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Record W1604613409 · doi:10.1002/cncr.29072

Adjuvant chemotherapy use and outcomes of patients with high‐risk versus low‐risk stage II colon cancer

2014· article· en· W1604613409 on OpenAlexaff
Aalok Kumar, Hagen F. Kennecke, Daniel J. Renouf, Howard J. Lim, Sharlene Gill, Ryan Woods, Caroline Speers, Winson Y. Cheung

Bibliographic record

VenueCancer · 2014
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineInternal medicineHazard ratioProportional hazards modelConfidence intervalCancerColorectal cancerOncologyPopulationStage (stratigraphy)

Abstract

fetched live from OpenAlex

BACKGROUND: Adjuvant chemotherapy (AC) is frequently considered in patients with stage II colon cancer who are considered to be at high risk. However, to the authors' knowledge, the survival benefits associated with AC in these patients remain largely unproven. In the current study, the authors sought to examine the use of AC in patients with AJCC stage II colon cancer and to compare the impact of AC on outcomes in patients with high-risk versus low-risk disease in a population-based setting. METHODS: Patients with stage II colon cancer who were evaluated at 1 of 5 regional cancer centers in British Columbia from 1999 to 2008 were analyzed. Kaplan-Meier and Cox regression methods were used to correlate high-risk versus low-risk status and receipt of AC with recurrence-free survival (RFS), disease-specific survival (DSS), and overall survival (OS). RESULTS: A total of 1697 patients were identified: 1286 (76%) with high-risk and 411 (24%) with low-risk disease, among whom 373 (29%) and 51 (12%),respectively, received AC. Individuals with high-risk disease treated with AC were younger (median age, 62 years vs 72 years; P<.001) and had better Eastern Cooperative Oncology Group performance status (0/1: 47% vs 33%; P = .001). For high-risk patients, AC was associated with improved OS (hazard ratio [HR], 0.65; 95% confidence interval [95% CI], 0.50-0.83 [P = .001]). However, no significant benefits with regard to RFS or DSS were observed. Subgroup analyses revealed that AC in patients with T4 disease was associated with significantly improved RFS (HR, 0.63; 95% CI, 0.42-0.95 [P = .03]), DSS (HR, 0.59; 95% CI, 0.37-0.93 [P = .02]), and OS (HR, 0.50; 95% CI, 0.33-0.77 [P = .002]). For patients with low-risk disease, AC was associated with inferior RFS (HR, 2.18; 95% CI, 1.00-4.79 [P = .05]) and DSS (HR, 3.01; 95% CI, 1.10-8.23 [P = .03]). CONCLUSIONS: In this population-based analysis, AC was associated with an OS advantage in high-risk patients, most likely due to patient selection. RFS, DSS, and OS benefits were mainly observed in patients with T4 disease, suggesting a limited role for AC in patients deemed to be high risk by non-T4 features.

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 score0.035
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.014
GPT teacher head0.278
Teacher spread0.265 · 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

Citations176
Published2014
Admission routes1
Has abstractyes

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