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Record W4415101725 · doi:10.1136/gutjnl-2024-332970

Rectal versus colonic submucosal cancer rates and procedural outcomes in large non-pedunculated polyps: French ESD registry data

2025· article· en· W4415101725 on OpenAlexaff
Véronique Van der Voort, Marion Schaefer, Timothée Wallenhorst, Vincent Lépilliez, Thibault Degand, Yann Le Baleur, Philippe Leclercq, Arthur Berger, Édouard Chabrun, Bertrand Brieau, Maximilien Barret, Gabriel Rahmi, Romain Legros, Jérôme Rivory, Sarah Leblanc, Geoffroy Vanbiervliet, Ludovico Alfarone, Julien Magné, Jean-Baptiste Zeevaert, Jérémie Albouys, Guillaume Perrod, Clara Yzet, Hugo Lepetit, Arthur Belle, Stanislas Chaussade, Florian Rostain, Martin Dahan, Alexandru Lupu, Jean–Baptiste Chevaux, Mathieu Pioche, Jérémie Jacques

Bibliographic record

VenueGut · 2025
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCancerColonic cancerCancer registryColorectal cancerColonic diseaseColonoscopy

Abstract

fetched live from OpenAlex

Background For large non-pedunculated rectal polyps, en bloc resection via endoscopic submucosal dissection (ESD) is typically recommended due to presumed higher risk of submucosal invasive cancer (SMIC) compared with the colon; however, data on cancer risk by location remain controversial. Objective Using the French ESD registry, we compared SMIC rates in large non-pedunculated colorectal polyps in the rectum versus colon. Procedural outcomes were also compared. Design From September 2019 to September 2022, all large non-pedunculated polyps resected by ESD in 13 centres were included. Oncological and procedural outcomes were analysed using propensity score matching (PSM) and inverse probability weighting, accounting for relevant influencing factors. A subgroup analysis was performed on cases from the three largest centres, where such polyps were exclusively treated with ESD. Results Among 3770 lesions, 3310 were analysed. Rectal lesions were larger (56.0 (40; 75) mm vs 47.0 (37; 62) mm), more often granular (80.0% vs 59.4%) and mixed nodular (54.0% vs 32.5%) (p<0.001). After PSM, submucosal cancer rates were not significantly different between rectal and colonic lesions of similar size and morphology (9.8% vs 8.9%, p=0.52). En bloc (97.7% vs 97.3%, p=0.757) and R0 resection rates (89.7% vs 89.5%, p=0.937) were also comparable. Perforation (5.5% vs 7.9%, p=0.057) and surgery for complications (0.1% vs 1.1%, p=0.051) showed a non-significant trend towards higher rates in colonic procedures. Subgroup analysis from the three centres exclusively performing ESD for large non-pedunculated polyps confirmed these findings. Conclusion In our multicentre registry, large non-pedunculated polyps do not show a higher prevalence of SMIC in the rectum compared with colon, when adjusted for relevant factors such as size and morphology. Therefore, risk features, rather than location, should guide the choice of resection technique. Technical outcomes were comparable between rectal and colonic ESD, with a trend for higher complication rates in the colon. Trial registration number NCT04592003 .

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.353
Teacher spread0.325 · 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 teacher head, 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".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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