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Record W4396517634 · doi:10.1097/sap.0000000000003937

Synovial Lipomatosis With Extra-articular Extension in the Arthritic Wrist

2024· article· en· W4396517634 on OpenAlexaff
Rebecca L.R. Miller, Elsa K. Donaldson, Jennifer L. Giuffre

Bibliographic record

VenueAnnals of Plastic Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal synovial abnormalities and treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineWristLipomatosisArthritisSurgeryGoutSynovectomySoft tissueAnatomyRheumatoid arthritisInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT: Synovial lipomatosis is a rare condition characterized by adipocyte proliferation within joint synovial tissue. It most commonly affects the knee and is typically intra-articular. Only 5 published case reports describe extra-articular synovial lipomatosis of the wrist. We present a case of a sexagenarian patient seen for his wrist arthropathy. His x-ray revealed pan-wrist arthritis and inflammatory soft tissue swelling. The patient was slated for a wrist fusion and Darrach procedure. Following the dorsal skin incision in the operating room, an unusual adipose mass was identified infiltrating all extensor compartments: midcarpal, radiocarpal, and distal radioulnar joints. The mass was excised and sent to pathology prior to proceeding with the slated surgery. Synovial lipomatosis was diagnosed postoperatively based on histopathology. Six weeks postoperatively, the wrist fusion had healed clinically and radiographically, and his pain had improved. There was no evidence of recurrence. Synovial lipomatosis is a rare entity that may imitate multiple other pathologies. It is possible that synovial lipomatosis may represent a secondary occurrence following degenerative articular disease or trauma in older patients. This is the first case report to date describing synovial lipomatosis of the wrist with extra-articular extension in the setting of pan-carpal wrist arthritis.

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 score0.171
Threshold uncertainty score0.363

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 head0.054
GPT teacher head0.300
Teacher spread0.246 · 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
Published2024
Admission routes1
Has abstractyes

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