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Record W3144565788 · doi:10.14740/jmc1442w

Posterior Reversible Encephalopathy Syndrome in a Woman With Behcet’s Disease: Case Report

2014· article· en· W3144565788 on OpenAlexvenueno aff
Azkune-Calle

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePosterior reversible encephalopathy syndromePrednisoneMethotrexateEncephalopathyVasculitisDiseaseBehcet diseaseDermatologyWhite matterBehcet's diseasePediatricsSurgeryGastroenterologyInternal medicineMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

Posterior reversible encephalopathy syndrome (PRES) is an entity characterized by the presence of variable neurological symptoms and reversible edema typically affecting the posterior white matter on brain MRI studies. It has been described in association with autoimmune diseases and with the use of chemotherapy and immunosuppressive drugs. We report a case of a 58-year-old woman with Behcet’s disease treated with methotrexate, adalimumab and low-dose prednisone who presented with sudden bilateral visual loss, together with radiological findings and clinical course suggesting PRES. PRES may appear associated with Behcet’s disease, from whose neurological complications should be differentiated, since management and prognosis differ significantly. J Med Cases. 2014;5(3):177-179 doi: https://doi.org/10.14740/jmc1442w

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)0.002
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.003
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 head0.027
GPT teacher head0.299
Teacher spread0.271 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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