An acute care surgery service expedites the treatment of emergency colorectal cancer: a retrospective case–control study
Bibliographic record
Abstract
INTRODUCTION: Emergency colorectal cancer (CRC) is a complex disease that requires multidisciplinary approaches for management. However, it is unclear whether acute care surgery (ACS) services can expedite the workup and treatment of complex surgical diseases such as emergency CRC. We sought to assess the impact of an Acute Care and Emergency Surgery Service (ACCESS) on wait-times for inpatient colonoscopy and surgical resection among emergency CRC patients. METHODS: This retrospective case-control study was conducted at a tertiary-care, university-affiliated, cancer centre in London, Ontario, Canada. All patients aged 18 or older who presented to the emergency department with a recent (within 48 hours) diagnosis of CRC, or were diagnosed with CRC after admission, were included in the study. Patients were either in the pre-ACCESS (July 1, 2007-June 31, 2010) or post-ACCESS (July 1, 2010-June 30, 2012) groups. A third group of emergency CRC patients treated at an adjacent cancer centre that lacked ACCESS (non-ACCESS) was evaluated separately. The primary outcome was time from admission to colonoscopy and surgery. RESULTS: A total of 149 patients (47 pre-ACCESS, 37 post-ACCESS, and 65 non-ACCESS) were identified. Only 19% (n = 9) of pre-ACCESS patients underwent inpatient colonoscopy, compared to 38% (n = 14) in the post-ACCESS group (p = 0.023). Additionally, 100% of patients in the post-ACCESS era underwent inpatient colonoscopy and surgery during the same admission, compared to only 44% of pre-ACCESS patients (p = 0.006). Median wait-times for inpatient colonoscopy (2.0 and 1.8 days for pre- and post-ACCESS groups respectively, p = 0.08) and surgical resection (1.6 and 2.3 days for pre- and post-ACCESS groups respectively, p = 0.40) were similar. CONCLUSIONS: Patients admitted to ACCESS underwent more inpatient colonoscopies and were more likely to have definitive surgery on that admission. ACS services can facilitate the workup and management of complex surgical diseases such as emergency CRC without delaying treatment.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".