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Record W3112523975 · doi:10.14740/jnr614

Late-Onset Encephalopathy Associated With SARS-CoV-2 Infection

2020· article· en· W3112523975 on OpenAlexvenueno aff
Katie Reming, Keithan Sivakumar, Negar Moheb, Ahmad Nizam, Hussam A. Yacoub

Bibliographic record

VenueJournal of Neurology Research · 2020
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEncephalopathyCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusAltered Mental StatusPandemicPediatrics2019-20 coronavirus outbreakDiseaseIntensive care medicineInternal medicineVirologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Several typical and atypical neurological manifestations of viral pandemics have been reported. Neurological manifestations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have recently been reported. In this case report, we present a patient with encephalopathy as a late neurologic manifestation of SARS-CoV-2 infection. The patient initially tested positive for the novel coronavirus after presenting with fever, cough, and altered mental status. The symptoms resolved within 5 - 7 days and the patient was discharged home. He subsequently developed worsening encephalopathy in the absence of respiratory symptoms, required hospitalization, and tested positive for SARS-CoV-2. Complete workup was unrevealing otherwise. We advise clinicians to be aware of late neurological manifestations of coronavirus disease 2019 (COVID-19) including encephalopathy.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.400
Teacher spread0.314 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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