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Record W2067848134 · doi:10.5402/2011/686803

Incidence and Predictors of Gastrocutaneous Fistula in the Pediatric Patient

2010· article· en· W2067848134 on OpenAlexafffund
Ioana Bratu, Aamir Bharmal

Bibliographic record

VenueISRN Gastroenterology · 2010
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsStollery Children's HospitalUniversity of Alberta
FundersChildren's Health Research Institute
KeywordsAlgorithmMedicineIncidence (geometry)MathematicsGeometry

Abstract

fetched live from OpenAlex

Background/Purpose. To determine the incidence, predictors, and outcomes of repair of gastrocutaneous fistulae (GCF) in pediatric patients. Methods. Patients were identified through a medical records search of all gastrostomy insertions performed from 1997-2007. Results. Of 1083 gastrostomies, 49 had GCF closure. Gastrostomy indications were reflux/aspiration (30/43 [70%]) and feeding intolerance/failure to thrive (7/43 [16%]). Gastrostomies were performed as open surgical procedures (84%) with fundoplication (66% of all cases) at an age of 0.5 ± 0.57 (median ± inter-quartile range) years. Gastrostomies were removed in outpatient settings when no longer used and were present for 2.3 ± 2.2 years, and GCF persisted for 2.0 ± 3.0 months. GCF were closed by laparotomy and stapling. GCF closure length of stay was 2.0 ± 3.3 days. Complications occurred in 6/49 patients and included infection/fever (4/6) and localized skin redness/breakdown (2/6). Conclusions. From our collected data, GCFs occur at a frequency of 4.5% and persist for 2.0 ± 3.0 months until closed. Given the complicated medical histories of patients and relatively high rate of postoperative infection/reaction (12.2%), GCF closure is not a benign, "uncomplicated" procedure. Further information describing factors determining which patients develop GCF requiring closure is needed.

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)0.000
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
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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

Citations20
Published2010
Admission routes2
Has abstractyes

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