MétaCan
Menu
Back to cohort
Record W2118426996 · doi:10.1093/cid/civ643

Novel Poxvirus Infection in an Immune Suppressed Patient

2015· article· en· W2118426996 on OpenAlexaff
Nelli S. Lakis, Yu Li, Jerrold L. Abraham, Chris Upton, Donald C. Blair, Scott K. Smith, Hui Zhao, Inger K. Damon

Bibliographic record

VenueClinical Infectious Diseases · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of Victoria
FundersCenters for Disease Control and Prevention
KeywordsMedicineVirologyImmune systemPoxviridaeImmunologyVacciniaBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Human and animal poxvirus infections are being reported with increasing frequency. We describe a challenging case history and treatment of a previously unknown poxvirus rash illness in a renal transplant patient. METHODS: A combination of classical microbiology techniques, including viral culture and electron microscopy, were used to provide initial clinical diagnosis. Subsequent standard polymerase chain reaction assays available in 2001 were noncontributory. Next generation sequencing was used to provide definitive diagnosis. RESULTS: Retrospectively, next generation sequencing methods were used to ultimately provide the definitive diagnosis of a novel poxvirus infection initially identified by electron microscopy. The closest relative of this poxvirus, identified in North America, is a poxvirus collected from a mosquito pool from Central Africa in 1972. CONCLUSIONS: This diagnostic quandary was ultimately solved using next generation DNA sequencing. This article describes the use of classical and next generation diagnostic strategies to identify etiologic agents of emerging infectious diseases and once again demonstrates the susceptibility of immunossupressed patients to novel pathogens. The virus identified is closely related to Yoka virus; these viruses appear to have independently diverged from a common ancestor of all known orthopoxviruses.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0000.001

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 head0.068
GPT teacher head0.372
Teacher spread0.303 · 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.

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

Citations17
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueClinical Infectious DiseasesSame topicPoxvirus research and outbreaksFrench-language works237,207