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Record W2910258346 · doi:10.1097/gox.0000000000001855

Implementing Our Microsurgical Breast Reconstruction Enhanced Recovery after Surgery Pathway: Consensus Obstacles and Recommendations

2019· article· en· W2910258346 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

VenuePlastic & Reconstructive Surgery Global Open · 2019
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBreast reconstructionMultidisciplinary approachMultidisciplinary teamMedicineProtocol (science)AmbiguityCognitive dissonancePatient satisfactionFocus groupPlastic surgeryEvidence-based practiceSurgeryBreast cancerNursingPsychologyComputer scienceAlternative medicineInternal medicineCancer

Abstract

fetched live from OpenAlex

Enhanced recovery after surgery pathways are well established in other surgical specialties but are relatively new in plastic surgery. These guidelines focus on improving patient care by incorporating evidence-based recommendations. Length of stay is shorter, and overall hospital costs are lower without compromising patient satisfaction. When care is standardized, ambiguity is removed and physician acceptance is improved. Yet, implementation can be challenging on an institutional level. The Johns Hopkins microsurgical breast reconstruction team identified areas of dogmatic dissonance during 3 focus groups to formalize an enhanced recovery pathway for microsurgical breast reconstruction. Six microsurgeons used nominal group technique to reach consensus. Four discussion points were identified: multidisciplinary buy-in, venous thromboembolism (VTE) chemophylaxis, early feeding, and dietary restrictions. Evidence-based recommendations and our enhanced recovery after surgery protocol are provided.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.272
Teacher spread0.256 · 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