer than those who went to centers that provide imaging only. SD patients needing more than one diagnostic test had a longer WT from the first test to pathological diagnosis if the first test did not include a biopsy. Patients who were seen by surgeons before final pathological diagnosis had a shorter WT from diagnosis to first surgery than those who had the surgical consult after tissue diagnosis was made. A delay to surgery was observed in the whole cohort if a plastic surgeon is required in addition to the surgical oncologist and the non-screen detected group if a radiologist is necessary. CONCLUSIONS: Variability in WT from suspicion to surgical management was found between various BC patient groups and between diagnostic centers with different types of services. The order of the provided diagnostic and surgical services may have contributed to WT. Addressing this variability by restructuring the care pathway and improving communication between different disciplines, has the potential to reduce WT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".