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Record W7055366883

A comparative study of the adjuvant management of and survival from colon cancer in the two Canadian provinces of Newfoundland & Labrador and Ontario

2008· dissertation· en· W7055366883 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2008
Typedissertation
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsColorectal cancerAdjuvant chemotherapyCancerDiseaseStage (stratigraphy)PopulationCancer registry
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The crCIHRt collaboration between Newfoundland and Ontario (2000-present) is an interdisciplinary study of the determinants of and impact from colorectal cancer (CRC) between these two Canadian provinces. It includes an evaluation of the adjuvant treatment of CRC and overall survival from this common disease. Clinical Practice Guidelines (CPGs) for the adjuvant treatment of surgically curable (Stage I-III) colon cancer have not previously been evaluated in Canada. Canadian Cancer Statistics (CCS) have shown that overall survival from CRC is better in Ontario. The aims of this study were to evaluate whether adjuvant chemotherapy for Stage I-III colon cancer in the two provinces is concordant with accepted CPGs and to contrast overall survival from colon cancer in comparison with data from CCS. -- METHODS: In Newfoundland, all incident cases of colon cancer diagnosed between January 1, 1999 and December 31, 2000, ages 20-74 were included. In Ontario, all patients with a high- or intermediate-risk pedigree and a random sample of those with a low-risk pedigree for colon cancer, ages 18-74, diagnosed between January 1, 1999 and June 30, 2000 were offered participation in the study. Data was retrospectively retrieved using a standardized extraction form and quality assurance was undertaken through a random re-extraction by two physician researchers. The charts of all patients with stage II disease were qualitatively assessed to determine what factors were used to recommend chemotherapy to these patients. This was contrasted with CPGs recommending chemotherapy only in stage II patients with 'high-risk' features. An overall survival comparison between the two provinces was contrasted with age-standardized projections from CCS suggesting that Newfoundland experiences a worse overall survival than Ontario from CRC. -- RESULTS: 173/274 (63%) and 364/514 (71%) eligible patients consented in Newfoundland and Ontario, respectively. -- No one with stage I colon cancer in either province received adjuvant chemotherapy. 20/55 patients (36%) in Newfoundland and 44/116 evaluable patients (38%) in Ontario received adjuvant therapy for stage II disease. 18/41 patients (44%) in Newfoundland and 30/53 patients (57%) in Ontario with high-risk features received adjuvant treatment, significantly higher than patients without high-risk features. On multivariate analysis, age < 50 years was shown to be an independent predictor for the use of chemotherapy in stage II patients. 45/52 patients (87%) in Newfoundland and 108/115 patients (94%) in Ontario with stage III disease received adjuvant chemotherapy. -- Kaplan-Meier survival analysis revealed that overall 5-year survival from colon cancer was significantly better in Ontario. Exclusion of patients consented by proxy in Newfoundland negated this survival advantage. -- DISCUSSION: Concordance with CPGs for adjuvant chemotherapy in stage II colon cancer was not optimal. This may reflect selection bias of referring surgeons, a paucity of level I evidence and the belief that other factors such as age may play a role in predicting outcome. Ontario showed a significantly better overall survival, however, this advantage was lost when bias introduced through recruitment methods was controlled for. Methods to ensure consistency and appropriate resource allocation in the development, adaptation and implementation of CPGs and the importance of minimizing bias in survival analysis are discussed.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.271
Teacher spread0.242 · 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 designQualitative
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
Published2008
Admission routes1
Has abstractyes

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