MétaCan
Menu
← Back to cohort

568 Polyp Detection and Histology by Colon Cleansing Quality With a Ready-to-Drink Low Volume Bowel Preparation: Subgroup Analysis From a Randomized, Assessor-Blinded, Multicenter Study

2019· article· en· W2979946778 on OpenAlexaff
Gerald Bertiger, Lawrence Hookey, Kenneth L. Johnson, Masakazu Ando, Laura Stong, Christelle Chacar, David N. Dahdal

Bibliographic record

VenueThe American Journal of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineColonoscopyAdenomaInternal medicineGastroenterologyRandomized controlled trialSubgroup analysisGold standard (test)Intention-to-treat analysisCatharticColorectal cancerConfidence intervalCancer

Abstract

fetched live from OpenAlex

INTRODUCTION: High-quality bowel preparations are essential for polyp detection. In a recent meta-analysis, patients with adequate bowel preparation by the Aronchick Scale (AS) (defined as those with “excellent,” “good,” or “fair” ratings) had sufficient adenoma detection rate (ADR) for follow-up at guideline-recommended intervals. Here, we examine polyp and adenoma detection, grouped by AS rating, from a study of a ready-to-drink preparation of sodium picosulfate, magnesium oxide, and citric acid (SPMC oral solution). METHODS: A phase 3, randomized, assessor-blinded, multicenter study compared the efficacy and safety of low volume, split-dose SPMC oral solution to a powder formulation for colon cleansing in adults undergoing elective colonoscopy for screening, surveillance, or diagnosis. The study protocol was approved by Schulman IRB (protocol #000253). The primary efficacy endpoint assessed overall colon cleansing quality using a modified AS. Any polyps found during the colonoscopy were removed, recorded as AEs, and all polyps were sent for histological analysis. A post-hoc analysis examined polyp detection and histology by AS rating group. Polyp detection rate (PDR) and ADR in this study were defined as the percentage of any participants who had ≥1 polyp or adenoma, respectively (NCT03017235). RESULTS: A total of 448 patients received SPMC oral solution. For patients with an “excellent” rating by AS (n = 241), the mean (standard deviation, SD) age was 56.5 (12.2) years. In this group, PDR was 46.1% (111/241), and ADR was 30.3% (73/241), with a total of 122 adenomas identified across all participants (Figure 1, Table 1). For patients with a “good” rating by AS (n = 152), the mean (SD) age was 57.3 (9.4) years. In this group, PDR was 46.7% (71/152), and ADR was 33.6% (51/152), with a total of 104 adenomas identified in the group. For patients with a “fair” rating by AS (n = 43), the mean (SD) age was 60.8 (9.5) years. In this group, PDR was 41.9% (18/43), and ADR was 34.9% (15/43), with a total of 23 adenomas identified across all participants in this group. There were 4 (0.9%) patients who received an “inadequate” rating by AS, with a mean (SD) age of 51.0 (10.7) years. CONCLUSION: In patients receiving SPMC oral solution who had “excellent”, “good”, or “fair” ratings by AS, PDR and ADR were above guideline-recommended levels. Detection of sessile polyps was higher for those with “excellent” or “good” ratings by AS, compared to those with “fair” ratings.

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)0.011
metaresearch head score (Gemma)0.014
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 score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.016
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.292
Teacher spread0.282 · 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 routes1
Has abstractyes

Explore more

Same venueThe American Journal of Gastroenterology→Same topicColorectal Cancer Screening and Detection→French-language works237,207→