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Record W2970739987 · doi:10.3899/jrheum.190169

The Relationship Between Physical Examination and Ultrasonography of Large Entheses of the Achilles Tendon and Patellar Tendon Origin

2019· article· en· W2970739987 on OpenAlexaffvenue
Sibel Zehra Aydın, Sibel Bakırcı, C. Castillo-Gallego, Fatıma Arslan Alhussain, Zoe Ash, Esra Kürüm, Dennis McGonagle, Helena Marzo‐Ortega, Dafna D. Gladman, Lihi Eder

Bibliographic record

VenueThe Journal of Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsOttawa HospitalWomen's College HospitalUniversity of TorontoToronto Western HospitalUniversity of Ottawa
FundersLeeds Biomedical Research CentreNational Institute for Health and Care Research
KeywordsEnthesisAchilles tendonAponeurosisEnthesitisMedicineTendonUltrasoundPatellar tendonPhysical examinationPatellar ligamentTendinopathyUltrasonographyAnatomyRadiologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the relationship between physical examination (PE) and sonographic features of enthesitis, based on anatomical sites. METHODS: The analysis was done using merged raw data of 3 studies on 2298 entheses. RESULTS: Patients with clinical Achilles enthesitis had more abnormalities on ultrasound (US): hypoechogenicity, p < 0.001; thickening, p = 0.001; Doppler signals, p = 0.002; and erosions, p = 0.02. The patellar tendon origin also correlated with PE but distal patellar tendon insertion and plantar aponeurosis were uncoupled from the US. CONCLUSION: The relationship between clinical and sonographic findings for large entheses is dependent on the anatomical site. For the patellar tendon origin and Achilles entheses, PE is significantly linked to US findings.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.138

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 head0.017
GPT teacher head0.280
Teacher spread0.263 · 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

Citations19
Published2019
Admission routes2
Has abstractyes

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