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Record W2171850509 · doi:10.1177/0009922811405515

The Process of Treating Pediatric Appendicitis

2011· article· en· W2171850509 on OpenAlexafffund
Chieh Jack Chiu, Ioana Bratu

Bibliographic record

VenueClinical Pediatrics · 2011
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsMedicinePerforationAppendicitisGeneral surgerySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: A large service and distant geographical area can make the process of diagnosing and treating appendicitis a challenge. METHODS: Hospital records of children treated for appendicitis between 2007 and 2009 were retrospectively analyzed, including time from emergency (ER) to operating room (OR), diagnostic imaging (DI) utilization, preoperative antibiotic usage, operating time, length of stay (LOS), and perforation rate. RESULTS: The perforation rate was 34%, with longer LOS. Transfer time to the children's hospital between ER inside and outside the city was not different. ER to OR time was significantly shorter for patients assessed at the children's hospital directly. Ultrasound remained the most used DI modality (55%). Preoperative antibiotics were only fully administered in 42% of the cases. CONCLUSION: A clinical pathway for pediatric appendicitis may address the challenges of the process of pre-ER, ER to OR, and OR care to maintain an acceptable perforation rate.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.041
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.077
GPT teacher head0.378
Teacher spread0.301 · 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.

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

Citations2
Published2011
Admission routes2
Has abstractyes

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