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Antiviral treatment for preventing postherpetic neuralgia

2014· review· en· W1957033039 on OpenAlexfundno aff
Ning Chen, Qifu Li, Jie Yang, Muke Zhou, Dong Zhou, Li He

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2014
Typereview
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesMcGill University
KeywordsMedicinePostherpetic neuralgiaAciclovirClinical trialCochrane LibraryRashFamciclovirMEDLINERandomized controlled trialVaricella zoster virusValaciclovirDysgeusiaRegimenAdverse effectInternal medicineAlternative medicineFamily medicineHuman immunodeficiency virus (HIV)Viral diseaseHerpesviridaeImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Postherpetic neuralgia (PHN) is a painful and refractory complication of herpes zoster. Treatments are either partially or totally ineffective for many people with PHN. Antiviral agents, used at the time of the rash, have been proposed as an intervention to prevent the development of PHN. This is the first update since the first publication of the review in 2009. OBJECTIVES: To assess the effectiveness of antiviral agents in preventing PHN. SEARCH METHODS: On 26 April 2013, we updated the searches in the Cochrane Neuromuscular Disease Group Specialized Register, CENTRAL, MEDLINE, EMBASE, LILACS, and the Chinese Biomedical Retrieval System. We checked the references of published studies to identify additional trials, and contacted authors to obtain additional data. We searched other databases in The Cochrane Library for information for the Discussion and two clinical trials registries for ongoing trials. SELECTION CRITERIA: We considered all randomised controlled trials (RCTs) of antiviral treatment given within 72 hours after the onset of herpes zoster for preventing PHN. There were no language restrictions. DATA COLLECTION AND ANALYSIS: Two authors independently selected trials, evaluated the risk of bias in included trials, and extracted and analysed data. MAIN RESULTS: Six RCTs with a total of 1211 participants were eligible; five trials evaluated oral aciclovir, and one, with 419 participants, evaluated oral famciclovir. We were able to conduct meta-analyses as there were sufficient similarities in the included studies, such as the reporting of the presence of PHN, duration of rash before treatment initiation and treatment regimen. For our primary outcome, based on three trials (609 participants) we found no significant difference between the aciclovir and control groups in the incidence of PHN four months after the onset of the acute herpetic rash (risk ratio (RR) 0.75, 95% confidence interval (CI) 0.51 to 1.11), nor was there a significant difference at six months (RR 1.05, 95% CI 0.87 to 1.27, two trials, 476 participants). In four of the trials (692 participants), there was some evidence for a reduction in the incidence of pain four weeks after the onset of rash. In the trial of famciclovir versus placebo, neither 500 mg nor 750 mg doses of famciclovir reduced the incidence of herpetic neuralgia significantly. The most commonly reported adverse events were nausea, vomiting, diarrhoea and headache for aciclovir, and headache and nausea for famciclovir. For neither treatment was the incidence of adverse events significantly different from placebo. None of the studies were at high risk of bias, although the risk of bias was unclear in at least one domain for all but one study. We found no new RCTs when we updated the searches in April 2013. AUTHORS' CONCLUSIONS: There is high quality evidence that oral aciclovir does not reduce the incidence of PHN significantly. In addition, there is insufficient evidence to determine the effect of other antiviral treatments; therefore, further well-designed RCTs are needed to investigate famciclovir or other new antiviral agents in preventing PHN. Future trials should pay more attention to the severity of pain and quality of life of participants, and should be conducted among different subgroups of people, such as people who are immunocompromised.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.144
GPT teacher head0.430
Teacher spread0.285 · 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 designSystematic review
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

Citations287
Published2014
Admission routes1
Has abstractyes

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