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Record W2026682568 · doi:10.1007/dcr.0b013e3181a90a2a

Colorectal Surgery Patients Prefer Simple Solid Foods to Clear Fluids as the First Postoperative Meal

2009· article· en· W2026682568 on OpenAlexafffund
Sophia E. Yeung, Tanis R. Fenton

Bibliographic record

VenueDiseases of the Colon & Rectum · 2009
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsFoothills Medical CentrePetro-Canada
FundersHealth Research BoardUniversity of Calgary
KeywordsMedicineNauseaColorectal surgeryMealGastric fluidVomitingRandomized controlled trialPostoperative painSurgeryGeneral surgeryInternal medicineAbdominal surgery

Abstract

fetched live from OpenAlex

PURPOSE: Randomized controlled trials have established that there is no benefit to withholding oral food and fluids from colorectal surgery patients postoperatively. The aim of this survey was to determine food preferences for the first postoperative meal and compare these with a traditional clear-fluid diet. METHODS: One hundred forty-five elective colorectal surgery patients were surveyed about their preferences for 35 common foods within 72 hours of surgery and their levels of nausea, hunger, and pain. Preferences were examined by postoperative day (one vs. two) and levels of nausea, hunger, and pain. RESULTS: The survey showed that patients significantly preferred solid foods as early as the first postoperative day and their preferences had little congruency with the traditional clear-fluid diet. Foods highest in preference, such as eggs, regular broth soup (e.g., chicken noodle soup), toast, and potatoes, were significantly more preferred than common clear-fluid diet items such as gelatin, clear broth, and carbonated beverages (P < 0.01). Oral supplements were preferred by only 44%. Patients reported low levels of nausea, hunger, and pain. CONCLUSION: Postoperative colorectal surgery patients prefer to receive simple solid foods rather than a clear-fluid diet as their first postoperative meal.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.260
Teacher spread0.250 · 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 designObservational
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

Citations18
Published2009
Admission routes2
Has abstractyes

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