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Record W2567579556 · doi:10.3899/jrheum.160491

An Unusual Association of Chronic Recurrent Multifocal Osteomyelitis, Pyoderma Gangrenosum, and Takayasu Arteritis

2017· letter· en· W2567579556 on OpenAlexvenueno aff
George Ipe Vettiyil, Anu Punnen, Sathish Kumar

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typeletter
Languageen
FieldMedicine
TopicOsteomyelitis and Bone Disorders Research
Canadian institutionsnot available
FundersChristian Medical College, Vellore
KeywordsMedicinePyoderma gangrenosumChronic recurrent multifocal osteomyelitisDermatologyInflammatory bowel diseaseArteritisOsteomyelitisPsoriasisSurgeryOsteitisDiseaseInternal medicine

Abstract

fetched live from OpenAlex

To the Editor: Chronic recurrent multifocal osteomyelitis (CRMO) is hypothesized to be an autoimmune disorder because of its association with multiple autoimmune diseases, including inflammatory bowel disease, psoriasis, acne, pustulosis, Sweet syndrome, dyserythropoietic anemia, pyoderma gangrenosum (PG), sclerosing cholangitis, inflammatory arthritis, Still disease, Takayasu arteritis (TA), Ollier disease, and dermatomyositis1,2. PG association with TA is rare; however, Ujiie, et al showed that PG is associated with TA in 33% of patients3. Occurrence of all 3 conditions together (CRMO, PG, and TA) is very rarely reported. A 10-year-old girl born to nonconsanguineous parents presented with a history of intermittent swelling over the right side of the mandible, associated with pain and claudication pain over legs and back with breathlessness on exertion for the past 2 years. She also developed ulcerative cauliflower-like skin lesions over the dorsum of left foot over the past 2 months (Figure 1). On examination, her pulses were absent … Address correspondence to Dr. S. Kumar, Christian Medical College, Department of Pediatrics, Christian Medical College, Vellore, Tamil Nadu 632004, India. E-mail: sathishkumar{at}cmcvellore.ac.in

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)0.001
metaresearch head score (Gemma)0.007
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.307
Teacher spread0.289 · 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

Citations23
Published2017
Admission routes1
Has abstractyes

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