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Record W2922219241 · doi:10.1093/jcag/gwz006.224

A225 THE BOWEL CLEANSING NATIONAL INITIATIVE (BCLEAN): A HIGH-VOLUME SPLIT-DOSE POLYETHYLENE GLYCOL (PEG) PREPARATION VERSUS A LOW-VOLUME SPLIT-DOSE PEG SOLUTION.

2019· article· en· W2922219241 on OpenAlexaffabout
Alan Barkun, Myriam Martel, Ian Epstein, Pierre Hallé, Robert J. Hilsden, Paul D. James, Alaa Rostom, Michael Sey, Harminder Singh, Richard Sultanian, Jennifer J. Telford, Daniel von Renteln, Kenneth D. Candido

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of British ColumbiaUniversité de MontréalUniversity of AlbertaUniversity of ManitobaWestern UniversityUniversity of OttawaUniversity Health NetworkDalhousie UniversityUniversity of CalgaryHôpital du Saint-SacrementMcGill University Health Centre
Fundersnot available
KeywordsColonoscopyRandomizationMedicineDosingPEG ratioBisacodylBowel preparationRandomized controlled trialPolyethylene glycolInternal medicineSurgeryGastroenterologyColorectal cancerChemistry

Abstract

fetched live from OpenAlex

Bowel preparation is crucial in ensuring a high quality colonoscopy. Although split-dose regimens are superior with regards to bowel cleanliness, evidence still lacks amongst these as to how high-volume compares to low-volume solutions. The objective was to compare a polyethylene glycol (PEG) high-volume split-dosing (HighSD) to a PEG low-volume split-dosing (LowSD) bowel preparation. As part of one of a number trials in adult outpatients in 10 Canadian tertiary care hospitals, we prospectively randomized to split-dose PEG solutions of either high (2L+2L) or low volume (1L+1L) +Bisacodyl (15mg). Stratified randomization was carried out according to the timing of the colonoscopy (AM or PM), and a secondary randomization was completed according to diet allocation (clear fluid or low residue). The primary outcome was the Boston Bowel Preparation Scale (BBPS) in which an adequate bowel preparation was defined by a total score ≥6 with each of the 3 colonic segments subscores ≥2. Secondary objectives included patient willingness to repeat the preparation, withdrawal time, cecal intubation and polyp detection rate. Continuous and categorical variables were compared between groups using a t-test, or Chi-square test, respectively. Statistical significance is set at the p=0.05 level and analyses were intention-to-treat. Over a 29-month period, 1157 subjects were allocated to HighSD and 1157 to LowSD; 93.3% completed the trial. Mean age was 56.2 ± 13.0 years old and 52.1% were female. Reasons for colonoscopy were 38.2% non-screening, 36.8% screening and 25.0% surveillance, with no between group imbalances. A significantly greater proportion of patients in the HighSD group exhibited adequate bowel cleanliness compared to the LowSD group (90.8% vs 88.1%, p=0.041), along with greater cecal intubation rates (97.4% vs 95.6%, p=0.023). Bowel cleanliness was independent of the time of colonoscopy (AM vs PM) or diet (clear liquid vs low residue). Willingness to repeat was significantly lower in the HighSD group (66.9% vs 91.9% respectively, p<0.001). Withdrawal time was not different between groups (8.31 ± 3.23 min versus8.38 ± 3.46 min, respectively, P=0.74). The per-patient polypectomy rate was greater in the HighSD group (46.2% vs 41.8%, p=0.037). In this large randomized trial, split-dose high-volume PEG(2L+2L) improved bowel cleanliness compared to split-dose low volume PEG (1L+1L) + bisacodyl (15mg) independent of time of procedure (AM or PM) or diet (clear liquid or low residue diet), as well as cecal intubation and polypectomy rates. However, patient willingness to repeat the bowel preparation was markedly lower in the HighSD group received arm-length funding from Pendopharm Inc.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.013
GPT teacher head0.252
Teacher spread0.238 · 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
Published2019
Admission routes2
Has abstractyes

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