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Record W4391886425 · doi:10.1093/jcag/gwad061.129

A129 OUTCOMES FOLLOWING ENDOSCOPIC SUBMUCOSAL DISSECTION OF SUPERFICIAL GASTROINTESTINAL TRACT NEOPLASTIC LESIONS FROM A TERTIARY-CARE ACADEMIC CENTRE

2024· article· en· W4391886425 on OpenAlexaffabout
Shaurya Gupta, Frances Dang, Y Fujiyoshi, S Li, Khaled Khalaf, G May, Jeffrey D. Mosko, Christopher Teshima

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsSt. Michael's HospitalUniversity of CalgaryUniversity of Toronto
Fundersnot available
KeywordsEndoscopic submucosal dissectionTertiary careMedicineGastrointestinal tractDissection (medical)General surgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Endoscopic submucosal dissection (ESD) is an advanced luminal resection technique for dysplastic and early cancerous gastrointestinal (GI) tract neoplasms. By removing lesions en bloc, this method provides more accurate histopathologic evaluation of resection margins in comparison to endoscopic mucosal resection (EMR). Superior curative resection and lower recurrence rates over EMR have been shown in addition to the benefit of reduced morbidity and mortality compared to surgery. While ESD has become well-established in Asia and Europe, its adoption in North America – and in particular Canada – has been slowed by multiple technical and economic factors including a scarcity of infrastructure, institutional support, and standardized training. Additionally, reproduced Canadian data corroborating its known global efficacy is currently lacking. Aims Our aim was to evaluate clinical and technical outcomes in patients who underwent ESD of superficial GI tract neoplasms at a tertiary-care academic centre. Methods We conducted a retrospective single-centre cohort study at The Centre for Advanced Therapeutic Endoscopy & Endoscopic Oncology, St. Michael’s Hospital, Toronto, Canada. Consecutive adults (age ampersand:003E 18) who underwent ESD of any superficial GI tract neoplasm from October 2017 to December 2022 were included in the study. Primary outcomes were rates of en bloc, complete (R0), and curative resections. Secondary outcomes were rates of recurrence and adverse events. Data was collected through electronic chart review. Results ESD was performed in a total of 308 lesions with a mean size of 2.5 cm (range, 1-7 cm). Gastric ESD was the most common (n=130), followed by esophageal (n=91), rectal (n=62), and colonic (n=22). Three patients underwent duodenal ESD. En bloc, R0, and curative resection rates were 89.2%, 84.7%, and 71.8%, respectively. 64.3% of lesions were cancerous on pathology (n=198), of which 48 had at least submucosal invasion. Rates of delayed bleeding and deep mural injury (DMI) requiring surgical intervention were 3.9% and 1.3%, respectively. Overall recurrence at the first surveillance endoscopy (SE1) was 3.6%. Conclusions En bloc, R0, and curative resection rates reported from this largest single-centre Canadian ESD cohort are comparable to existing North American data. Low rates of early recurrence and an adequate safety profile have been demonstrated with this emerging oncologic method of resection. Additional investigation is warranted to optimize lesion selection and determine long-term clinical outcomes to further establish this technique in the management of superficial GI tract neoplasms. Table I. Procedural characteristics, outcomes, and adverse events for patients who underwent ESD of superficial GI tract neoplasms. 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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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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Citations0
Published2024
Admission routes2
Has abstractyes

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