Evidence map›Paper›PMID 37418004›Full record

ArticleArchives of orthopaedic and trauma surgery2023

Predictors for infection severity for open tibial fractures: major trauma centre perspective.

James Zhang, Victor Lu, Andrew Kailin Zhou, Anna Stevenson, Azeem Thahir, Matija Krkovic

Open access · hybridAbstract read
In one paragraph

Article in Archives of orthopaedic and trauma surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Tibial shaft fractures with associated syndesmotic injury: a retrospective comparative analysis of 113 patients.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

James Zhang *Department of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK. zz357@cantab.ac.uk.
Victor Lu *Department of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK.
Andrew Kailin ZhouDepartment of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK.
Anna StevensonDepartment of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK.
Azeem ThahirDepartment of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK.
Matija KrkovicDepartment of Trauma and OrthopaedicsAddenbrooke's Major Trauma Unit, Cambridge University Hospitals, Cambridge, UK.
Cambridge University Hospitals NHS Foundation Trust · GBAddenbrooke's Hospital · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOpen diaphyseal tibial fractures are the most common long-bone fractures and require a rapid approach to prevent devastating complications. Current literature reports the outcomes of open tibial fractures. However, there is no robust, up-to-date research on the predictive indicators of infection severity in a large open tibial fracture patient cohort. This study investigated the predictive factors of superficial infections and osteomyelitis in open tibial fractures. MATERIALS AND

methodsA retrospective analysis of the tibial fracture database was carried out from 2014 to 2020. Criteria for inclusion was any tibial fracture including tibial plateau, shaft, pilon or ankle, with an open wound at the fracture site. Exclusion criteria included patients with a follow-up period of less than 12 months and who are deceased. A total of 235 patients were included in our study, of which 154 (65.6%), 42 (17.9%), and 39 (16.6%) developed no infection, superficial infection, or osteomyelitis, respectively. Patient demographics, injury characteristics, fracture characteristics, infection status and management details were collected for all patients.

resultsOn multivariate modelling, patients with BMI > 30 (OR = 2.078, 95%CI [1.145-6.317], p = 0.025), Gustilo-Anderson (GA) type III (OR = 6.120, 95%CI [1.995-18.767], p = 0.001), longer time to soft tissue cover (p = 0.006) were more likely to develop a superficial infection, and patients with wound contamination (OR = 3.152, 95%CI [1.079-9.207], p = 0.036), GA-3 (OR = 3.387,95%CI [1.103-10.405], p = 0.026), longer to soft tissue cover (p = 0.007) were more likely to develop osteomyelitis. Univariate analysis also determined that risk factors for superficial infection were: BMI > 35 (OR = 6.107, 95%CI [2.283-16.332], p = 0.003) and wound contamination (OR = 2.249, 95%CI [1.015-5.135], p = 0.047); whilst currently smoking (OR = 2.298, 95%CI [1.087-4.856], p = 0.025), polytrauma (OR = 3.212, 95%CI [1.556-6.629], p = 0.001), longer time to definitive fixation (p = 0.023) were for osteomyelitis. However, none of these reached significance in multivariate analysis.

conclusionHigher GA classification is a significant risk factor for developing superficial infection and osteomyelitis, with a stronger association with osteomyelitis, especially GA 3C fractures. Predictors for superficial infection included BMI and time to soft tissue closure. Time to definitive fixation, time to soft tissue closure, and wound contamination were associated with osteomyelitis.

Indexed as

Fractures, OpenOsteomyelitisTibial FracturesFracture Fixation, InternalHumansRetrospective StudiesSurgical Wound InfectionTrauma CentersTreatment OutcomeMajor trauma centreOpen fracturesOsteomyelitisSuperficial infectionTibial fractures

Identifiers

PMID37418004
PMCPMC10541339
OpenAlexW4383483175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.