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Record W2138987048 · doi:10.2217/ijr.12.82

Cytomegalovirus infection in childhood-onset systemic lupus erythematosus

2013· article· en· W2138987048 on OpenAlexaff
Evelyn Rozenblyum, Upton Allen, Earl D. Silverman, Deborah M. Levy

Bibliographic record

VenueInternational Journal of Clinical Rheumatology · 2013
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsHospital for Sick Children
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of Health
KeywordsMedicineCytomegalovirusImmunologyDiseaseCytomegalovirus infectionAutoimmunityPopulationHuman cytomegalovirusVirusImmune systemViral diseaseHerpesviridaeInternal medicine

Abstract

fetched live from OpenAlex

(CMV) is a ubiquitous herpesvirus that, similar to SLE, can also lead to significant morbidity and mortality in the immunocompromised host. The relationship between SLE and CMV is complex, with observations suggesting that CMV induces the autoimmunity of SLE in addition to occurring in the immunocompromised host with known SLE. In this article, we first consider CMV infection in the immunocompetent host, and further examine how this infection differs in the patient with SLE. We focus on disease mechanisms, CMV detection and treatment. We review the differences between CMV infection, syndrome and disease, as identifying the correct state will determine the appropriate treatment. We propose guidelines for the screening and management of CMV infection in childhood-onset SLE, and recognize that further study in this population is required to increase our understanding of the interplay between these disease entities.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.040
GPT teacher head0.393
Teacher spread0.354 · 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 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

Citations39
Published2013
Admission routes1
Has abstractyes

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