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Record W3096497856 · doi:10.1186/s12348-020-00222-2

Occlusive retinal vasculitis and periphlebitis in Buerger’s disease: a case report

2020· article· en· W3096497856 on OpenAlexaff
Ioannis Dimopoulos, Michael Dollin, Chloe Gottlieb

Bibliographic record

VenueJournal of Ophthalmic Inflammation and Infection · 2020
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsBuerger's diseaseMedicineOcclusiveBehcet's diseaseRetinal vasculitisVasculitisRetinalOphthalmologyDermatologyDiseaseSurgeryPathology

Abstract

fetched live from OpenAlex

Thromboangiitis obliterans (TAO), also known as Buerger’s disease, is a segmental occlusive nonatherosclerotic inflammatory condition of small and medium sized arteries and veins of the upper and lower extremities [ 1 ]. Leo Buerger originally described the condition in 1908 among young Polish and Russian Jews in New York city. Buerger’s originally proposed pathologic process involved the concept of a thromboarteritis or thrombophlebitis, rather than the proliferative or obliterating process derived from the intima of the arteries and veins (obliterating endarteritis.) Consensus today is that TAO is a different entity from closely related pathologic disorders, such as arteriosclerosis obliterans and thromboembolism and can involve other vascular territories including cerebral, coronary, renal and mesenteric arteries [ 2 ]. The etiology of this condition remains unknown, but tobacco is thought to play a critical role in its pathophysiology. For that reason, the diagnostic criteria for TAO includes positive smoking history, in addition to onset prior to 50 years of age, infra-popliteal arterial occlusive disease, upper limb involvement or phlebitis migrans, and the absence of atherosclerotic risk factors except smoking [ 3 ].

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 score0.272
Threshold uncertainty score0.357

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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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