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Record W4213046106 · doi:10.1093/jcag/gwab049.121

A122 OUTCOMES OF COLD SNARE POLYPECTOMY FOR POLYPS GREATER THAN 20 MM: DATA FROM AN ACADEMIC CENTER

2022· article· en· W4213046106 on OpenAlexaffabout
Jasper Johar, Ali Kohansal, Davide Farina, S E Gruchy, Gerald Williams, Sumit Patel

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPolypectomyMedicinePerforationEndoscopic mucosal resectionAdverse effectSurgeryEndoscopyColonoscopyInternal medicineColorectal cancerCancer

Abstract

fetched live from OpenAlex

Abstract Background Cold snare polypectomy (CSP) is widely utilized for resection of small polyps (less than 10mm), due to the technique’s favourable safety profile. However, Hot Snare Endoscopic Mucosal Resection (HSEMR) remains the standard of care for large polyps greater than or equal to 20mm. HSEMR carries an increased risk of complications. These include delayed bleeding, perforation, and post-polypectomy syndrome, along with residual or recurrent adenomatous (RRA). More recently, Cold Snare Endoscopic Mucosal Resection (CSEMR) technique has been used selectively for polyps greater than 20mm. Published studies have demonstrated a significantly lower adverse event rate of complications as compared with HSEMR. RRA utilizing CSP remains a concern, with a recent publication reporting a recurrence of 34.8% on follow-up endoscopy. We present the experience at a single Canadian academic centre with patients undergoing CSEMR for polyps greater than 20mm. Aims To demonstrate the efficacy and safety of cold snare endoscopic mucosal resection CSEMR of large (greater than or equal to 20mm) polyps at a single Canadian academic centre. Methods We retrospectively reviewed colonoscopies performed by endoscopists employing this technique at our centre from January 2020 to August 2021. 15 total cases were identified for patients with polyps greater than or equal to 20 mm, removed by CSEMR technique. Results Patient age ranged from 41 to 76, with a median patient age was 66. There were 10 males and 5 females. There were no adverse events intraoperatively. 15/15 (100%) polyps were successfully resected using CSEMR technique. Polyp size ranged from 2 cm to 7 cm, and there was a median polyp size of 3 cm. 14/15 (93%) polyps were proximal to the splenic flexure, with 1/15 (7%) polyp in the rectum. 6/15 (40%) patients received snare tip soft coagulation to the edges of the polypectomy site. Polyp histology included 7 tubular adenomas, 3 tubulovillous adenomas, 4 sessile serrated polyps, and one hyperplastic polyp. Two patients were on aspirin 81 mg daily, and there were zero patients on any other antiplatelets or anticoagulation. 1/15 patient presented with late bleeding requiring emergent colonoscopy. There were no immediate or delayed perforations or other serious adverse events recorded. Approximately 50% of patients have had follow-up colonoscopy within 3–6 months of their initial procedure. Follow-up ranged from 12 to 252 days, with a median time to follow up of 171 days. 3/7 (43%) patients had histologic evidence of recurrence at follow-up colonoscopy, all of which were successfully treated endoscopically. Conclusions Selective CSEMR is a safe and effective technique, with a low risk of complications. There may be a higher rate of residual polyp at follow-up colonoscopy compared to HSEMR. This data will need further validation with a larger sample size. Funding Agencies None

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.032
GPT teacher head0.290
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2022
Admission routes2
Has abstractyes

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