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Record W3107611446 · doi:10.1177/1758573220972074

Synovial sarcoma of the elbow presenting with painful stiffness: a case report

2020· article· en· W3107611446 on OpenAlexaff
Jennifer Nevin, Graham JW King

Bibliographic record

VenueShoulder & Elbow · 2020
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsSt Joseph's Health CentreWestern University
Fundersnot available
KeywordsMedicineElbowEtiologyDifferential diagnosisContractureArthritisSurgeryPathologyInternal medicine

Abstract

fetched live from OpenAlex

Elbow stiffness is a challenging problem for the upper extremity surgeon to treat. It can significantly impact the patient’s function in activities of daily living. While the most common etiologies are post-traumatic or secondary to arthritis, a large variety of etiologies should be considered with atypical presentations. It is important that the upper-extremity surgeon have a systematic approach to the diagnosis and management of elbow contracture in order to ensure malignant processes are considered. We present an unusual case of a young patient with atraumatic, non-arthritic elbow stiffness whose underlying diagnosis was a synovial sarcoma, as well as a review of the literature and differential for elbow stiffness. Level of evidence: IV.

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 score0.211
Threshold uncertainty score0.591

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 head0.037
GPT teacher head0.285
Teacher spread0.248 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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