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The Role of Diet and Lifestyle in Colorectal Cancer Incidence and Survival

2022· book-chapter· en· W4283651565 on OpenAlexaff
Jillian Vallis, Peter Wang

Bibliographic record

VenueExon Publications eBooks · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsColorectal cancerMedicineIncidence (geometry)EtiologyEpidemiologyCancerRed meatPopulationInternal medicineOncologyEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Colorectal cancer is one of the most prevalent malignancies in the population, resulting in significant morbidity and mortality world-wide. Identifying modifiable risk factors to reduce the incidence and morbidity of colorectal cancer is beneficial on an individual and public health level. Protective lifestyle factors against colorectal cancer incidence includes high levels of physical activity, healthy diets rich in fruits and vegetables, fish, dietary fiber, dairy, and all essential vitamins and minerals. Risk factors for increased colorectal cancer incidence includes a diet high in red and processed meat, alcohol, and tobacco. The evidence regarding the influence of specific vitamins and minerals is still evolving, as well as the etiology behind their mechanism of action in colorectal pathogenesis. Ongoing epidemiological studies are underway to determine the effects of various lifestyle factors on colorectal cancer survival. Overall, lifestyle modification is essential for prevention and treatment of colorectal cancer for improved patient outcomes.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations17
Published2022
Admission routes1
Has abstractyes

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