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Record W2945714679 · doi:10.16964/er.v5i1.74

Form fruste pachydermoperiostosis associated with ptosis and floppy eyelid syndrome

2019· article· en· W2945714679 on OpenAlexaff
Avi Rubinov, Bevin Bart, A. F. Oryschak, Ezekiel Weis, Andrew Ting

Bibliographic record

VenueEye Reports (Eye Reports) · 2019
Typearticle
Languageen
FieldMedicine
TopicHypertrophic osteoarthropathy and related conditions
Canadian institutionsRockyview General HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicinePtosisEyelidDermatologyAnatomySurgery

Abstract

fetched live from OpenAlex

Pachydermoperiostosis (PDP), also known as idiopathic or primary hypertrophic osteoarthropathy or Touraine-Solente-Gole Syndrome, is a rare genetic disorder affecting skin and bone, consisting of pachydermia and periostosis. Pachydermia is a thickening and furrowing of the skin and face in a manner that resembles the skin of a pachyderm. Periostosis is periosteal new bone formation in the long bones. In this report, a 16-year-old boy presented with bilateral ptosis and floppy eyelids. He was successfully treated with bilateral upper eyelid pentagonal wedge resections. Histopathology of the excised tissue demonstrated mild epidermal acanthosis and marked increased dermal collagen with thickening of individual fibers, consistent with pachydermia, as well as papillary conjunctival inflammation and Meibomian glands hyperplasia with ductal dilatation, consistent with floppy eyelid syndrome. Radiographic imaging did not demonstrate any signs of periostosis, confirming the diagnosis of form fruste PDP. In a diligent search of the peer-reviewed medical literature (using PubMed and cross-referenced literature), this case may be the first report of floppy eyelid syndrome and ptosis associated with form fruste PDP.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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
Published2019
Admission routes1
Has abstractyes

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