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Record W4401192817 · doi:10.7759/cureus.65806

Repair of an Isolated Sternal Head Tear of the Myotendinous Junction of the Pectoralis Major Using Knotless Suture Anchors: Case Report and Literature Review

2024· article· en· W4401192817 on OpenAlexaff
Khaled K AlAbbasi, M. Alrawi, Amr Elmaraghy

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicPectus Deformity Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineFibrous jointModalitiesSports injurySurgeryBarbed suturePhysical therapy

Abstract

fetched live from OpenAlex

Although considered a relatively uncommon sports injury, publications on pectoralis major (PM) injuries have increased in the last couple of decades. Knowledge of the complex anatomy of the PM muscle is important in diagnosing, understanding the complexity of the injury, and determining the suitable modality of management of these injuries. Despite the increase in publications, there is no consensus on the superiority of any proposed surgical management. We present a case of a recreational body builder who presented to our clinics with a rare pattern of isolated musculotendinous junction of the lower fibers of the PM muscle and proposed a new technique of surgical management of such injuries using knotless suture anchors and running locked suture pattern in different directions. We then conducted a comprehensive review of literature of these injuries and presented a review on the pathophysiology, the various patterns of these injuries, and the available described modalities of surgical management. Understanding the complex anatomy of the PM, the various pattens of injury, and the aid of an MRI read by an expert musculoskeletal radiologist is crucial before managing these injuries. We believe that acute surgical repair of musculotendinous junction injuries using running Krackow/Brunnell locked configuration and the use of knotless suture and anchors will provide adequate and practicable surgical repair of these injuries.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.254

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 head0.022
GPT teacher head0.324
Teacher spread0.302 · 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 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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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