ArticleInternational orthopaedics2019
Risk factors and failures in the management of limb injuries in combat casualties.
Article in International orthopaedics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Saving Hands in Times of War in Conflict Zones with Limited Resources: A Cohort Study from Sudan.Plastic and reconstructive surgery. Global open · 2026Article
- Massive allograft of the femoral condyle following ballistic trauma to the knee: a technical note.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026Article
- Guest nation symposium: management of musculoskeletal war injuries.OTA international : the open access journal of orthopaedic trauma · 2025Article
- What Are the Factors Associated With Revision Surgery on the Residual Limb and Functional Results in Patients With Posttraumatic Lower Limb Amputations?Clinical orthopaedics and related research · 2025Article
- Conflicts, military medicine and war casualties in international Orthopaedics.International orthopaedics · 2020Article
- Reconstruction of composite leg defects post-war injury.International orthopaedics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTreatment of war wounds is based on a sequential surgical strategy, which frequently faces therapeutic failures, which then burden the final functional result. The aim of this study was to identify risk factors of failure of the different treatments to prevent the therapeutic failure.
methodsA monocentric case-control study was done on French war-wounded soldiers treated for an open fracture caused by an invasive war weapon. The primary end point was the treatment failure three months after the injury. The risk factors of failure studied were the traumatic mechanism, the general and local lesional assessment, and the surgery performed.
resultsBetween January 1, 2004 and December 31, 2016, 57 soldiers were included, with an average follow-up of 3.42 years. On 81 limb segments studied, the most injured segment was the leg (37.0%). A vital or urgent surgery requirement (OR = 1.56; p = 0.02) and bone loss substance (OR = 5.45; CI95% = 1.54-20.09) were risk factors of failure for limb salvage treatment. Improvised explosive device traumatic mechanism (OR = 1.56; p = 0.02) and the persistence of surgical site contamination after two debridement procedures (OR = 1.20; p = 0.04) were risk factors of failure for amputation procedures.
conclusionsTwo main risk factors of treatment failure are highlighted: those in relation to traumatic mechanisms and general lesional assessment and those in relation to surgical site conditions. There is no over risk of failure in relation to surgical procedure and treatment.
Indexed as
Identifiers
30972446What OpenQuestion holds
Registered trials
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.