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Record W4382862559 · doi:10.1093/jbcr/irad045.152

556 Minimally Invasive Contracture Release Improves Function in Patients with Burn Contractures

2023· article· en· W4382862559 on OpenAlexaboutno aff
Sigrid A Blome-Eberwein, Adam Schwartz

Bibliographic record

VenueJournal of Burn Care & Research · 2023
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineContractureMuscle contractureScarsSurgeryFibrous jointRange of motionSkin graftingAnesthesia

Abstract

fetched live from OpenAlex

Abstract Introduction Scar contracture bands after burns are a persistent problem that cause discomfort and physical and aesthetic limitation. Standard treatment for contracture bands in burn scars involves physical therapy, stretching, splinting and laser treatment, as well as surgical releases with local/distant flaps and grafting. A minimally invasive transcutaneous approach for the release of scar bands was initiated in our institution 6 years ago. The method was derived from techniques pioneered by Jose Daher and Raul Gonzalez to interrupt platysma bands in neck rejuvenation. With IRB approval we evaluated this new approach regarding long term outcomes. Methods A retrospective review of 45 patient charts was conducted for those with burn scars who received subcutaneous contracture release from May 1, 2016, through March 31, 2022. The procedure involves introducing a braided suture to loop the contracture band and moving it in a sawing motion until it cuts through the band in multiple sites along the contracture. Demographic data, total burn surface area (TBSA), location, amount of contracture release increments, scar size, and duration of treatment was recorded. Concurrent scar treatments and whether performed under anesthesia was also noted. In follow up visits 3-12 months post release patients were surveyed on satisfaction with the treatment and whether they noticed increased mobility after the procedure. The Vancouver Scar Scale was administered pre- and post-treatment. Patient range of motion was measured pre-and post treatment to assess for change in mobility at treated sites. Results Male to female ratio was 51%:49%, average age was 38.8(6 to 68), 58% were white . TBSA ranged from 0.5% to 85%, with an average of 36.1 ± 22.3. The release was applied to 11 different sites spanning the entire body, 39% on the neck . The procedure involved an average of 19.0 ± 8.8 incremental releases, and the average scar size for treatment was 174.4 ± 140.0 cm2. 93% of the procedures involved laser treatment, 76% were done under anesthesia because of the laser, and 84% involved a site that was skin grafted. Only one of the 45 patients reported bleeding post-discharge, and none had an infection at a puncture site. Out of 20 responses, 13 patients reported being “satisfied” and 3 “very satisfied”; none reported being “dissatisfied”. 19 noted an increase in mobility at the contracture site and one did not. On average, patient range of motion increased by 13.6 degrees. Conclusions The minimally invasive contracture release described is a versatile, safe, and well-tolerated procedure that can help patients regain form and function after a burn injury. It was successfully applied to a large range of age groups, burn sizes, and scar contracture sites. Encouraging data regarding patient recovery and gain in mobility supports the use of this contracture release technique. Further studies should include prospective multicenter trials. Applicability of Research to Practice Immediate

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.327
Teacher spread0.304 · 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".

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Citations0
Published2023
Admission routes1
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