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Record W3033114801 · doi:10.14740/cii.v5i2.108

Chronic Hepatitis E Virus Infection: A Red Flag for Undiagnosed Hematological Malignancy?

2020· article· en· W3033114801 on OpenAlexvenueno aff
Clemency Nye, Shoba Philip, Robert Przemioslo, Talal Valliani

Bibliographic record

VenueClinical Infection and Immunity · 2020
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChronic infectionMalignancyRibavirinLymphomaImmunologyImmune systemVirusChronic hepatitisInternal medicine

Abstract

fetched live from OpenAlex

Hepatitis E virus (HEV) is known to be able to establish chronic infection in a subset of patients who are immunosuppressed. We present a case of a patient who was initially diagnosed with a chronic HEV infection which subsequently revealed a hematological malignancy. We believe this to be the first case in which the finding of chronic HEV infection has led directly to the finding of an underlying cause of immune compromise. A 66-year-old female of Northern European origin presented to gastroenterology with right upper quadrant pain and weight loss. The cause was initially unclear despite investigations. The following year she was diagnosed with chronic HEV infection. As chronic HEV is not recognized in patients without underlying immune compromise, she was thoroughly investigated for a cause and was found to have extra-nodal marginal zone lymphoma of mucosa-associated lymphoid tissue type. HEV was successfully eradicated using ribavirin. Combination chemotherapy was given for lymphoma and she made a good recovery, with resolution of her previous gastrointestinal symptoms. This reinforces the understanding that chronic HEV infection does not occur in immunocompetent patients and that a finding of chronic HEV infection in a patient without a pre-existing reason for immune compromise should be followed with a thorough search for the underlying cause. Clin Infect Immun. 2020;5(2):45-48 doi: https://doi.org/10.14740/cii108

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)0.001
metaresearch head score (Gemma)0.006
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 score0.148
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 integrity0.0000.001
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 head0.189
GPT teacher head0.420
Teacher spread0.231 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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