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Record W2150344491

Colorectal cancer detection in a rural community. Development of a colonoscopy screening program.

2005· article· en· W2150344491 on OpenAlexaboutno aff
Mike Cotterill, Rudy Gasparelli, Erle Kirby

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineColonoscopyColorectal cancerIntubationRural communityAdenomaSigmoidoscopyEndoscopyColorectal cancer screeningCancer screeningGeneral surgeryCancerInternal medicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM BEING ADDRESSED: Colorectal cancer (CRC) is a substantial cause of death and morbidity in Canada. Endoscopy screening by colonoscopy has been recommended, but widespread implementation is impossible because it is difficult to obtain, especially in rural areas. OBJECTIVE OF PROGRAM: To screen for CRC safely and effectively using colonoscopy performed by non-specialist endoscopists in rural areas. PROGRAM DESCRIPTION: Health providers and community organizations were informed about the screening program. Patients between the ages of 50 and 75 and those at high risk of CRC based on family history were screened. Measures of safety and effectiveness were monitored. In 2 years of screening, one of 152 patients was found to have CRC, and 23.7% had adenomatous polyps. There were no complications. Rates of CRC and adenoma detection and cecal intubation were similar to rates found in other screening studies. CONCLUSION: It was not difficult to design and implement a CRC screening program in our small rural community. Colonoscopies performed by family physicians have been effective, and there have been no serious complications.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.881

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 head0.032
GPT teacher head0.289
Teacher spread0.258 · 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 designOther design
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

Citations24
Published2005
Admission routes1
Has abstractyes

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