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Record W4407285866 · doi:10.1093/jcag/gwae059.119

A119 CLINICAL MANAGEMENT OF PATIENTS WITH COLORECTAL INTRAMUCOSAL CARCINOMA COMPARED TO HIGH-GRADE DYSPLASIA AND T1 COLORECTAL CANCER

2025· article· en· W4407285866 on OpenAlexaff
Edgard Medawar, Roupen Djinbachian, Michael Vieth, Heiko Pohl, Ioana Popescu Crainic, Mahsa Taghiakbari, Paola Marques, Daniel Kaufman, F Huang, Daniel von Renteln

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcMaster UniversityUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsColorectal cancerMedicineDysplasiaInternal medicineGastroenterologyOncologyGeneral surgeryCancer

Abstract

fetched live from OpenAlex

Abstract Background In the colorectum, intramucosal carcinoma (IMC), like high-grade dysplasia (HGD), should be resected endoscopically. Aims We were interested to understand how real-world treatment of IMC cases compares to the management of HGD and T1 colorectal cancer (CRC). Methods A multicenter retrospective cohort study was conducted. Through pathology databases, all patients diagnosed between 2010 and 2019 with HGD, IMC or T1 CRC were identified. Pathology and endoscopy reports were verified for HGD, IMC or T1 CRC polyps. The primary outcome was the proportion of surgical management of IMC compared to HGD and T1 cancer. Secondary outcomes were the adjusted odds ratios (OR) for surgical management, proportions of synchronous advanced neoplasia, and adjusted hazard ratios (HR) for metachronous advanced neoplasia. Results We identified 455 patients with follow-up endoscopy and pathology (mean age 67.1y, 42.2% female, median follow-up 3.4y): 269 with HGD, 60 with IMC, 126 with T1 CRC. Compared to patients with HGD, patients with IMC were significantly more likely to receive a CT of the abdomen despite a complete endoscopic resection (52.6% vs 13.2%, p<0.001). Surgery rates were 15.2% for HGD, 36.7% for IMC and 84.1% for T1 CRC (p<0.001). When evaluating reasons for surgery, patients with IMC were more likely to undergo unnecessary surgery after a complete endoscopic resection compared to patients with HGD (22.7% of surgical resection reasons in IMC group vs 0% in HGD group, p<0.001). After adjusting for select factors potentially affecting the decision for surgical management and that differed between groups (age, family history of CRC, lesion location, size and morphology, multiplicity of synchronous lesions, colonoscopy indication/context), the adjusted odds of surgery remained significantly higher in patients with IMC compared to HGD (OR 2.62 [1.18-5.85]). Proportions of synchronous advanced neoplasia were 24.2% for HGD, 26.7% for IMC and 25.4% for T1 CRC (p=0.908). The proportion of metachronous advanced neoplasia was 26.8% in the HGD group, 18.3% in the IMC group and 20.6% in the T1 CRC group (p=0.227). Compared to HGD, patients with IMC and T1 CRC had similar adjusted metachronous advanced neoplasia risks (respectively, HR 0.82 [0.43-1.59] and HR 1.16 [0.66-2.05]). No lymph nodes were positive (0/363) and no metastasis occurred among patients with IMC. Conclusions Patients diagnosed with colorectal IMC are more likely to receive imaging and surgery than when HGD is diagnosed, although they are not at increased risk of synchronous advanced neoplasia, metachronous advanced neoplasia, lymph node involvement or metastasis. Labeling colorectal lesions as IMC is associated with unnecessary surgical resections. Funding Agencies TRIANGLE

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.263
Teacher spread0.254 · 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
Published2025
Admission routes1
Has abstractyes

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