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Record W2922403110 · doi:10.1093/jcag/gwz006.217

A218 SODIUM PHOSPHATE IS SUPERIOR TO POLYETHYLENE GLYCOL IN CONSTIPATED PATIENTS UNDERGOING COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS

2019· review· en· W2922403110 on OpenAlexaff
Jerry T. Dang, Muhammad Moolla, ThucNhi T. Dang, Ashley Shaw, Chunjie Tian, Shahzeer Karmali, Richard Sultanian

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineConstipationColonoscopyMeta-analysisBowel preparationInternal medicineChronic constipationRandomized controlled trialGastroenterologyCatharticMEDLINESystematic reviewPopulationColorectal cancerCancer

Abstract

fetched live from OpenAlex

We performed a systematic review and meta-analysis to determine the optimal bowel preparation in constipated patients undergoing colonoscopy. Constipation is an important and highly prevalent predictor of inadequate bowel preparation during colonoscopy. In North America, between 2% and 28% of the general population suffer from constipation. Despite the high prevalence of constipation, to our knowledge, no meta-analysis on optimal bowel preparations for constipated patients has been performed. Furthermore, while the literature recognizes constipation as a predictor for poor bowel preparation, specific recommendations regarding the preparation of these patients for colonoscopy remain scarce. 1. Determine the optimal bowel preparation in chronically constipated patients A comprehensive search of electronic databases (MEDLINE, EMBASE, SCOPUS, and Web of Science) was performed. Studies were assessed using the following inclusion criteria: adult patients (age ≥ 18 years), randomized controlled trial study design, studies comparing two or more different bowel preparations, studies that included constipated patients, and studies that assessed the effectiveness of the bowel preparation. The primary outcome of interest was the quality of the bowel preparation measured with either validated or non-validated scales. Studies varied in the criteria used to distinguish patients as constipated, therefore, for this review patients were considered constipated based on the method the study authors used to define constipation. Where possible, meta-analysis was performed to compare the percentage of successful bowel preparations amongst constipated patients receiving Polyethylene Glycol (PEG) versus constipated patients receiving Sodium Phosphate (NaP). Preliminary database search yielded 1581 articles after duplicates were removed. After screening of the titles and abstracts using the exclusion criteria, 358 full-text articles were retained. Full text articles were reviewed and eight studies meeting the inclusion criteria were included for qualitative synthesis. Three randomized controlled trials identified a total of 1636 constipated patients, of whom 225 were eligible for meta-analysis. Of those, 107 (47.6%) received NaP and 118 (52.4%) received PEG. The weighted mean age was 57.6 years and weighted sex was 53.5% female. When compared to the PEG cohort, the NaP cohort had a higher likelihood of having a successful bowel preparation (odds ratio [OR] 1.87, CI 1.06 to 3.32, P= 0.003). In chronically constipated patients undergoing colonoscopy, the use of NaP resulted in superior colonic cleanliness when compared to PEG. Barring contraindications, NaP should be used over PEG in constipated patients to improve the quality of bowel preparation. Figure 1. Successful bowel preparation rates comparing PEG versus NaP None

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)0.009
metaresearch head score (Gemma)0.020
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: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0180.043
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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
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

Citations1
Published2019
Admission routes1
Has abstractyes

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