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Record W4253428733 · doi:10.1093/ibd/izy393.099

07 A SIGNIFICANT DECLINE IN COLECTOMY RATES FOR COLORECTAL CANCER IN PATIENTS WITH ULCERATIVE COLITIS

2019· article· en· W4253428733 on OpenAlexaboutno aff
Sherman Picardo, Cynthia H. Seow, Kerri L. Novak, Remo Panaccione, Gilaad G. Kaplan

Bibliographic record

VenueInflammatory Bowel Diseases · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisColorectal cancerColectomyInternal medicineIncidence (geometry)Inflammatory bowel diseasePopulationCancerGastroenterologyPrimary sclerosing cholangitisCohortDiagnosis codeDiseaseEnvironmental health

Abstract

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Patients with ulcerative colitis (UC) are at increased risk of developing colorectal cancer. Independent risk factors include age, gender, extent and duration of disease activity, concurrent primary sclerosing cholangitis, a family history of sporadic colorectal cancer and severity of histologic bowel inflammation. Surveillance programs have been introduced to facilitate early detection of pre-malignant lesions, however, the efficacy of these programs have not been established. Technological endoscopic advancements and improved treatment options may also reduce the incidence of colorectal cancer in this population. To explore temporal trends in colectomy rates for colorectal cancer, in patients with ulcerative colitis. A population-based prevalent cohort of patients with ulcerative colitis (UC) from Alberta, Canada (2003-2015) was derived from administrative databases, based on a previously validated method.1 The Discharge Abstract Database (DAD) was used to identify patients admitted for colectomy (Canadian Classification of Health Interventions procedure code (CCI): 1.NM.87, 1.NM.89, 1.NM.91, 1.NQ.89, 1.NQ.90) and with a diagnosis of colorectal cancer (International Classification of Disease -10 diagnosis code (ICD-10): C18.X (1-9), C19, C20.) Annual incidence was calculated by dividing the total number of colectomies for cancer by the at risk number of prevalent UC patients each fiscal year. Time trend analysis of colectomy rates for cancer was performed using a generalized linear model, assuming a Poisson distribution, using year of admission as the primary predictor, while adjusting for age and gender. Join-point regression was used to identify significant inflection points in temporal trends. 112 patients with ulcerative colitis underwent a colectomy for colorectal cancer between 2003 and 2015, with an average annual colectomy rate of 1.32 per 1000 UC patients at risk. Average annual colectomy rates were higher in males and in increasing age categories. (Table 1) There was a significant reduction in colectomy rates over time. (IRR= 0.914, 95% CI: 0.868-0.961, p<0.001) (Figure 1) No significant inflection points were identified with join-point regression analysis. There has been a significant decline in colectomy rates for colorectal cancer in patients with ulcerative colitis, with an annual reduction of 8.6%, between 2003 and 2015. This is likely attributable to development and utilisation of surveillance programs and improvements in treatment options for patients with UC. 1. Rezaie A, Quan H, Fedorak RN, Panaccione R, Hilsden RJ. Development and validation of an administrative case definition for inflammatory bowel diseases. Canadian Journal of Gastroenterology 2012;26(10):711-717.

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 score0.246
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.004
GPT teacher head0.241
Teacher spread0.237 · 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
Published2019
Admission routes1
Has abstractyes

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