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Record W4412785856 · doi:10.1093/ofid/ofaf360

Clinical Characteristics and Outcome of Jamestown Canyon Virus Infection in Hospitalized Wisconsin Patients

2025· article· en· W4412785856 on OpenAlexaboutno aff
Igor Dumic, Charles W. Nordstrom, Janki Patel, Fnu Shweta, Larry I. Lutwick

Bibliographic record

VenueOpen Forum Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCanyonOutcome (game theory)GerontologyPathogenic organismIntensive care medicineInternal medicineFamily medicineVirologyMicrobiologyCartography

Abstract

fetched live from OpenAlex

Background: Jamestown Canyon virus (JCV) is an emerging arboviral pathogen transmitted by mosquitoes in the United States and Canada. It is associated with neuroinvasive diseases and a wide spectrum of clinical presentations. Methods: A retrospective chart review was conducted at the Mayo Clinic Health System in Northwest Wisconsin from January 2018 to December 2024, analyzing data from 12 hospitalized patients diagnosed with JCV infection. This study aimed to characterize the clinical, laboratory, imaging, and outcome profiles of the disease. The cohort included individuals aged 19 to 75 years, predominantly male (75%), with all patients reporting outdoor activity and 75% being pet owners. Results: were found in 33% of cases, while 16.7% of cases were seropositive to La Crosse virus. Magnetic resonance imaging of the brain was obtained in 5 patients and was nonspecific. Cerebrospinal fluid analysis demonstrated lymphocytic or monocytic pleocytosis in all cases where the test was performed. Conclusions: All patients experienced clinical improvement, with only 1 developing lingering neurological symptoms in the form of brain fog. This study highlights the clinical heterogeneity of JCV infections and underscores the importance of including JCV in the differential diagnosis for patients residing in or traveling from endemic areas.

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)0.001
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.020
GPT teacher head0.363
Teacher spread0.343 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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