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Record W2067639596 · doi:10.1038/ajg.2013.21

A Low-Residue Breakfast Improves Patient Tolerance Without Impacting Quality of Low-Volume Colon Cleansing Prior to Colonoscopy: A Randomized Trial

2013· article· en· W2067639596 on OpenAlexaffabout
Andrea Melichárková, Jennifer A. Flemming, Stephen Vanner, Lawrence Hookey

Bibliographic record

VenueThe American Journal of Gastroenterology · 2013
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsHotel Dieu HospitalQueen's University
Fundersnot available
KeywordsMedicineColonoscopyBowel preparationRandomized controlled trialRegimenVisual analogue scaleClinical trialCatharticInternal medicineSurgeryColorectal cancer

Abstract

fetched live from OpenAlex

OBJECTIVES: We compared the efficacy and patient tolerance of two dietary regimens used as an adjunct to standard bowel cleansing in preparation for elective colonoscopy. METHODS: Our prospective, randomized, single-blind, controlled, noninferiority trial compared two dietary regimens administered the day before colonoscopy. Subjects received low-volume bowel preparation. The primary outcome was efficacy of colon cleansing, rated by the Ottawa bowel preparation scale (OBPS). Patient acceptance of the assigned dietary regimen was assessed as a secondary outcome. RESULTS: The mean OBPS score for the standard clear-fluid diet group was 4.47, compared with 4.62 for the low-residue breakfast group, meeting criteria for noninferiority. The groups reported similar mean intensity of hunger on a visual analog hunger scale. However, overall satisfaction was higher with the low-residue diet than with the clear-fluid diet. CONCLUSIONS: A low-residue breakfast on the day before elective colonoscopy does not compromise the overall quality of bowel preparation as compared with a standard clear-fluid diet and is likely to be preferred by patients.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.361
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.288
Teacher spread0.278 · 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 teacher head, 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

Citations44
Published2013
Admission routes2
Has abstractyes

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