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Record W2567267888 · doi:10.14740/jnr.v6i5-6.402

Posterior Reversible Encephalopathy Syndrome: Case Report

2016· article· en· W2567267888 on OpenAlexvenueno aff
Mahesh Babu Sodalagunta, Sreenivasa Rao Sudulagunta, Monica Kumbhat, Mona Sepehrar, Aravinda Settikere Nataraju, Shiva Kumar Bangalore Raja

Bibliographic record

VenueJournal of Neurology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePosterior reversible encephalopathy syndromeFluid-attenuated inversion recoveryHyperintensityWhite matterAnesthesiaHypertensive encephalopathyMagnetic resonance imagingSurgeryBlood pressureRadiology

Abstract

fetched live from OpenAlex

Posterior reversible encephalopathy syndrome (PRES) is a clinico-radiological syndrome characterized by headache, seizures, altered mental status, and visual loss, as well as white matter vasogenic edema affecting the posterior occipital and parietal lobes of the brain predominantly. This clinical syndrome is increasingly recognized due to improvement and availability of brain imaging, specifically magnetic resonance imaging (MRI). A 35-year-old female with history of unsafe abortion and massive blood transfusion 10 days ago was brought to the emergency room with three episodes of generalized tonic clonic seizures, urinary incontinence and altered sensorium since 3 hours. Brain MRI showed bilateral occipital, parietal, frontal cortex and subcortical white matter T2/fluid-attenuated inversion recovery (FLAIR) hyperintensities, suggestive of PRES. Patient improved after management with intravenous fluids, antibiotics, antiepileptics and monitoring of blood pressure. If recognized and treated early, the clinical syndrome commonly resolves within a week. PRES can be a major problem in rapid and massive blood transfusion. High index of suspicion and prompt treatment can reduce morbidity and mortality, and pave the path for early recovery. J Neurol Res. 2016;6(5-6):106-110 doi: https://doi.org/10.14740/jnr402w

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.059
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.119
GPT teacher head0.407
Teacher spread0.288 · 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 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

Citations3
Published2016
Admission routes1
Has abstractyes

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