MétaCan
Menu
← Back to cohort
Record W4401976520 · doi:10.1093/jcag/gwae024

Extended flexible sigmoidoscopy using water exchange facilitates a complete colon examination without sedation in participants undergoing average risk colorectal cancer screening: results from a randomized trial

2024· article· en· W4401976520 on OpenAlexafffund
Adrian Bak, Brent M. Parker, Rafael Perini, Arshbir Aulakh, Caio Márcio Barros de Oliveira, Wes Richardson, Peter Hirschkorn, Barry Sullivan, Magda Recsky, Tess Orlando, Felix W. Leung

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsProvincial Health Services AuthorityUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaKelowna General Hospital
FundersUniversity of British ColumbiaCanadian Association of Gastroenterology
KeywordsSigmoidoscopyMedicineColorectal cancerRandomized controlled trialSedationColonoscopyCancerColorectal cancer screeningSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Lay Summary Colon cancer is a leading cause of cancer deaths. Leading guidelines recommend flexible sigmoidoscopy (FS) every 10 years as a screening option for average-risk people. One area of progress involves a method called water exchange (WE). This is useful for cancer screening. We performed a randomized controlled trial on 90 average-risk individuals aged 50-74. They were tested with 2 methods: unsedated extended FS using either WE or the standard method of gas insufflation (GAS). Both methods showed similar success in examining the whole colon. More participants were satisfied with WE than GAS. Both groups felt little pain. Our study shows that modern methods, especially using WE, are effective and safe. They may remove the need for sedation, making it easier to include in large-scale screening programs.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.037
GPT teacher head0.298
Teacher spread0.260 · 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 designRandomized trial
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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of Gastroenterology→Same topicColorectal Cancer Screening and Detection→French-language works237,207→