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Record W4389899771 · doi:10.1097/ta.0000000000004233

Antibiotic prophylaxis in trauma: Global Alliance for Infection in Surgery, Surgical Infection Society Europe, World Surgical Infection Society, American Association for the Surgery of Trauma, and World Society of Emergency Surgery guidelines

2023· article· en· W4389899771 on OpenAlexaff
Federico Coccolini, Massimo Sartelli, Robert G. Sawyer, Kemal Raşa, Marco Ceresoli, Bruno Viaggi, Fausto Catena, Dimitrios Damaskos, Enrico Cicuttin, Camilla Cremonini, Ernest E. Moore, Walter L. Biffl, Raúl Coimbra

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2023
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsMedicineSurgical InfectionsTrauma surgerySurgeryStewardship (theology)AntibioticsAntibiotic prophylaxisAllianceIntensive care medicineAntibiotic StewardshipAntibiotic resistanceGeneral surgeryOrthopedic surgery

Abstract

fetched live from OpenAlex

ABSTRACT: Trauma is a complex disease, and the use of antibiotic prophylaxis (AP) in trauma patients is common practice. However, considering the increasing rates of antibiotic resistance, AP use should be questioned and limited only to specific cases. Antibiotic stewardship is of paramount importance in fighting resistance spread. Definitive rules or precise indications about AP in trauma remain unclear. The present article describes the indications of AP in traumatic lesions to the head, brain, torso, maxillofacial, extremities, skin, and soft tissues endorsed by the Global Alliance for Infection in Surgery, Surgical Infection Society Europe, World Surgical Infection Society, American Association for the Surgery of Trauma, and World Society of Emergency Surgery.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.376
Teacher spread0.315 · 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 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

Citations22
Published2023
Admission routes1
Has abstractyes

Explore more

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