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Record W1984021474 · doi:10.1586/erv.10.31

Herpes zoster: a common disease that can have a devastating impact on patients’ quality of life

2010· review· en· W1984021474 on OpenAlexaff
Janet E. McElhaney

Bibliographic record

VenueExpert Review of Vaccines · 2010
Typereview
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsDiseaseMedicineQuality of life (healthcare)Intensive care medicineImmunologyVirologyInternal medicine

Abstract

fetched live from OpenAlex

Medical advances have markedly increased human longevity, but this longer life comes at a price; older people often suffer from greater morbidities that severely impact their day-to-day ability to function normally. However, there is a growing commitment from the medical community to add 'quality' to the extra years that people live. An important question in this regard is: how do we impact usual aging, with its attendant higher risks of disease and turn it into successful aging and independency? That is the focus of this review, which looks at herpes zoster (HZ), a condition that is both common and causes severe complications in the elderly. Even with appropriate treatment, HZ can have a significant negative impact on the patient's quality of life. A previously active individual can be severely affected by the disease and its complications such as postherpetic neuralgia. Clinical management, at best, produces modest benefit (for a variety of reasons including a delay in providing treatment, ineffective drugs chosen, poor tolerability and drug-drug interactions). We then find ourselves in the position of trying to treat a patient who is losing confidence in the options available to them, and who is slowly becoming less active and, if we are not careful, more frail and with the increasing likelihood of requiring long-term care. Both the personal and societal burden of HZ and postherpetic neuralgia are therefore considerable, and this highlights the need for better preventative and treatment strategies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
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 head0.079
GPT teacher head0.452
Teacher spread0.372 · 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 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

Citations34
Published2010
Admission routes1
Has abstractyes

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