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Record W4416500343 · doi:10.1302/1358-992x.2025.14.021

PROSPECTIVE RANDOMIZED EVALUATION OF EMERGING NOVEL TREATMENTS FOR INFECTION PROPHYLAXIS IN TOTAL JOINT REPLACEMENT (PREVENT-IT): A PILOT STUDY

2025· article· en· W4416500343 on OpenAlexaff
Timothy J. Wood, L. Puri, Sheila Sprague, Mohit Bhandari, Adam Hart, Anthony Albers, Anthony Adili, Ernesto Guerra-Farfán

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRandomized controlled trialChlorhexidine gluconatePeriprostheticTherapeutic irrigationChlorhexidineArthroplastySalineAntibiotic prophylaxisTotal hip replacement

Abstract

fetched live from OpenAlex

Osteoarthritis (OA) is the most common cause of disability in older adults worldwide. Total Joint Replacement (TJR) is the definitive treatment for OA and can drastically improve functionality, decrease pain, and improve quality of life. Despite its success, there is a small but serious risk of infection following TJR. Periprosthetic Joint Infection (PJI) in particular is a devastating and costly complication, placing its prevention atop the list of priorities among both orthopaedic surgeons and the infectious disease community. Several different interventions aimed at reducing rates of PJI have been proposed and investigated; however, none have yet demonstrated definitive efficacy. The purpose of this pilot study was to determine the feasibility of a definitive randomized controlled trial (RCT) comparing the use of irrigation fluids and topical antibiotics to reduce the risk of reoperation due to infection. This pilot study was a 3x2 factorial RCT across six centers. Participants having primary or aseptic revision hip or knee replacement were randomized to one of six possible groups: 1) 0.35% povidone-iodine lavage; 2) 0.35% povidone-iodine lavage and 2 grams of local vancomycin; 3) 0.05% chlorhexidine gluconate lavage; 4) 0.05% chlorhexidine gluconate lavage and 2 grams of local vancomycin; 5) normal saline lavage; 6) normal saline lavage and 2 grams of local vancomycin in a 1:1:1:1:1:1 ratio. Participant follow-up is six weeks, six months and one year post TJR. A traffic light approach was used to interpret the main objectives, where “green” indicates move forward with the definitive trial with no modifications, “yellow” indicates proceed with some modifications, and “red” indicates that the definitive trial is not feasible. A total of 500 participants were recruited at six different sites over a recruitment period of nine months. There were 56% females and 44% males. The mean age was 67 (standard deviation [SD] 9.98). There were 261 (52%) knees and 236 (47%) hips included. A total of 480 (96%) of procedures were primary and 17 (3%) were aseptic revisions. The overall compliance to the protocol is 94% with 15/500 (3%) of errors due to the use of additional antiseptic irrigation solutions during surgery, 3/500 (0.6%) randomization errors, 2/500 (0.4%) incorrectly enrolled and 8/500 (1.6%) those who did not receive the study intervention. There are five periprosthetic joint infections requiring reoperation and five instances of post wound drainage with one requiring reoperation. We will proceed with the definitive RCT, as the traffic light approach indicates that both recruitment at multiple sites and the administration of the study treatments is feasible. To maintain the 3x2 factorial design of the pilot study we will simplify both the frequency of follow-up and the amount of data collected in the definitive RCT.

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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.036
GPT teacher head0.337
Teacher spread0.302 · 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 designRandomized trial
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

Citations0
Published2025
Admission routes1
Has abstractyes

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