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Record W2965717088 · doi:10.1002/pbc.27941

Colorectal cancer in adolescents and young adults: Defining a growing threat

2019· review· en· W2965717088 on OpenAlexaff
Oren Levine, Kevin Zbuk

Bibliographic record

VenuePediatric Blood & Cancer · 2019
Typereview
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineColorectal cancerDiseaseYoung adultContext (archaeology)Incidence (geometry)PopulationLynch syndromeGerontologyCancerStage (stratigraphy)OncologyPediatricsDemographyInternal medicineEnvironmental healthDNA mismatch repair

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) incidence is rising among adolescents and young adults (AYAs), with the greatest increase occurring in distal colon and rectal cancers. Reasons for this striking trend are not well understood. Genetically linked cases of CRC occur in the context of familial conditions such as Lynch Syndrome, but most AYA cases of CRC are sporadic. Unique biology is suggested, yet limited information is available regarding the molecular underpinnings of CRC in this age group. Young patients are more likely to experience delays in diagnosis and to present with advanced-stage disease; yet, prognosis by stage is comparable between younger and older adults. Treatment paradigms are based on evidence reflecting the older adult population. Given the concerning rise in CRC rates among AYAs, there is urgent need for further research into the role of screening from a younger age, biology of disease, and optimal therapies in this age group.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations52
Published2019
Admission routes1
Has abstractyes

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