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Record W2467909426 · doi:10.1097/jsa.0000000000000091

Does Femoroacetabular Impingement Contribute to the Development of Hip Osteoarthritis? A Systematic Review

2015· review· en· W2467909426 on OpenAlexaff
Marcin Kowalczuk, Marco Yeung, Nicole Simunovic, Olufemi R. Ayeni

Bibliographic record

VenueSports Medicine and Arthroscopy Review · 2015
Typereview
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFemoroacetabular impingementMedicineOsteoarthritisPhysical therapyIntraclass correlationMEDLINEPhysical medicine and rehabilitationPathologyAlternative medicinePsychometricsClinical psychology

Abstract

fetched live from OpenAlex

Femoroacetabular impingement (FAI) has been linked to specific patterns of cartilage damage. The goal of this systematic review is to answer the following questions: (1) Does FAI contribute to the development and progression of hip osteoarthritis (OA)? (2) If FAI does contribute to the development and progression of hip OA, does CAM-type or pincer-type impingement play a greater role? A search of the electronic databases, MEDLINE and EMBASE, was performed to identify relevant studies performed between January 1, 2000 and January 1, 2015 that link the pathophysiology of OA to FAI. Methodological quality of included studies was assessed by 2 reviewers using the Methodological Index for Non-Randomized Studies criteria. An intraclass correlation coefficient with 95% confidence intervals was used to determine agreement between reviewers on quality scores. Overall 35 studies were identified that met inclusion criteria. Certain morphologic features of CAM-type FAI, particularly elevated alpha angle, do seem to predispose select patients to radiographic progression of hip OA. In comparison with pincer-type impingement, the association between CAM-type impingement and hip OA is better understood. Long-term surgical outcome studies will further delineate the role of FAI in the development and progression of hip OA.

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)0.003
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.000
Bibliometrics0.0000.001
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 head0.042
GPT teacher head0.365
Teacher spread0.322 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations95
Published2015
Admission routes1
Has abstractyes

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