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Record W4405105348 · doi:10.1016/j.jseint.2024.12.003

Description of a new surgical approach for elbow arthroplasty: Selective Triceps-On Medial Paraolecranon (STOMP) approach

2024· article· en· W4405105348 on OpenAlexaff
Carlos Prada, Thomas J. Goetz, Bashar Alolabi

Bibliographic record

VenueJSES International · 2024
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsArthroplastyMedicineElbowSurgery

Abstract

fetched live from OpenAlex

Background: Surgical approaches for total elbow arthroplasty (TEA) are broadly divided into two groups; "triceps-off" and "triceps-on" approaches. Traditional "triceps-off" approaches provide excellent visualization for TEA; however, they carry a risk of triceps failure and require triceps protecting rehabilitation protocols. Triceps-on approaches have the advantage of preservation of triceps function yet present technical challenges for access to and preparation of the bony surfaces of the proximal ulna and radius. We present here the operative technique, indications, and initial outcomes of a novel Selective Triceps-On Medial Paraolecranon (STOMP) approach for TEA, which allows both preservation of the triceps function and excellent exposure to the proximal ulna with minimal risk to the ulnar nerve. Methods: A two center, retrospective cohort study of all patients undergoing primary TEA, hemiarthroplasty, or revision elbow arthroplasties using the STOMP approach in the practice of the senior authors between 2010 and 2020 were reviewed. Patient data, including admission demographics and diagnoses were collated. Outcome measures were collected from patient charts. Results: A total of 37 elbow arthroplasties in 35 patients were performed with the STOMP approach during the reviewed period, of which 27 patients (77%) were female. Thirty-two arthroplasties were primary cases (86%), and 5 (14%) were revision cases. The main indications leading to elbow arthroplasty was rheumatoid arthritis (n = 18, 49%) followed by primary or secondary elbow osteoarthritis (n = 9, 24%) and distal humeral fracture (n = 7, 19%). There were 7 postoperative complications (19%). Five patients (14%) developed elbow stiffness, one patient a postoperative olecranon fracture (n = 1, 3%) and one patient had an ulnar nerve injury with incomplete resolution but that did not warrant surgical treatment (n = 1, 3%). A reoperation was required in 3 patients (9%). Conclusion: The STOMP approach is a safe approach for elbow arthroplasty surgery. It does not detach the triceps and we believe it offers improved exposure and safety compared to other triceps-on techniques. Furthermore, this approach allows excellent surgical access to the coronoid, olecranon, and ulnar canal with low midterm complications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.052
GPT teacher head0.317
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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