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Record W2019856358 · doi:10.1097/bot.0000000000000197

Time to Initial Operative Treatment Following Open Fracture Does Not Impact Development of Deep Infection

2014· article· en· W2019856358 on OpenAlexaffabout
Donald Weber, Sukhdeep Dulai, Joseph Bergman, Richard Buckley, Lauren A Beaupré

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2014
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineInterquartile rangeSurgeryOdds ratioConfidence intervalProspective cohort studyTrauma centerTibiaRetrospective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the association between time to surgery, antibiotic administration, Gustilo grade, fracture location, and development of deep infection in open fractures. DESIGN: Prospective cohort between 2001 and 2009. SETTING: Three Level 1 Canadian trauma centers. PARTICIPANTS: A total of 736 (791 fractures) subjects were enrolled and 686 subjects (93%; 737 fractures) provided adequate follow-up data (1-year interview and/or clinical follow-up >90 days). INTERVENTION: Demographics, injury information, time to surgery, and antibiotics were recorded. Subjects were evaluated using standardized data forms until the fracture(s) healed. Phone interviews were undertaken 1 year after the fracture. MAIN OUTCOME MEASURES: Infection requiring unplanned surgical debridement and/or sustained antibiotic therapy. RESULTS: Tibia/fibula fractures were most common (n = 413, 52%), followed by upper extremity (UE) (n = 285, 36%), and femoral (n = 93, 12%) fractures. Infection developed in 46 fractures (6%). The median time to surgery was 9 hours 4 minutes (interquartile range, 6 hours 39 minutes to 12 hours 33 minutes) and 7 hours 39 minutes (interquartile range, 6 hours 10 minutes to 9 hours 54 minutes) for those without and with infection, respectively (P = 0.04). Gustilo grade 3B/3C fractures accounted for 17 of 46 infections (37%) (P < 0.001). Four UE (1.5%), 7 femoral (8%), and 35 tibia/fibula (9%) fractures developed infections (P = 0.001). Multivariate regression found no association between infection and time to surgery [odds ratio (OR), 0.97; 95% confidence interval (95% CI), 0.90-1.06] or antibiotics (OR, 1.0; 95% CI, 0.90-1.05). Grades 3A (OR, 6.37; 95% CI, 1.37-29.56) and 3B/3C (OR, 12.87; 95% CI, 2.72-60.95) relative to grade 1 injuries and tibia/fibula (OR, 3.91; 95% CI, 1.33-11.53) relative to UE fractures were significantly associated with infection. CONCLUSION: Infection after open fracture was associated with increasing Gustilo grade or tibia/fibula fractures but not time to surgery or antibiotics. LEVEL OF EVIDENCE: Prognostic level I. See instructions for authors for a complete description of levels of evidence.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.353
Teacher spread0.333 · 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 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

Citations129
Published2014
Admission routes2
Has abstractyes

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