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Record W4412617492 · doi:10.1002/wjs.70002

Guidelines for Enhanced Recovery After Trauma and Intensive Care (ERATIC): Enhanced Recovery After Surgery (ERAS) Society and International Association of Trauma Surgery and Intensive Care (IATSIC) Recommendations: Paper 1: Initial Care—Pre and Intraoperative Care Until ICU, Including Non‐Operative Management

2025· article· en· W4412617492 on OpenAlexaff
Timothy Craig Hardcastle, Christine Gaarder, Zsolt J. Balogh, Scott D’Amours, Kimberly A. Davis, Amit Gupta, Shahin Mohseni, Paal Aksel Næss, Shanisa Naidoo, Tarek Razek, S Robertson, Hayaki Uchino, David Zonies, Jade Whing, Michael J. Scott

Bibliographic record

VenueWorld Journal of Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsMcGill UniversityMontreal General Hospital
Fundersnot available
KeywordsMedicineTrauma surgeryIntensive care medicineMEDLINEIntensive carePolytraumaVascular surgeryAnesthesiologyGuidelineEvidence-based medicineRandomized controlled trialCochrane LibraryCINAHLMedical emergencyEmergency medicineSurgeryCardiac surgeryPsychological interventionNursingOrthopedic surgeryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Enhanced recovery after surgery (ERAS) protocols reduce length of stay, complications, and costs for elective surgical procedures. It remains challenging to implement ERAS concepts in the acute trauma patient due to deranged physiological reserve from the penetrating or blunt trauma producing altered physiology. However, systems of care improve access to early intervention and potentially reduce mortality. These consensus guidelines examine optimal pre-hospital, resuscitation-room, intra-, and post-operative treatment, systems of ethical management, and overall care for trauma patients in the post-resuscitation phase of care. The guideline is presented in three parts, this being part 1. METHODS: Experts in aspects of management of trauma surgical patients and intensive care were invited to contribute by the International ERAS Society and IATSIC. PubMed, Cochrane, Embase, and MEDLINE database searches on English language publications were performed for ERAS elements using the patient intervention comparator outcome (PICO) consensus questions created by the expert group. Studies were selected with particular attention to randomized clinical trials, systematic reviews, meta-analyses, and large cohort studies, reviewed, and summarized recommendations were graded using the grading of recommendations, assessment, development and evaluation (GRADE) system. These recommendations based on current best evidence, with extrapolation from elective patient studies, where appropriate, were followed by a modified two-round Delphi method to validate final recommendations. Several ERAS components are already standard of care within national and society guidelines and are endorsed. The bulk of the text focuses on key areas pertaining specifically to trauma care of major trauma and polytrauma in the ICU-requiring group. RESULTS: Overall 37 aspects of trauma care were considered with multiple PICO questions and sub-points. Consensus was reached after two rounds of a modified Delphi process involving all authors, with minor adjustments to some phrasing required, but with 87% overall agreement on all statements (100% agreement on 31 of the main statement sets, prior to minor edits to address the points of difference for the rest with 100% total agreement thereafter). None were rejected outright. The recommendations and level of evidence for each aspect of trauma care that may impact on improved recovery and reduced length of hospital stay are presented with grade of recommendation. CONCLUSIONS: The guidelines relating to initial care and decision-making are presented in part 1 of the Guidelines. These guidelines are based on current best evidence for an ERAS approach to patients who have had major injuries and polytrauma. The guidelines are not exhaustive but collate the best available evidence on important components of care for this patient population. As some of the evidence is extrapolated from elective surgery and non-trauma emergency surgery, some of the components need further evaluation in future studies.

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)0.045
metaresearch head score (Gemma)0.097
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.097
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.011
Bibliometrics0.0120.009
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0110.006
Research integrity0.0150.013
Insufficient payload (model declined to judge)0.0070.006

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 head0.039
GPT teacher head0.341
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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