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S1112 Incidence and Outcomes of Prostate Cancer in Patients With Inflammatory Bowel Disease: A Canadian Population-Based Study

2023· article· en· W4387751455 on OpenAlexaffabout
Joëlle St‐Pierre, Stephanie Coward, Remo Panaccione, Cynthia H. Seow, Sanjay K. Murthy, Harminder Singh, Eric I. Benchimol, M Ellen Kuenzig, Steven J. Heitman, David T. Rubin, Gilaad G. Kaplan

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversity of TorontoSickKids FoundationUniversity of ManitobaUniversity of OttawaUniversity of Calgary
Fundersnot available
KeywordsMedicineProstate cancerOdds ratioCancerPopulationInternal medicineIncidence (geometry)Confidence intervalOncologyGynecology

Abstract

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Introduction: Prostate cancer is the most common cancer among men, and recent studies have shown an increased risk of prostate cancer in those with inflammatory bowel disease (IBD). Yet, other than expert recommendations for PSA screening in patients above 40 with ileal-pouch anastomoses, the screening and treatment guidelines for prostate cancer in men with IBD do not differ from the general population. The goals of our study were to assess if patients with IBD are: 1) at increased odds of prostate cancer; 2) at increased odds of advanced cancer and death, and, 3) receiving different first-line treatments for prostate cancer. Methods: We conducted a population-based matched cohort study using a Canadian population-based administrative database from April 2002 to March 2018 to identify patients with IBD (n = 17,022), and age- and sex-matched 10-to-1 to healthy controls (n = 136,819). Specific data was then obtained from a cancer-specific database. Average annual percentage change (AAPC) in age standardized incidence of prostate cancer was calculated using Poisson regression. Comparisons were done using either Wilcoxon Rank-sum or Fisher’s exact tests. Odds ratios (ORs) and their 95% confidence intervals (95%CI) were calculated using conditional logistic regression for the overall odds of prostate cancer diagnosis and logistic regression for ORs specific to only those with prostate cancer. Results: Of the patients included, 1.58% of patients with IBD were diagnosed with prostate cancer, in comparison to 2.65% in the control group [OR 0.65, (95%CI 0.57, 0.73)]. From 2002 to 2018 the incidence of prostate cancer decreased in those with IBD (AAPC=-3.65%; 95%CI -6.56, -0.64) and in the control group (AAPC=-1.74%; 95%CI: -2.56, -0.92). The median age of diagnosis of prostate cancer was similar between the two groups (P = 0.83). Among patients with prostate cancer, those with IBD had an increased odds of having stage IV prostate cancer (OR 2.94 [95%CI: 1.95, 4.42]), as well as having surgery as their first line of treatment (OR 1.3 [95%CI: 1.03, 1.69]). The odds of death from prostate cancer were increased among patients with IBD (OR 2.46 [95%CI: 1.47, 4.09]). Conclusion: While prostate cancer was less common in those with IBD compared to controls, a diagnosis of prostate cancer is associated with more advanced stage and mortality in these patients. Further studies assessing the risk of prostate cancer in patients with IBD are critical in adapting our cancer screening and treatment options to this population (Table 1). Table 1. - Incidence, age and stage of diagnosis, treatment and death of prostate cancer in patients with IBD. Average annual percent change shows the change in incidence of prostate cancer from April 1, 2002 to March 31, 2018. Odds ratios (OR) with 95% confidence intervals (CI) compare outcomes (diagnosis of prostate cancer, stage at diagnosis, treatment, and mortality) in those with IBD as compared to controls IBD (n = 269) Control group (n = 3628) Odds Ratio (95%CI) Average annual percentage change (%) -3.65 (95% CI: -6.56, -0.64) -1.74 (95%CI: -2.56, -0.92) Being diagnosed with Prostate Cancer: 0.65 (0.57, 0.73) Median age in years (Q1, Q3) 66 (60, 73) 67 (60,73) Stage at diagnosis (n, %) I & II 165 (61.3%) 2282 (62.9%) 0.94 (0.94, 1.46) III 23 (9.4%) 328 (10.6%) 0.94 (0.60, 1.46) IV 31 (12.7%) 154 (5.0%) 2.93 (1.95, 4.42) Unknown/Missing data 26 (9.7%) 864 (23.8%) First-line treatment Surgery 130 (48.3%) 1503 (41.4%) 1.32 (1.03, 1.69) Hormone-based therapy 59 (21.9%) 761 (21.0%) 1.06 (0.78, 1.43) Radiotherapy 15 (5.9%) 409 (11.3%) 0.46 (0.27, 0.79) Surveillance/No treatment 64 (23.8%) 939 (25.6%) 0.89 (0.67, 1.20) Death Prostate cancer death 36 (13.3%) 73 (2.0%) 2.46 (1.47, 4.09)

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 score0.019
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.256
Teacher spread0.250 · 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
Published2023
Admission routes2
Has abstractyes

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