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Record W2466291378 · doi:10.1097/sle.0000000000000277

Outcomes From an Enhanced Recovery Program for Laparoscopic Gastric Surgery

2016· article· en· W2466291378 on OpenAlexaff
Nathalie Wong-Chong, Henrik Kehlet, Teodor Grantcharov

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2016
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineGeneral surgeryLaparoscopic surgeryLaparoscopy

Abstract

fetched live from OpenAlex

PURPOSE: To examine the outcomes from an enhanced recovery after surgery (ERAS) program for laparoscopic gastric surgery. MATERIALS AND METHODS: This was a prospective study of patients undergoing elective laparoscopic gastric resection in an ERAS protocol at a single institution between 2008 and 2012. Outcomes included the length of hospital stay, intraoperative and postoperative complications, the readmission rate, the reoperation rate, and the 30-day mortality. RESULTS: Of the 86 patients, 60 underwent partial gastrectomy and 26 underwent total gastrectomy. Median lymph nodes sampled was 15 (range, 9 to 47). The median length of hospital stay was 4 (range, 1 to 44) days. The conversion rate to open surgery was 11.6%. Four patients (4.7%) had an anastomotic leak. Three patients had postoperative bleeding (4.7%). About 4.7% (n=4) of the patients required readmission and 8.1% required reoperation (n=7). The 30-day mortality rate was 2.3% (n=2) due to complications from anastomotic leak. CONCLUSIONS: Laparoscopic gastrectomy within an ERAS protocol results in a short hospital stay with an acceptable morbidity and mortality 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.318
Teacher spread0.299 · 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.

Study designBench or experimental
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

Citations8
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSurgical Laparoscopy Endoscopy & Percutaneous TechniquesSame topicEnhanced Recovery After SurgeryFrench-language works237,207