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Record W2148274787

Analysis of the efficacy of pediatric day surgery.

2001· article· en· W2148274787 on OpenAlexaffabout
Mervyn Letts, Darin Davidson, William M. Splinter, Patricia Conway

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineAdenoidectomyTonsillectomyPediatric surgeryMyringotomyAmbulatoryInguinal herniaSurgeryReferralGeneral surgeryPediatricsHerniaEffusionNursing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the efficacy and safety of a pediatric day surgery program and its benefits to the child and family. DESIGN: A review and analysis of prospectively gathered data. SETTING: The Children's Hospital of Eastern Ontario (CHEO), a university-affiliated pediatric centre with a referral base of 2.5 million people. PATIENTS: All children undergoing day surgery at CHEO during the 5 years between 1992 and 1997. INTERVENTIONS: All surgical procedures performed on a day surgery basis. MAIN OUTCOME MEASURES: Procedures performed, complications and unexpected admissions. RESULTS: An average of 4,899 children per year underwent surgical procedures in the ambulatory day surgery program. The 4 commonest procedures performed were myringotomy, tonsillectomy and adenoidectomy, dental procedures, and inguinal hernia repair. The majority of children were between 2 and 7 years of age. Complications were few, averaging 1.6% per year, with postoperative bleeding, primarily secondary to tonsillectomy and adenoidectomy, being the most common. None resulted in permanent disability and there were no deaths. CONCLUSIONS: Pediatric day surgery is a safe and cost-effective program that benefits the child, the family and the pediatric surgical program.

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)0.009
metaresearch head score (Gemma)0.059
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 score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.252
Teacher spread0.216 · 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

Citations38
Published2001
Admission routes2
Has abstractyes

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