MétaCan
Menu
← Back to cohort
Record W2886290918 · doi:10.1158/1538-7445.am2018-2204

Abstract 2204: Influence of chronic comorbidities on colorectal cancer screening adherence in a population-based Canadian cohort

2018· article· en· W2886290918 on OpenAlexaffabout
Dominika Bhatia, Rinku Sutradhar, Jill Tinmouth, Simron Singh, Lorraine L. Lipscombe

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineColorectal cancerPopulationCohortFecal occult bloodSigmoidoscopyColonoscopyCancerCancer screeningCOPD

Abstract

fetched live from OpenAlex

Abstract Background: Regular screening for colorectal cancer (CRC) is associated with a lower stage at diagnosis and improved survival. National guidelines recommend periodic screening for adults aged 50-74 years. Chronic diseases may distract from regular screening and increase CRC burden. We sought to determine whether having certain chronic conditions is associated with a lower rate of CRC screening adherence. Methods: Using linked healthcare databases from Ontario, Canada, we assembled a population-based cohort of adults aged 50-74 years, who were eligible and overdue for routine CRC screening (fecal occult blood testing > 2 years, sigmoidoscopy > 5 years, or colonoscopy > 10 years) at any point between April 1, 2004 and March 31, 2016. We implemented Andersen-Gill extended Cox models for recurrent events using an age time scale to examine the impact of chronic conditions on the relative rate (RR, 95% confidence interval, CI) of becoming adherent with periodic CRC tests, adjusted for the relevant time-varying covariates. Results: During the 12-year observation window, included individuals contributed a total of 19,818,050 person-years spent overdue for CRC tests. Over 70% of all CRC tests performed during the study period were fecal occult blood tests. At baseline, of the 4,642,422 individuals that met the inclusion criteria, 31% had hypertension, 12% had diabetes, 9% had chronic obstructive pulmonary disease (COPD), 7% had mental illness, 5% had cardiovascular disease (CVD), 1.6% had congestive heart failure (CHF), and 0.1% had end-stage renal disease (ESRD). After adjustment for sociodemographic and health system factors, the highest rates of nonadherence were observed for ESRD on dialysis (RR 0.66, CI 0.63-0.68), CHF (RR 0.75, CI 0.75-0.76), COPD (RR 0.84, CI 0.83-0.84), CVD (RR 0.85, CI 0.84-0.85), diabetes (RR 0.86, CI 0.86-0.87), and mental illness (RR 0.88, CI 0.87-0.88). Hypertension (RR 0.98, CI 0.97-0.98) and ESRD with kidney transplant (RR 1.00, CI 0.84-1.19) were associated with modest to no risk. Conclusion: The presence of a major chronic condition is associated with lower adherence to CRC screening. Future studies should explore reasons for lower CRC screening adherence in individuals with chronic conditions and the appropriateness of secondary cancer prevention and early diagnosis in this population. Citation Format: Dominika Bhatia, Rinku Sutradhar, Jill Tinmouth, Simron Singh, Lorraine Lipscombe. Influence of chronic comorbidities on colorectal cancer screening adherence in a population-based Canadian cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2204.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.024
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.072
GPT teacher head0.400
Teacher spread0.328 · 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueCancer Research→Same topicColorectal Cancer Screening and Detection→French-language works237,207→