MétaCan
Menu
Back to cohort
Record W2989620217 · doi:10.14740/gr1205

Re-Educating Residents About Non-Invasive Colorectal Cancer Screening: An Approach to Improving Colon Cancer Screening Compliance

2019· article· en· W2989620217 on OpenAlexvenueno aff
Gabriel Melki, Moutaz Ghrewati, Hadir Mohamed, Shaker Barham, Ashima Kapoor, Farhan Ayoub, Abdalla Mohamed, Alexander Wu, Sugabramya Kuru, Alisa Farokhian, Rana Garris, Chandra Chandran, Matthew Grossman, Walid Baddoura

Bibliographic record

VenueGastroenterology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineColonoscopyColorectal cancerFecal occult bloodCancerModalitiesTest (biology)Colorectal cancer screeningInternal medicineGeneral surgeryFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Colorectal cancer is the third leading cause of cancer death; therefore early detection by screening is beneficial. Residents at a clinic in NJ, USA were not offering other forms of colon cancer screening when patients refused colonoscopy, which lead to the creation of the quality improvement project. METHODS: Residents practicing at the clinic were given an anonymous survey determining which method of colon cancer screening they used and which alternative method they offered when patients refused the original method. The residents were educated about all methods of colon cancer screening and the residents were resurveyed. RESULTS: A total of 64% of residents offered less invasive testing when colonoscopy was refused. Six months after education, 95% of residents offered less invasive testing when colonoscopy was refused. CONCLUSIONS: Early detection and removal of polyps by colonoscopy reduce the risk of cancer development. Colonoscopy is the gold standard for colon cancer screening; however other less invasive modalities are approved. This quality improvement project lead to offering the fecal immunochemical test or fecal occult blood test once patients refused colonoscopy at the clinic, increasing the number of patients receiving colorectal cancer screening, and thus providing better medical care.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.096
GPT teacher head0.402
Teacher spread0.306 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGastroenterology ResearchSame topicColorectal Cancer Screening and DetectionFrench-language works237,207