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Record W4388499956 · doi:10.1016/j.jorep.2023.100238

Bilateral Trevor’s disease of the posterior talus

2023· article· es· W4388499956 on OpenAlexaff
Katherine van Kampen, Karim Gaber, Zachary Lupson, Waleed Kishta

Bibliographic record

VenueJournal of Orthopaedic Reports · 2023
Typearticle
Languagees
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsMcMaster Children's HospitalWestern UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicinePresentation (obstetrics)AnkleLesionSurgeryDiseaseCase presentationPathology

Abstract

fetched live from OpenAlex

Dysplasia eiphysealis hemmimelica also known as Trevor's disease is a rare disorder in which there is overgrowth of the epiphyses. It often presents as a painless mass around the affected joint that increases in size. It is commonly found in children and treated with excision if operative treatment is elected. We present a case of a thirteen-year-old male complaining of nontraumatic right ankle pain and bony growth. Upon further work up, the patient was diagnosed with Trevor's Disease in the os trigonum. This case study reviews the clinical symptoms, diagnosis and treatment of the disease. Notably, the patient presented was treated with a unique multimodal method including operation and injection of bone marrow. More unusual was that the lesion was bilateral and found contralaterally 3 years later. This case is unique in its presentation and management as well as unlikely occurrence bilaterally three years later.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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