Implications of the COVID-19 Pandemic on Immediate Breast Reconstruction Access
Bibliographic record
Abstract
AIMS: As a result of COVID-19, there have been restrictions on surgical interventions across Canada. Immediate breast reconstruction (IBR), while an essential component of cancer care, is classified as elective surgery and therefore has been restricted in access over the course of the pandemic. The purpose of this study was to compare wait times for breast cancer patients undergoing surgical intervention for IBR before and since the COVID-19 pandemic. METHODS: This was a retrospective cross-sectional study of consecutive patients who underwent IBR between July 2018 and October 2021 by 5 plastic surgeons at a single Canadian health center. Wait times to consultation and surgical intervention between pre- and post-COVID cohorts were analyzed. RESULTS: A total of 161 patients met inclusion criteria. For ablative surgery, there was no difference in wait times to surgical oncology consultation (14.0 ± 12.3 vs 14.0 ± 11.0 days, P = 0.991) and surgical intervention with IBR (41.0 ± 49.8 vs 35.0 ± 58.0 days, P = 0.621) between the pre- and post-COVID cohorts. For breast reconstruction, while time to consultation with plastic surgery (12.5 ± 14.8 vs 11.0 ± 12.8 days, P = 0.775) remained unchanged, usage of autologous techniques was reduced [n = 13 (16%) vs n = 2 (2%), P = 0.006], and time to second-stage alloplastic reconstruction increased (230 ± 102 vs 325 ± 224 days, P = 0.044) post-COVID. CONCLUSIONS: Swift adoption of evidence driven protocols has resulted in comparable wait times for breast cancer ablative procedures. However, utilization of autologous techniques and wait times to second-stage reconstructions have increased.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".