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Record W4391163646 · doi:10.1093/ecco-jcc/jjad212.0318

P188 Cumulative inflammatory burden as a risk factor for colorectal neoplasia in inflammatory bowel disease patients with primary sclerosing cholangitis: a multi-center case-control study

2024· article· en· W4391163646 on OpenAlexaffabout
L van Lierop, Monica E. W. Derks, Maarten te Groen, Cuong Tran, Ellina Lytvyak, Gerard Dijkstra, Aldo J. Montaño‐Loza, Frank Hoentjen

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsMedicinePrimary sclerosing cholangitisInternal medicineInflammatory bowel diseaseColonoscopyGastroenterologyUlcerative colitisCrohn's diseaseConcomitantDiseaseRisk factorColectomySingle CenterColorectal cancerCancer

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel disease (IBD) patients with concomitant primary sclerosing cholangitis (PSC-IBD) have a 25-year cumulative risk of up to 50% to develop colorectal neoplasia (CRN). Mucosal inflammation is an important driver of CRN, but it is unknown whether this also applies to PSC-IBD patients. We aimed to assess the impact of chronic mucosal inflammation per colonic segment on CRN risk in PSC-IBD patients. Methods This is a multi-center case-control study including cases with PSC-IBD and CRN and controls with PSC-IBD without CRN. Subjects were included from 8 medical centers in Canada and the Netherlands. Exclusion criteria were a CRN diagnosis prior to IBD or PSC diagnosis, familial CRC syndromes, and <2 available colonoscopy reports. Data was collected on demographics, IBD and PSC disease characteristics, CRN lesions, and endoscopy reports between 1977 and 2023. Pan-colonic and segmental (right colon, transverse colon, left colon, rectum) endoscopic cumulative inflammatory burden scores were calculated as the sum of (mean) endoscopic inflammation severity between colonoscopies x length of the surveillance interval until index procedure. The index procedure was the colonoscopy during which CRN was detected (cases) or randomly selected and matched for disease duration (controls). The primary outcome was a CRN diagnosis, secondary outcomes were CRN grade and location, time to CRN (Kaplan-Meier curve), pan-colonic cumulative inflammatory burden, cumulative inflammatory burden per colonic segment harboring CRN, and colonic surgery. Results We included 335 PSC-IBD patients (224 UC, 101 CD) with a median follow-up of 8 years (IQR: 5.0-14.0) and 6 endoscopies (IQR: 4.0-8.0). Median disease duration was 19.5 years for IBD (IQR: 11.0-26.0) and 13 years for PSC (IQR: 7.0-19.0). Advanced neoplasia (HGD or CRC) was found in 35 out of 102 cases (34%). Fifty-six (55%) cases were diagnosed with > 1 lesion, and 43 (42%) had ≥ 1 right-sided lesion. Median time to index CRN was 17 years (IQR: 8.0-24.0). Sixty-six patients underwent (sub)total colectomy or proctocolectomy, including 49 (74%) due to CRN diagnosis. There was no difference in pan-colonic cumulative inflammatory burden scores (mean scores: 4.7 (cases) and 3.7 (controls); P=0.21, 95%-CI: -2.52-.56) and segmental scores (mean scores: 4.9 (cases) and 4.1 (controls); P=0.27, 95%-CI: -2.29-.65) between cases and controls. Mortality was 13% (n=45.) Conclusion In this large multi-center cohort study, the risk for CRN-associated colectomy in PSC-IBD was high, while pan-colonic and segmental cumulative inflammatory burden scores were not associated with CRN risk.

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)0.002
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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
Published2024
Admission routes2
Has abstractyes

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