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Record W2769573722 · doi:10.1136/jisakos-2017-000157

The use of antibiotic prophylaxis in hip arthroscopy is under-reported and lacks evidence-based guidelines: a systematic review and survey

2017· review· en· W2769573722 on OpenAlexaff
Seper Ekhtiari, Chloe Haldane, Darren de, Nicole Simunovic, Ivan Wong, Forough Farrokhyar, Olufemi R. Ayeni

Bibliographic record

VenueJournal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsDalhousie UniversityCapital District Health AuthorityMcMaster University
Fundersnot available
KeywordsMedicineAntibiotic prophylaxisMEDLINESystematic reviewMeta-analysisEvidence-based medicineAdverse effectHip arthroscopyDemographicsAntibioticsIntensive care medicineEmergency medicineArthroscopyInternal medicineSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

Importance Hip arthroscopy is an increasingly common orthopaedic procedure with postoperative infection rates<5%. With the growing challenge of antibiotic resistance and rising healthcare costs, it is important to establish whether antibiotic prophylaxis is routinely used in hip arthroscopy, and whether it is necessary. Objective The objectives of this review were to (1) report current practice patterns with regard to antibiotic prophylaxis for hip arthroscopy and (2) present the available evidence regarding the use of antibiotic prophylaxis in hip arthroscopy. Evidence review The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in the execution and reporting of this study. The databases MEDLINE, EMBASE and PubMed were searched and screened in duplicate. Data regarding patient demographics, surgical indications, surgical techniques, use of antibiotic prophylaxis and adverse events were collected. Study quality was assessed in duplicate using Methodological Index for Non-Randomised Studies criteria. A survey was distributed to high-volume hip arthroscopists to gauge their practice patterns. Data were analysed and presented using descriptive statistics. Findings Nine studies of primarily level IV evidence (78%) and of fair quality were included. Overall, 592 patients (652 hips; 56.2% male) were included in the review, with a mean age of 40.6 years. Notably, 1069 otherwise eligible studies were excluded from this review because they did not report on their use (or lack thereof) of prophylactic antibiotics. Overall, 390 patients received routine antibiotic prophylaxis, 160 patients did not and 42 patients received prophylaxis only if an implant was used. Only three infections were reported among 652 operations, with all infections from studies that routinely used antibiotic prophylaxis. The survey had a 60% response rate (21/35), and revealed that 81% of respondents routinely provide prophylactic antibiotics, most commonly preoperative intravenous cefazolin (66.7%). The most common postoperative antibiotic was cephalexin. Conclusions and relevance Antibiotic prophlyaxis use in hip arthroscopy is very under-reported. Routine prophylaxis was the most common practice pattern in both the literature and the survey. Overall, postoperative infection rates are extremely low. Future studies are required to prospectively assess the role of antibiotic prophylaxis in hip arthroscopy. Level of evidence Level IV, systematic review of level III and IV 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)0.023
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.009
Bibliometrics0.0130.016
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.298
GPT teacher head0.427
Teacher spread0.129 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2017
Admission routes1
Has abstractyes

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