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A Randomized Trial of Standard vs. Split-dose Polyethylene Glycol Electrolyte (PEG-E) Bowel Preparation for Inpatient Colonoscopy

2009· article· en· W2978054622 on OpenAlexaboutno aff
Roxanne Lim, Sameer Barkatullah, Samad A. Soudagar, Michael D. Brown

Bibliographic record

VenueThe American Journal of Gastroenterology · 2009
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineColonoscopyRegimenTolerabilityRandomized controlled trialEveningSurgerySedationDosingIntention-to-treat analysisRandomizationAdverse effectInternal medicineColorectal cancer

Abstract

fetched live from OpenAlex

Purpose: Several studies, conducted in outpatient settings, have shown that split-dose administration of PEG-E solution offers better quality colon cleansing, improved patient adherence, comfort, and satisfaction when compared to the standard dosing regimen. We plan to evaluate the efficacy and tolerability of split-dose PEG-E solution in a prospective, randomized, single-blind study of inpatients undergoing colonoscopy at a tertiary care center. Methods: Inpatients requiring colonoscopy were randomly assigned to receive either split-dose (Group A) or standard (Group B) regimen PEG-E. Group A patients ingested PEG-E solution in split doses: 2 liters beginning at 5 PM the evening before the procedure, and the remaining 2 liters beginning at 5 AM the morning of the procedure. They were permitted to have a regular breakfast and lunch, and clear liquids for dinner the day before procedure. Group B patients ingested all 4 liters of PEG-E solution beginning at 5 PM on the evening before the procedure. They were permitted only clear liquids the day before colonoscopy. Demographic data and indication for colonoscopy were recorded for each patient. Before sedation, each patient completed a questionnaire to evaluate symptoms experienced during the prep, and to rate (on a 5-point scale) tolerance of the prep. The quality of bowel cleansing was graded by the endoscopist, who was blinded to the patient's prep regimen, using the Ottawa Preparation Quality Scale. Results: Of 43 patients enrolled thus far, 21 patients were randomized to split-dose regimen (Group A), and 22 patients to standard regimen (Group B). Mean age, gender, and BMI were not significantly different between the groups. Indications for colonoscopy included GI bleeding, abdominal pain, anemia, diarrhea, and abnormal imaging study. Adherence to prep was not significantly different between the groups. Abdominal pain occurred less often in Group A (4.8% vs. 45%, p=0.002). Group A patients tolerated the prep volume better (score: 2.7 vs. 1.8, p=0.002) and were more willing to repeat colonoscopy (score: 3.4 vs. 2.3, p=0.002). There was a trend toward greater overall satisfaction in Group A (3.3 vs. 2.8, p=0.089). Group A had better quality cleansing in the right colon (0.63 vs. 1.70, p=0.004) and mid-colon (0.60 vs. 1.45, p=0.016). Rectosigmoid cleansing was also better, with a trend toward significance (0.67 vs. 1.36, p=0.055). The overall Ottawa score was lower (superior) in Group A (2.35 vs. 4.54, p=0.039). Conclusion: Split-dose administration of PEG-E solution for inpatient colonoscopy led to better overall quality of bowel preparation. Furthermore, patients experienced less abdominal pain, tolerated prep volume better, and were more willing to repeat the procedure in the future.

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)0.005
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.009
GPT teacher head0.306
Teacher spread0.297 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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