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Record W4417296773 · doi:10.1093/pch/pxaf116.032

32 Transfer patterns for suspected appendicitis from community hospitals to a paediatric tertiary emergency department and associated outcomes

2025· article· en· W4417296773 on OpenAlexaffabout
Sara Rizakos, Suzanne Schuh, Julia Orkin, Annie Fecteau, Jeffrey Traubici, Joshua Ramjist, Layla Chai-Rahnema, Natasha Bruno, Bryn Badour, Paul J. Davis

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsAppendicitisTertiary careAbdominal painCommunity hospitalEmergency departmentConstipation

Abstract

fetched live from OpenAlex

Abstract Background Children with suspected appendicitis are often transferred from community emergency departments (EDs) across the Greater Toronto Area to a Toronto paediatric tertiary ED (see Figure 1). While the majority of children in the GTA with suspected appendicitis initially present to one of these regional community EDs, variable access and proficiency of local community paediatric ultrasound, surgery expertise and anesthesia comfort with a paediatric patient as well as ability to admit a paediatric patient post-operatively necessitates that some patients be transferred to the paediatric tertiary ED for ongoing care. Objectives To investigate transfer patterns and outcomes in children with suspected appendicitis transferred from community hospital EDs to a paediatric tertiary care ED within a 12-month period. Design/Methods A retrospective chart review of children with suspected appendicitis transferred from 19 community hospital EDs to a paediatric tertiary hospital ED from October 1, 2021, to September 30, 2022. Outcomes included proportions of patients with documentation of 1) abdominal ultrasound (US) at the community ED, 2) repeated abdominal ultrasound at the tertiary ED, 3) surgical consultation in the tertiary ED. Results Of the 282 transferred children (mean age 7 years, 60% male), 164 (58%) were diagnosed with appendicitis, while 118 (42%) were discharged home without this diagnosis. For the 118 patients not diagnosed with appendicitis, the most common discharge diagnosis was unspecified abdominal pain (111/118, 94%); other diagnoses included a viral illness (2/118, 1.7%), constipation (3/118, 2.5%), adnexal torsion (1/118, 0.8%) and an eating disorder (1/118, 0.8%). For the non-appendicitis patients, 100/118 (85%) had an abdominal ultrasound prior to transfer, and 77/100 (77%) imaged children had ultrasound findings consistent with appendicitis. On arrival to the paediatric tertiary ED, 90/118 (76%) of the non-appendicitis patients had repeat ultrasounds (see Figure 2), and 26/118 (22%) had a surgical consultation. Comparatively, all 164 patients with appendicitis had surgical consultation and 78/144 (54%) had repeat ultrasound at the tertiary ED. Conclusion Almost half of the children transferred to a paediatric tertiary ED for suspected appendicitis were discharged home with no appendicitis. The data sheds light on potential avenues of exploration into optimizing transfers such exploring challenges related to obtaining and interpreting ultrasound imaging in community EDs, optimized use of virtual tertiary-care paediatric surgical consultation services prior to transfer from community ED sites, standardizing transfer algorithms in children with suspected appendicitis, and developing standardized appendicitis-specific documentation records.

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)0.005
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.296
Teacher spread0.282 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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