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Record W2773955646 · doi:10.1097/sla.0000000000002602

Predicting Intestinal Adaptation in Pediatric Intestinal Failure

2017· article· en· W2773955646 on OpenAlexaff
Christina Belza, Kevin T. Fitzgerald, Nicole de Silva, Yaron Avitzur, Karen Steinberg, Glenda Courtney‐Martin, Paul W. Wales

Bibliographic record

VenueAnnals of Surgery · 2017
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineShort bowel syndromeInternal medicineParenteral nutritionEnteral administrationGastroenterologyRetrospective cohort studyProportional hazards modelIntestinal failureGastroschisis

Abstract

fetched live from OpenAlex

OBJECTIVE: The primary goal in intestinal failure (IF) is adaptation and enteral autonomy (EA). Our goals were to determine the proportion of patients treated for IF by an established intestinal rehabilitation program who achieved EA and to assess the predictors of EA. BACKGROUND: There have been considerable advancements in the management of IF over the last 15 years, children with short bowel syndrome with a reduction in mortality. Several studies have discussed variables that may influence the ability to attain EA; however, majority were written when mortality rates were considerably higher compared with the current contemporary experience. METHODS: A retrospective analysis of infants <12 months with short bowel syndrome referred between 2006 and 2013 (n = 120). Data was collected on IF-related factors and nutritional intake. The cohort was stratified based on achievement of EA. Statistical testing completed using t test, Chi Square, and Cox Proportional Hazards regression (P < 0.05). RESULTS: EA was achieved in 84 (70.0%) patients. Patients who remained parenteral nutrition dependent were more likely to have volvulus (1.2 vs 22.2%, P < 0.001), shorter percent residual small bowel (29.4 vs 68.6%; P < 0.0001) and colon length (64.6 vs 86.0%; P = 0.001), and no ileocecal valve (61.1 vs 29.8%; P = 0.05). Mortality was also decreased in those who achieved EA (4 vs 22%; P = 0.004). Percent residual small bowel (HR = 1.03; 95% CI 1.02-1.03) and colon (HR = 1.01; 95% CI 1.00-1.02) length were positively associated with EA, while number of septic episodes was negatively associated (HR = 0.95; 95% CI 0.91-0.99). CONCLUSION: Seventy percent of infants with IF achieved EA. Residual small and large bowel length were the most important predictors of EA and septic events had a negative impact.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.247
GPT teacher head0.380
Teacher spread0.132 · 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

Citations91
Published2017
Admission routes1
Has abstractyes

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