MétaCan
Menu
Back to cohort
Record W2404438041 · doi:10.5430/jst.v6n2p35

Long-term trends in the incidence and relative survival of colorectal cancer in Canada: A population-based study

2016· article· en· W2404438041 on OpenAlexaffvenueabout
Noori Akhtar‐Danesh, Gileh-Gol Akhtar-Danesh, Paul Moayyedi

Bibliographic record

VenueJournal of Solid Tumors · 2016
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineColorectal cancerRelative survivalIncidence (geometry)Cancer registryCancerPopulationRelative riskRectumDemographyInternal medicineGynecologyOncologyConfidence intervalEnvironmental health

Abstract

fetched live from OpenAlex

Background and aim: Mortality rates for colorectal cancer have decreased since the mid 1990s. This article provides anup-to-date report on the trends in incidence and survival of colorectal cancer in Canada. In this study we investigate the long-termtrends in the incidence and relative survival ratio of colorectal cancer in Canada over the period of 1992-2008. Patients and methods: Patients with primary colorectal cancer were selected from the Canadian Cancer Registry (CCR) dataset.Patients younger than 18 years of age were excluded. A flexible parametric model was used to estimate two- and five-year relativesurvival ratios and excess mortality rate. Results: In total 159,360 patients with invasive colorectal cancer were identified of which 84,856 (53.2%) were male, 96,495(60.6%) were diagnosed with colon cancer, and 62,865 (39.4%) with the cancer of rectum. Mean age at diagnosis was 68.2 years( SD = 12.1) for men and 70.9 years ( SD = 13.0) for women. The incidence of colorectal cancer remained almost the same formen and women in this period. Except for patients with 70 years and older, two- and five-year relative survival ratios slightlyimproved over time for both sexes. Conclusion: The incidence rate of colorectal cancer remained unchanged and the two- and five-year relative survival ratiossteadily increased for men and women over the study period. Although we used data up to 2008, screening programs in Canadahave been implemented since 2010, therefore, incidence rates may change thereafter and advancements in treatment could furtherimprove the survival of colorectal cancer patients.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.601
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.304
Teacher spread0.285 · 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 teacher head, 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
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Solid TumorsSame topicColorectal Cancer Screening and DetectionFrench-language works237,207