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Record W2013911611 · doi:10.1097/prs.0b013e31819056e9

Successful Repair of Symptomatic Extremity Muscle Herniation with Synthetic Mesh

2008· article· en· W2013911611 on OpenAlexaffabout
Miroslav S. Gilardino, Jon B. Loftus, Jean‐Paul Brutus

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de MontréalUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineSurgeryFascia lataFasciotomyFascia

Abstract

fetched live from OpenAlex

Sir: Muscle herniation in the extremities is the result of an acquired fascial defect, causing pain or discomfort on physical exertion of the affected limb in symptomatic cases. The treatment options for symptomatic extremity muscle herniation in the lower limb are well documented in the literature and include conservative management (activity limitation, compressive stockings, and so on), wide fasciotomy, direct approximation of the fascial defect, tibial periosteal flap, partial muscular excision, and patch repair with autologous fascia lata or synthetic mesh.1 To date, however, the use of synthetic mesh to correct symptomatic extremity muscle herniation has been reported only in a single case by Siliprandi et al., who utilized Mersilene mesh (Ethicon, Inc., Somerville, N.J.) to achieve symptomatic relief and cosmetic correction of anterior tibialis muscle herniation in a lower extremity.2 Based on the success of this isolated case report, the authors' goal was to expand the clinical experience in the literature with synthetic mesh repair of lower extremity muscle herniation, in addition to reporting its novel use in a case of upper extremity muscle herniation. Three patients with symptomatic extremity muscle herniation secondary to trauma were treated. Two defects were located in lower extremity and the remaining defect was in the upper extremity (Table 1). Repair was achieved using a single layer of Prolene mesh (Ethicon) as an inlay, secured in place under minimal tension with 2.0 Prolene (Ethicon) in an interrupted fashion. Skin closure was performed in two layers. Postoperatively, the patient was immobilized for 1 week, at which time passive range of motion exercises were initiated (Figs. 1 and 2).Table 1: Summary of CasesFig. 1.: Preoperative view of symptomatic forearm herniation. The visible mass is tender, located over the proximal third of the flexor surface on his right forearm, and accentuated by elbow flexion and forearm pronation.Fig. 2.: Follow-up (postoperative) view at 6 months after mesh repair. The patient had complete resolution of his preoperative pain and bulging, and is shown with the forearm in a flexed and pronated position.Presented in this report are the repairs of three cases of symptomatic extremity muscle herniation using synthetic patches of Prolene mesh. This permanent mesh is nonreactive and durable. Much like the repair performed using harvested fascia lata, the synthetic mesh repair is robust and under no tension, which theoretically decreases the rate of hernia recurrence.3 Potential disadvantages are an increased risk of infection with a synthetic, nonabsorbable foreign body and the risk of adhesions between the mesh and the underlying structures. To minimize the latter, we utilized a short period of immobilization coupled with early range-of-motion exercises. All patients had complete resolution of their preoperative symptoms (at rest and during activity), in addition to no visible bulging at follow-up, which ranged from 12 to 26 months. In addition, with this technique there is no donor-site morbidity and shorter operative times due to the obviated need for graft harvest. We believe that this technique is a favorable option for the treatment of symptomatic extremity muscle herniation, particularly for larger fascial defects, where the donor-site morbidity of sizeable fascial harvests can be substantial.4 In addition, we have shown that this technique can be effectively utilized for symptomatic extremity muscle herniation in the forearm, a novel application. DISCLOSURE None of the authors has any commercial associations or financial interests in any of the products used in or results derived from this research project. Miroslav S. Gilardino, M.D., M.Sc. Division of Plastic and Reconstructive Surgery McGill University Health Center Montreal, Quebec, Canada Jon B. Loftus, M.D. Department of Orthopedic Surgery Upstate Medical University Syracuse, N.Y. Jean-Paul Brutus, M.D. Division of Plastic and Reconstructive Surgery University of Montreal Montreal, Quebec, Canada

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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 designCase report
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

Citations9
Published2008
Admission routes2
Has abstractyes

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