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Record W2425767700 · doi:10.1016/j.ijsu.2016.06.003

Use of chewing gum in children undergoing an appendectomy: A randomized clinical controlled trial

2016· article· en· W2425767700 on OpenAlexaff
Gabriela López-Jaimez, Carlos A. Cuello‐García

Bibliographic record

VenueInternational Journal of Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsMcMaster University
FundersInstituto Tecnológico y de Estudios Superiores de Monterrey
KeywordsMedicineRandomized controlled trialIleusDefecationChewing gumClinical trialBowel functionSurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Post-operative ileus is a common condition among pediatric patients undergoing appendectomy. We aim to assess the feasibility, safety, and effectiveness of chewing gum to reduce ileus, and decrease time to oral tolerance. METHODS: A randomized trial was conducted in 5-18 year old patients that underwent an appendectomy. Subjects in the intervention group received sugar-free chewing gum within the first 12 h after surgery and control group received the usual therapy. We assessed the acceptability of the intervention, time to pass first flatus, present first bowel movement, and time to tolerate oral intake. RESULTS: A total of 41 patients were recruited, 21 in the intervention group and 20 in the control group. Mean time (SD) to first flatus in the intervention group was 17.18 h (8.18), and 24.37 h (17.53) in the control group (mean difference [MD] of -7.19 h; 95% CI, -15.7 to 1.38). Time to first bowel movement (MD, -4.6 h, 95%CI -18.5 to 9.3), time to tolerate oral intake (MD, 4.17 h; 95%CI -9.2 to 17.5), and length of hospital stay (MD, 6.9 h, 95%CI -19.1 to 33.1) appeared not to be affected by the intervention. Chewing gum was accepted, well tolerated, and without complications. DISCUSSION: The use of chewing gum in children undergoing an appendectomy was safe and well tolerated and might lead to a faster recovery of bowel function, more studies are needed to prove if length of hospital stay and other outcomes are improved.

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)0.007
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.245
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.071
GPT teacher head0.356
Teacher spread0.285 · 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.

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

Citations17
Published2016
Admission routes1
Has abstractyes

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