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Record W2323330491 · doi:10.1155/2000/370945

Postherpetic Nneuralgia: Review of Treatment Modalities

2000· article· en· W2323330491 on OpenAlexaff
Philip S. L. Chan, Alexander J. Clark

Bibliographic record

VenuePain Research and Management · 2000
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsPostherpetic neuralgiaMedicineShinglesGabapentinNeuralgiaVaricella zoster virusModalitiesAnesthesiaNeuropathic pain

Abstract

fetched live from OpenAlex

BACKGROUND: Varicella zoster virus (VZV) is the etiological agent for both varicella (chickenpox) and herpes zoster (HZ) (shingles). HZ results from the reactivation of VZV acquired during childhood. Postherpetic neuralgia (PHN) is the most common complication of HZ infection in immunocompetent patients. There is no universally accepted definition of PHN. While the mechanisms producing pain associated with PHN are not fully understood, peripheral and central processes are thought to be important. METHODS: The literature on the pathophysiology and the treatment of postherpetic neuralgia was reviewed for the past 30 years by using Index Medicus. CONCLUSIONS: Many modalities to treat PHN are available; none of them are very effective. The most commonly used modalities are tricyclic antidepressants, anticonvulsants, opioid analgesics, topical medications, physical modalities such as acupuncture and transcutaneous nerve stimulation, and nerve blocks. The tricyclic antidepressants have the most evidence supporting their role in treating PHN, although only half of the patients with PHN benefit. Recent studies support the use of opioid analgesics in PHN. There is a growing body of evidence in support of the use of gabapentin for PHN. Physical modalities and topical medications are probably most useful as adjuncts to centrally acting agents, not as a primary treatment modality. Injections (nerve blocks) are effective in relieving PHN anecdotally, although there are no controlled clinical trials showing efficacy.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.069
GPT teacher head0.392
Teacher spread0.323 · 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 designNot applicable
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

Citations3
Published2000
Admission routes1
Has abstractyes

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