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Record W3015254407 · doi:10.1159/000504484

Herpes Zoster and Its Prevention by Vaccination

2020· review· en· W3015254407 on OpenAlexaboutno aff
Robert W. Johnson, Myron J. Levin

Bibliographic record

VenueInterdisciplinary topics in gerontology and geriatrics · 2020
Typereview
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPostherpetic neuralgiaMedicineShinglesVaricella zoster virusAdverse effectVaccinationImmunogenicityImmunologyAdjuvantVaricella vaccineVirologyImmune systemVirusInternal medicineImmunizationPharmacology

Abstract

fetched live from OpenAlex

Herpes zoster (HZ; shingles) results from reactivation of varicella-zoster virus (VZV) after primary infection as varicella (chicken pox). It affects mainly older adults and people with immunocompromising diseases or treatments. The most common complication is postherpetic neuralgia (PHN), which has significant adverse effects on quality of life and activities of daily living. Since PHN cannot be prevented once HZ has occurred, and treatment is only modestly successful and is associated with significant side effects, the recent introduction of an effective vaccine is an important achievement. This new vaccine, which combines a single VZV glycoprotein (gE) and a multicomponent adjuvant, is superior to the previously available live attenuated VZV vaccine. The recombinant adjuvanted vaccine is remarkably effective in restoring the protective T cell-mediated immunity required to prevent HZ. Its clinical efficacy is much greater than that observed with other vaccines for older individuals affected by immune senescence, and its safety profile is very acceptable. It has been recommended in the USA and Canada for people who are 50 years of age and older. The immunogenicity and safety of this vaccine in severely immunocompromised individuals, such as after chemotherapy for malignancy, after solid organ or stem cell transplant, and in people with HIV are being studied.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.000
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 head0.055
GPT teacher head0.403
Teacher spread0.348 · 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 designOther design
Domainnot available
GenreReview

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

Citations23
Published2020
Admission routes1
Has abstractyes

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