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Record W1992656658 · doi:10.3899/jrheum.140624

Retinal Vessels Thrombosis as Onset Manifestation of Systemic Sclerosis: 3 Clinical Cases

2014· letter· en· W1992656658 on OpenAlexvenueno aff
Cinzia Rotondo, Giuseppe Lopalco, Giovanni Lapadula, Florenzo Iannone

Bibliographic record

VenueThe Journal of Rheumatology · 2014
Typeletter
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFluorescein angiographyRheumatologyRheumatismOphthalmologyRetinopathyThrombosisDermatologyInternal medicinePathologySurgeryRetinal

Abstract

fetched live from OpenAlex

To the Editor: Posterior ocular segment involvement in systemic sclerosis (SSc) is rare. To the best of our knowledge, the retinal vascular occlusion presenting at onset of SSc has never been reported in the literature. We describe 3 cases of patients with retinal thrombosis without apparent risks of ocular disease, followed by fully SSc typical manifestations. Of note, all 3 patients fulfilled the new 2013 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) classification criteria for the diagnosis of SSc at onset, while the previous 1980 ACR criteria were satisfied long after. In SSc, the most frequent ocular manifestations involve anterior segment, such as eyelid skin fibrosis and keratoconjunctivitis sicca. Posterior segment involvement is less common, and findings similar to those observed in arterial hypertensive retinopathy, such as cotton wool spot, optical disc edema, and hemorrhages, have been reported1,2. Nevertheless, abnormal ocular findings are frequently detected by fluorescein angiography (FA), and posterior segment microvessel damage and pigment epithelium layer atrophy are shown in up to 50% of patients with … Address correspondence to Dr. F. Iannone, Rheumatology Unit, Policlinico, Piazza G. Cesare 11, 70124 Bari, Italy. E-mail: florenzo.iannone{at}uniba.it

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)0.004
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 score0.009
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0090.003
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 head0.075
GPT teacher head0.335
Teacher spread0.260 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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