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Record W2941714024 · doi:10.1007/s00383-019-04476-3

Embracing change: the era for pediatric ERAS is here

2019· review· en· W2941714024 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Surgery International · 2019
Typereview
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsUniversity of TorontoAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicinePediatric surgeryPediatric SurgeonMultidisciplinary approachPerioperativeGlobeSurgical proceduresMEDLINEGeneral surgeryIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

The concept of Enhanced Recovery After Surgery (ERAS) has increasingly been embraced by our adult surgical colleagues, but has been slow to crossover to pediatric surgical subspecialties. ERAS® improves outcomes through multiple, incremental steps that act synergistically throughout the entire surgical journey. In practice, ERAS® is a strategy of perioperative management that is defined by strong implementation and ongoing adherence to a patient-focused, multidisciplinary, and multimodal approach. There are increasing numbers of surgical teams exploring ERAS® in children and there is mounting evidence that this approach may improve surgical care for children across the globe. The first World Congress in Pediatric ERAS® in 2018 has set the stage for a new era in pediatric surgical safety.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.099
GPT teacher head0.357
Teacher spread0.258 · 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