MétaCan
Menu
Back to cohort
Record W3133507898 · doi:10.1177/2292550321997005

Antibiotic Prophylaxis in Plastic Surgery Correlation Between Practice and Evidence

2021· article· en· W3133507898 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 Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineAntibiotic prophylaxisPlastic surgeryPerioperativeCraniofacial surgeryContext (archaeology)Breast surgerySurgeryBreast reductionAntibioticsCraniofacialIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The use of appropriate preoperative antibiotic prophylaxis decreases the risk of surgical site infections (SSI); however, the breadth of plastic surgery procedures makes it challenging to ensure appropriate use for each unique procedure type. Currently, plastic surgeons lack a cohesive and comprehensive set of evidence-based guidelines (EBG) for surgical prophylaxis. We sought to profile the perioperative antibiotic prescribing patterns for plastic surgeons in British Columbia to investigate if they are congruent with published recommendations. In doing so, we aim to determine risk factors for antibiotic overprescribing in the context of surgical prophylaxis. METHODS: A literature review identifying EBG for antibiotic prophylaxis use during common plastic surgery procedures was performed. Concurrently, a provincial survey of plastic surgery residents, fellows, academic and community plastic surgeons was used to identify their antibiotic prophylaxis prescribing practices. These findings were then compared to recommendations identified from our review. The compliance of the provincial plastic surgery community with current EBG was determined for 38 surgical scenarios to identify which clinical factors and procedure types were associated with unsupported antibiotic use. RESULTS: Within the literature, 31 of the 38 categories of surveyed plastic surgery operations have EBG for use of prophylactic antibiotics. When surgical procedures have EBG, 19.5% of plastic surgery trainees and 21.9% of practicing plastic surgeons followed recommended prophylaxis use. Average adherence to EBG was 59.1% for hand procedures, 24.1% for breast procedures, and 23.9% for craniofacial procedures. Breast reconstruction procedures and contaminated craniofacial procedures were associated with a significant reduction in adherence to EBG resulting in excessive antibiotic use. CONCLUSION: Even when evidence-based recommendations for antibiotic prophylaxis exist, plastic surgeons demonstrate variable compliance based on their reported prescribing practices. Surgical procedures with low EBG compliance may reflect risk avoidant behaviors in practicing surgeons and highlight the importance of improving education on the benefits of antibiotic prophylaxis in these clinical situations.

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)0.164
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.164
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.299
Teacher spread0.253 · 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