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Record W4213281754 · doi:10.1093/jcag/gwab049.244

A245 DETERMINING THE PREVALENCE OF DELAYED GASTRIC EMPTYING IN PEDIATRIC PATIENTS WITH CONSTIPATION USING NUCLEAR SCINTIGRAPHY

2022· article· en· W4213281754 on OpenAlexaff
Andrew Rogalsky, Michelle Gould, Reza Vali, P Marcon

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsGastric emptyingMedicineConstipationGastroenterologyScintigraphyInternal medicineStomach

Abstract

fetched live from OpenAlex

Abstract Background Gastrointestinal motility is coordinated by complex neurohormonal circuits existing between different segments of the gastrointestinal tract. It has been hypothesized that one of these pathways, the “cologastric brake,” acts as a negative feedback system to inhibit gastric motility when there is loading of stool within the colon in conditions such as constipation. Aims To assess gastric emptying in pediatric patients presenting with constipation using whole-gut nuclear scintigraphy. We hypothesize that children with constipation are likely to exhibit delayed gastric emptying due to neurohormonal pathways such as the cologastric brake. Methods A retrospective review of all patients under 18 years of age who underwent a whole-gut nuclear scintigraphy study for the work-up of constipation at The Hospital for Sick Children between January 2014 and May 2021 was completed. Demographic and clinical data at the time of presentation was summarized. The proportion of patients with delayed gastric emptying and delayed small and large bowel transit were calculated. Exploratory univariable analyses were performed to identify clinical predictors of delayed gastric emptying. Results This study identified 140 patients meeting inclusion criteria of whom 72 were male (51.4%), (meanage = 10.04 ± 4.79). The prevalence of patients with delayed gastric emptying was 61.9% (n = 86). Despite this, only 5.0% (n = 7) and 21.8% (n = 29) had delayed small and large bowel transit respectively. Children with delayed gastric emptying were significantly younger (meanage = 9.15 ± 4.60) than those with normal gastric emptying (meanage = 11.53 ± 4.79), p = .01. A chi-square test of independence showed that there was no significant relationship between use of a promotility agent and delayed gastric emptying ( p = .48). There was also no significant association between the presence of upper gastrointestinal symptoms and delayed gastric emptying ( p = .79). Conclusions We found that children with constipation have a high prevalence of delayed gastric emptying. However, only a small proportion of these patients have delayed bowel transit. This supports the idea that delayed gastric emptying in children with constipation is likely not due to intrinsic neuromuscular defects of the gut but rather, secondary to a neurohormonal “cologastric brake.” This is important information for clinicians as it suggests that a key step in managing delayed gastric emptying in this scenario is to treat patients’ constipation as opposed to initiating therapies, such as prokinetic agents, which attempt to directly improve gastric emptying. Funding Agencies 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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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