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Record W2033890626 · doi:10.1097/ajp.0b013e3181eef686

A Prospective Study of the Herpes Zoster Severity of Illness

2010· article· en· W2033890626 on OpenAlexaffabout
Mélanie Drolet, Marc Brisson, Myron J. Levin, Kenneth E. Schmader, Michael N. Oxman, Robert W. Johnson, Stéphanie Camden, James A. Mansi

Bibliographic record

VenueClinical Journal of Pain · 2010
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsHôpital du Saint-SacrementUniversité Laval
FundersNational Institute on Aging
KeywordsPostherpetic neuralgiaMedicineProspective cohort studyRashNeuralgiaSeverity of illnessShinglesPhysical therapyInternal medicineNeuropathic painAnesthesiaImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: MASTER, a multicenter prospective study, was conducted to provide a thorough understanding of the burden of herpes zoster (HZ) and postherpetic neuralgia (PHN). Objectives are to: (1) describe the herpes zoster severity-of-illness (HZSOI), a composite measure of pain duration and severity; and (2) to identify the characteristics at recruitment predictive of greater HZSOI at the different phases of HZ. METHODS: From October, 2005 to July, 2006, 261 outpatients with HZ, aged more than equal to 50 years, were recruited within 14 days of rash onset across Canada. The pain was measured by the Zoster Brief Pain Inventory at recruitment and 7, 14, 21, 30, 60, 90, 120, 150, and 180 days later. The HZSOI represents the area under the curve of pain severity over time and ranges from 0 (no pain) to 1800 (pain=10 for 180 d). RESULTS: Median pain duration was 32.5 days. The predictors of greater HZSOI varied according to the different phases of HZ. Higher pain severity at recruitment, more lesions, lower income, and being immunocompromised were the predictors of a greater acute HZSOI. Higher acute pain severity, lower income, being immunocompromised, older age, and not receiving antivirals were the predictors of greater postherpetic HZSOI. DISCUSSION: Using an informative measure capturing simultaneously the burden caused by pain duration and severity, we identified subgroups that suffer most during the different phases of HZ. It is interesting to note that, younger participants were as likely to suffer as the older ones during the acute phase of HZ. This information should aid in optimizing the treatment and prevention of HZ.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.093
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.031
GPT teacher head0.380
Teacher spread0.349 · 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

Citations78
Published2010
Admission routes2
Has abstractyes

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