A105 ENDOSCOPIC MUCOSAL RESECTION (EMR) OF LARGE SESSILE POLYPS: DATA FROM A MULTI-CENTER HEALTH ZONE
Bibliographic record
Abstract
Abstract Background EMR is the standard of care for management of large non-invasive colonic polyps. Current guidelines recommend repeat colonoscopy within 6 months after EMR of large sessile polyps to assess the EMR site for residual adenoma. We reviewed the outcomes and compliance to these guidelines in patients at the University of Alberta Hospital (UAH) and surrounding 7 hospitals. Aims The primary outcome was the proportion of patients who received a follow up colonoscopy within 180 days. Methods Retrospective data was collected on consecutive patients who had a large polyp resection (size >2cm as documented per endoscopy report) from January 1st, 2014 to January 1st, 2016. Information was collected on patients from UAH as well as seven surrounding hospitals within the Edmonton geographic zone. Data was extracted from electronic health records. Results Of 258 patients identified patients, 250 had complete data. Of these 250 patients, 151 (60.4 %) were male and median age was 67 (IQR 60 - 72). Eighty-two cases (32.8%) were performed at UAH, with 168 cases (67.2%) at other hospitals. Polyps were removed by gastroenterologists (n=215, 86.0%), surgeons (n=26, 10.4%), and others (n=9, 3.6%). Fifty-two patients (20.8%) had no formal follow up on electronic health records, while 198 patients (79.2%) had a repeat colonoscopy. 57 patients (29.1 %) had a repeat colonoscopy within 180 days. The median follow-up time was 224 days (IQR 172–365). Of the 82 cases performed at UAH, 74 (90.2%) had follow up. Out of the 168 cases at the other hospitals, 124 (73.8%) had follow up (p<0.01). Sixteen (21.9%) and 41 (33.3%) cases were followed up within 180days at UAH and other hospitals, respectively (p=0.09). Of the 74 cases with follow up at UAH, 12 (15.7%) had residual tissue confirmed by pathology. Of the 124 cases at other hospitals, 26 (21.0%) had follow up (p=0.41). Median polyp size was 2.5cm (IQR 2.0cm - 3.5cm) Conclusions Only 29.1% of patients with large sessile polyp removal in the Edmonton zone had a repeat colonoscopy within 180 days. Patients with large polypectomy performed at the academic hospital were more likely to be followed up compared to non-academic hospitals. Further validation studies with larger data sets are needed. These findings highlight the need for standardized pathways to appropriately manage and survey large polyps post-EMR. Funding Agencies None
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".