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Record W1983316393 · doi:10.1007/s11420-013-9337-9

Computerized Virtual Surgery Demonstrates Where Acetabular Rim Osteophytes Most Reduce Range of Motion following Total Hip Arthroplasty

2013· article· en· W1983316393 on OpenAlexaff
Sebastian Rodriguez-Elizalde, Alyssa Yeager, Bheeshma Ravi, Joseph Lipman, Eduardo A. Salvati, Geoffrey H. Westrich

Bibliographic record

VenueHSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery · 2013
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of Toronto
FundersStryker
KeywordsSports medicineOrthopedic surgeryMedicineRange of motionTotal hip arthroplastyAcetabulumAnesthesiologyRheumatologyArthroplastySurgeryOrthodonticsPhysical therapyInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Acetabular osteophytes are common findings during total hip arthroplasty (THA). PURPOSE: This study was designed to determine the extent to which osteophytes may limit range of motion (ROM) and in which locations impingement is likely to occur if osteophytes are not removed during surgery. METHODS: Computer-aided design was used to compare ROM of a modern hip implant in four cadaver models with and without 10-mm acetabular rim osteophytes added. A clock face, with 12 o'clock at the superior pole of the right acetabulum, was used to map impingement. RESULTS: The osteophyte model limited ROM in flexion (101° v. 113°, p = 0.03), 90° of flexion with internal rotation (16.7° v. 31.6°, p = 0.01), and external rotation (30.4° v. 49.5°, p = 0.01). Impingement occurred between 7 and 8 o'clock in external rotation and 1 and 2 o'clock in the other two motions. CONCLUSIONS: Osteophytes in these positions have the greatest impact on ROM and should be removed during THA.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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.

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

Citations12
Published2013
Admission routes1
Has abstractyes

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