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S2042 Meta-Analysis and Systematic Reviews: Bowel Preparation With Polyethylene Glycol vs Non-Polyethylene Glycol in IBD Patients

2025· article· en· W4417197455 on OpenAlexaboutno aff
Prajjwol Bhatta, Smriti D. Bhetuwal, John Shrestha, Nathan P. Heller, Tausif Syed, Mahesh R. Nepal, Ahmed Shehadah, Hamza Akhtar

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsnot available
Fundersnot available
KeywordsColonoscopyInflammatory bowel diseaseRandomized controlled trialBowel preparationPEG ratioPolyethylene glycolAbdominal pain

Abstract

fetched live from OpenAlex

Introduction: Inadequate bowel preparation increases the chances of missing small or large polyps, decreases cecal intubation rate, prolongs colonoscopy time, and may lead to cancellation or rescheduling of the procedure. Inflammatory bowel disease (IBD) patients require colonoscopy from the beginning to aid in diagnosis, monitor disease activity, evaluate treatment response and allow frequent surveillance for colon cancer. IBD patients experiences the highest embarrassment, pain and lowest satisfaction score. Most guidelines recommend the use of polyethylene glycol (PEG) solutions over non-PEG in IBD patients which limits the overall acceptance of non-PEG solutions. However, the use of non-PEG solutions as per disease severity is now being considered. Therefore, the primary aim of this systematic review and meta-analysis is to assess if non-PEG solutions are equally efficacious as PEG solutions in IBD patients. Methods: Multiple databases were searched through June 2024 for studies comparing PEG vs non-PEG in IBD patients. The primary outcome of our study was successful bowel preparation if Boston Bowel Preparation Scale (BBPS) of ≥6, Ottawa Bowel Preparation Score of ≤5, Harefield Cleansing Scale [HCS] ≥A or B. Secondary outcome was willingness to repeat. Meta-analysis was performed to determine the pooled risk ratio (RR) using random effects model. Results: Four randomized controlled trials involving a total of 479 participants were included in the final analysis. 254 participants received PEG whereas 225 participants received non-PEG. Random-effects meta-analysis of 4 RCTs showed no significant difference in bowel preparation success between PEG and non-PEG regimens (RR = 1.01, 95% CI 0.88–1.16, I² = 0%). Three RCTs (n = 384) found no significant difference in willingness to repeat bowel preparation between PEG and non-PEG regimens (RR = 0.92, 95% CI 0.78–1.08, I² = 0%). Conclusion: Our findings suggest that there is no significant difference in bowel preparation success (RR = 1.01) or willingness to repeat (RR = 0.92) between PEG and non-PEG regimens in IBD patients. The findings suggest that non-PEG regimens may be considered suitable alternatives to PEG, especially in patients who struggle with PEG due to volume or taste. The low heterogeneity in both primary and secondary outcomes strengthens our confidence in the findings. However, given the limited number of studies and small sample sizes, further large-scale trials are needed to confirm the safety and efficacy of non-PEG preparations in different IBD subgroups.

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)0.013
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.035
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0160.040
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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