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Record W2751704934 · doi:10.1002/cncr.30950

Muscle mass at the time of diagnosis of nonmetastatic colon cancer and early discontinuation of chemotherapy, delays, and dose reductions on adjuvant FOLFOX: The C‐SCANS study

2017· article· en· W2751704934 on OpenAlexaff
Elizabeth M. Cespedes Feliciano, Valerie S. Lee, Carla M. Prado, Jeffrey A. Meyerhardt, Stacey Alexeeff, Candyce H. Kroenke, Jingjie Xiao, Adrienne Castillo, Bette J. Caan

Bibliographic record

VenueCancer · 2017
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
FundersNational Cancer Institute
KeywordsMedicineFOLFOXDiscontinuationColorectal cancerChemotherapyCancerOncologyAdjuvant chemotherapyAdjuvantInternal medicineMuscle massOxaliplatinSurgeryBreast cancer

Abstract

fetched live from OpenAlex

BACKGROUND: For many chemotherapy regimens dosed based on body surface area (BSA), patients experience dose reductions or delays or discontinue treatment, thereby reducing survival. Consideration of body composition may be useful in individualizing chemotherapy dosing, but to the authors' knowledge few studies to date have examined the association of body composition with chemotherapy tolerance in patients with colon cancer. METHODS: The authors identified patients with nonmetastatic colon cancer who were diagnosed from 2006 through 2011 at Kaiser Permanente and who received leucovorin calcium/calcium folinate, 5-fluorouracil, and oxaliplatin (FOLFOX) as initial adjuvant chemotherapy (533 patients). Patients' muscle mass was quantified using clinically acquired computed tomography scans. The authors quantified chemotherapy doses, treatment dates, and related toxicities using the electronic medical record. In logistic regression models adjusting for age, sex, and American Joint Committee on Cancer stage of disease, the authors examined associations of muscle tertiles with early treatment discontinuation (<6 cycles), treatment delay (>3 days off schedule for ≥3 times), and/or dose reduction (relative dose intensity ≤ 0.70, based on planned treatment). RESULTS: . Compared with the highest sex-specific tertile of muscle mass, patients in the lowest tertile were more likely to experience toxicities and had twice the risk of adverse outcomes while receiving FOLFOX; for early discontinuation, the odds ratio (OR) was 2.34 (95% confidence interval [95% CI], 1.04-5.24; P for trend = .03), whereas the ORs were 2.24 (95% CI, 1.37-3.66; P for trend = .002) for treatment delay and 2.28 (95% CI, 1.19-4.36; P for trend = .01) for dose reduction. CONCLUSIONS: Lower muscle mass is associated with greater toxicity and poor chemotherapy adherence among patients receiving FOLFOX. Many chemotherapy drugs are dosed based on BSA, but treatment may be better individualized if muscle mass is considered. Cancer 2017;123:4868-77. © 2017 American Cancer Society.

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)0.004
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.043
GPT teacher head0.367
Teacher spread0.324 · 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

Citations114
Published2017
Admission routes1
Has abstractyes

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