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Record W2989559026

Colorectal cancer screening for patients with a family history of colorectal cancer or adenomas.

2019· article· en· W2989559026 on OpenAlexaffabout
Anna N. Wilkinson, David A. Lieberman, Grigorios I. Leontiadis, Frances Tse, Alan Barkun, Ahmed M Abou-Setta, John K. Marshall, Jewel Samadder, Harminder Singh, Jennifer J. Telford, Jill Tinmouth, Desmond Leddin

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsResearch Institute in Oncology and HematologyCancerCare ManitobaSunnybrook Health Science CentreMcGill University Health CentreMcMaster UniversityGeorge & Fay Yee Centre for Healthcare InnovationHamilton Health SciencesUniversity of British ColumbiaMcMaster University Medical CentreCollege of Family Physicians of Canada
Fundersnot available
KeywordsMedicineFamily historyColorectal cancerColonoscopyGrading (engineering)MEDLINEInternal medicineFirst-degree relativesCancerFamily medicineColorectal adenomaOncology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review and summarize the recently developed Canadian Association of Gastroenterology screening recommendations for patients with a family history of colorectal cancer (CRC) or adenoma from a family medicine perspective. QUALITY OF EVIDENCE: Known hereditary syndromes were excluded. The Grading of Recommendations Assessment, Development and Evaluation methodology was used to establish certainty in reviewed evidence. Most recommendations are conditional recommendations with very low-quality evidence. MAIN MESSAGE: Individuals who have 1 first-degree relative (FDR) with CRC or an advanced adenoma diagnosed at any age are recommended to undergo colonoscopy every 5 to 10 years starting at age 40 to 50 years or 10 years younger than the age at diagnosis of the FDR, although fecal immunochemical testing at an interval of every 1 to 2 years can be used. Individuals with FDRs with non-advanced adenomas or a history of CRC in second-degree relatives should be screened according to average-risk guidelines. Lifestyle modification can statistically significantly decrease risk of CRC and should be considered in all patients. CONCLUSION: These guidelines acknowledge the many factors that can increase an individual's risk of developing CRC and allow for judgment to be employed depending on the clinical scenario. Lifestyle advice already given to patients for weight, blood pressure, and heart disease management will reduce the risk of CRC if implemented, and this combined with more targeted screening for higher-risk individuals will hopefully be successful in decreasing CRC mortality in Canada.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.656

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 head0.026
GPT teacher head0.241
Teacher spread0.215 · 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 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

Citations29
Published2019
Admission routes2
Has abstractyes

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