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Record W2128857924

Scapholunate interosseus ligament tears in elite gymnasts.

2006· article· en· W2128857924 on OpenAlexaff
Matthew Snider, Khalid Alsaleh, Jung Y. Mah

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineWristLigamentScapholunate ligamentWrist painPhysical therapyPhysical medicine and rehabilitationUpper limbUlnaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Gymnastics requires conversion of the upper limb into a load-bearing extremity, leading to upper extremity, especially wrist, injuries. The “gymnast's wrist” or the Madelung-like deformity involves repetitive excessive loading of immature bones leading to premature closure of the distal radial physis with associated ulna-plus variance and wrist pain.1–3 The significant physical demands of gymnastics and the frequency of injuries especially in elite gymnasts has led some to state that chronic gymnastic injuries should more properly be referred to as consequences of participation in the sport, implying the inevitability of chronic injuries.4 Up to 88% of gymnasts experience wrist pain.1 This is associated with older age, increased training hours and higher skill level.5 Elite gymnasts have a significantly greater rate of injuries than lower level gymnasts.6 Therefore they need to be considered as a separate group from casual participants in terms of sport-specific stresses and resulting injuries. The scapholunate interosseus ligament (SLIL) is involved in maintaining the stability of the complex structure of the wrist. Wrist injuries commonly involve the SLIL.7 However, there is no reported literature on SLIL injuries in gymnasts. It may be that these injuries have been overlooked in the past. The wrist pain associated with these injuries is usually chronic and is less severe than a fracture, so athletes may interpret it as a nonsignificant sprain and may not seek medical attention. Physicians may overlook these injuries for similar reasons. The mechanism of injury is generally believed to be impact loading with the wrist in extension and ulnar deviation,8,9 resulting in the capitate being driven between the scaphoid and lunate bones. This can occur with either a fall on an outstretched hand or repeated loading with weight bearing through the upper extremities. Clinical presentation is usually pain over the dorsal and radial aspects of the wrist with associated loss of motion or grip strength, or both. Radiologically, scapholunate diastasis is defined as greater than 3 mm with a normal scapholunate distance of 2 mm or less on the other wrist. Diastasis is present in static scapholunate dissociation but is not visible in dynamic instability unless elicited on stress views, which can be performed with fist clenching or ulnar deviation of the wrist. Additional radiographic signs include the cortical “ring” sign due to the volar flexion of the scaphoid, a scapholunate angle greater than 70° (normal 30°–60°), and a radiolunate angle greater than 5°, which indicates a dorsal intercalated segmental instability (DISI) pattern with a dorsiflexed lunate. Radiographs in most scapholunate injuries appear normal, the radiographic findings already described being seen mostly in complete ligament tears or chronic partial tears. Further evaluation can include MRI, which can better visualize scapholunate diastasis, ligament tears, occult fractures, and bone bruising. Arthrography has been used but often now is bypassed in favour of arthroscopy, which continues to be the standard method for evaluating SLIL injuries. We describe 3 patients who had tears of the scapholunate ligament.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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".

Quick stats

Citations10
Published2006
Admission routes1
Has abstractyes

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