MétaCan
Menu
Back to cohort

Nut consumption and survival in stage III colon cancer patients: Results from CALGB 89803 (Alliance).

2017· article· en· W2735633287 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineInternal medicineHazard ratioProportional hazards modelGlycemic loadType 2 diabetesCancerProspective cohort studyColorectal cancerSurgeryGlycemic indexDiabetes mellitusGlycemicConfidence intervalInsulinEndocrinology

Abstract

fetched live from OpenAlex

3517 Background: Recent prospective cohort studies suggest states of energy excess and hyperinsulinemia, including type 2 diabetes (T2D), obesity, sedentary lifestyle, Western pattern diet, increased dietary glycemic load, high intake of sugar-sweetened beverages, and elevated plasma C-peptide are each associated with an increased risk of colon cancer (CC) recurrence and mortality. Conversely, observational studies indicate that increasing nut intake is associated with lower risk of T2D, metabolic syndrome and insulin resistance. However, the effect of nut intake on CC recurrence and survival is unknown. Methods: We conducted a prospective, observational study of 826 patients with stage III CC who reported dietary intake with food frequency questionnaires while enrolled in a randomized adjuvant chemotherapy trial. Using Cox proportional hazards regression, we assessed associations of nut intake with cancer recurrence and mortality. The primary endpoint was disease-free survival (DFS) defined as time from completion of dietary questionnaire following adjuvant therapy to cancer recurrence, death or last follow-up. Results: Compared to patients who abstained from nuts, those who consumed ≥ 2 servings of nuts per week had an adjusted hazard ratio (HR) of 0.58 (95% CI, 0.37 to 0.92; P trend = 0.03) for DFS and 0.43 (95% CI, 0.25 to 0.74; P trend = 0.01) for overall survival (OS). On subgroup analysis, the significant association was confined to tree-nut intake: HR = 0.54 (95% CI, 0.34 to 0.85; P trend = 0.04) for DFS and HR = 0.47 (95% CI, 0.27 to 0.82; P trend = 0.04) for OS. There was no significant association between intake of peanut or peanut butter and patient outcome. Association of total nut intake with improved outcomes was maintained across other known or suspected predictors of recurrence and mortality, including across common genomic alterations (microsatellite instability, KRAS mutation, BRAF mutation, and PIK3CA mutation). Conclusions: Higher consumption of nuts may be associated with significantly reduced cancer recurrence and death in patients with stage III CC. Support: U10CA180821, U10CA180882, Pfizer. Clinical trial information: NCT00003835.

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.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.125
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 integrity0.0000.001
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 head0.141
GPT teacher head0.484
Teacher spread0.343 · 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