Melbourne colorectal collaboration: a multicentre review of the impact of <scp>COVID</scp>‐19 on colorectal cancer in Melbourne, Australia
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: As coronavirus (COVID-19) cases continue to rise, healthcare workers have been working overtime to ensure that all patients receive care in a timely manner. Our study aims to identify the impact and outcomes of COVID-19 on colorectal cancers presentations across the five major colorectal units in Melbourne, Australia. METHODS: This is a retrospective study from a prospectively collected database from the binational colorectal cancer audit (BCCA) registry, as well as inpatient records. All patients with colorectal cancer between Pre-COVID-19 period (1 July 2018-2030 June 2019) and COVID-19 period (1 July 2020-2030 June 2021) were compared. Benign pathology and other cancer types were excluded. RESULTS: A total of 1609 patients were included in the study (700 Pre-COVID-19 period, 906 COVID-19 period). During COVID-19 period, there was a higher proportion of emergency surgery (28.1% vs. 19.8%; P < 0.001), a higher nodal (P = 0.024) and metastatic stage (P = 0.018) at presentation, but no increase in the rate of return to operating theatres (P = 0.240), inpatient death (P = 0.019) or 30-day readmission (P = 0.000). There was also no difference in the post-operative surgical complications (P = 0.118). Utility of neoadjuvant therapy did not increase during the pandemic (P = 0.613). CONCLUSION: The heightened measures in the healthcare system ensured CRC patients still received their surgery in a timely fashion. With the current rise in the new strain of COVID-19 (Omicron), we have to continue to come up with new strategies to provide timely access to CRC care.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it