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Adjuvant chemotherapy (AC) use and outcomes in stage II colon cancer (CC) with and without poor prognostic features.

2012· article· en· W2602724080 on OpenAlexaff
Aalok Kumar, Hagen F. Kennecke, Howard J. Lim, Daniel J. Renouf, Ryan Woods, Caroline Speers, Winson Y. Cheung

Bibliographic record

VenueJournal of Clinical Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineInternal medicinePerineural invasionStage (stratigraphy)Lymphovascular invasionProportional hazards modelOncologyAdjuvantCancerGastroenterologyMetastasis

Abstract

fetched live from OpenAlex

3527 Background: AC is frequently considered inpatients (pts) with "high risk" stage II CC, defined by the presence of >/=1 poor prognostic features, such as obstruction or perforation, T4 stage, <12 lymph nodes retrieved, positive margins, and lymphovascular or perineural invasion. However, survival benefits associated with AC use in high risk pts remain largely unproven. Our aims were to 1) examine patterns of AC use in stage II CC and 2) explore the relationship between AC use and survival in high vs low risk pts. Methods: All pts diagnosed with stage II CC in British Columbia from 1999 to 2008 and evaluated at any 1 of 5 regional centers were reviewed. Kaplan-Meier and Cox regression methods were used to correlate a) high vs low risk status and b) receipt of AC with relapse-free (RFS), disease specific (DSS) and overall survival (OS). Results: We identified 1,697 stage II CC pts: 1,236 (73%) high risk and 461 (27%) low risk among whom 363 (29%) and 61 (13%) received AC, respectively. Individuals with high risk features who received AC were younger (median 62 vs 72 years, p<0.001) and had better performance status (ECOG 0/1 47% vs 34%%, p=0.02). In the high risk group, AC was associated with improved 5-year OS, but not with RFS or DSS (Table). After adjusting for confounders, an OS advantage from AC persisted for high risk pts (HR 0.67, 95CI 0.52-0.86, p=0.002), but no significant RFS or DSS benefits were seen (HR 0.76, 95CI 0.58-0.99, p=0.05 and HR 0.75, 95CI 0.55-1.02, p=0.11, respectively). Subgroup analyses showed that individuals with T4 lesions had improved RFS (HR 0.63, 95CI 0.42-0.95, p=0.03), DSS (HR 0.59, 95CI 0.37-0.93, p=0.02), and OS (HR 0.50, 95CI 0.33-0.77, p=0.002). Conclusions: In this population-based cohort of stage II CC, AC was associated with an OS advantage in high risk pts, likely due to pt selection. RFS and DSS benefits were mainly seen in T4 lesions, suggesting a limited role for AC in pts deemed high risk based on clinical and pathological factors. Risk stratification based on molecular testing should be further explored. [Table: see text]

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)0.000
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.101
GPT teacher head0.464
Teacher spread0.363 · 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
Published2012
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