ArticlePain and therapy2020
Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study.
Article in Pain and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 7 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Construction and validation of a prediction system for postherpetic neuralgia: based on meta-analysis.Scientific reports · 2026Pooled it
- A systematic review and meta-analysis of herpes zoster risk in adults with immunocompromised conditions and autoimmune diseases in Asia-Pacific.Human vaccines & immunotherapeutics · 2025Pooled it
- Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications.Journal of medical Internet research · 2025Pooled it
- Evaluating the efficacy of machine learning in predicting postherpetic neuralgia: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- A scoping review of models for predicting the risk of postherpetic neuralgia.Frontiers in medicine · 2025Pooled it
- A systematic literature review of the epidemiology and burden of herpes zoster in selected locales in Asia Pacific.Human vaccines & immunotherapeutics · 2024Pooled it
- Risk prediction models for postherpetic neuralgia: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Current state of research and future developments of artificial intelligence in pain diagnosis and treatment.Journal of translational medicine · 2026Review
- A Multicenter Prospective Study to Develop a Prediction Model for Postherpetic Neuralgia Using Clinical and Laboratory Indicators.Pain and therapy · 2026Article
- Prediction of Postherpetic Neuralgia in Patients with Acute and Subacute Herpetic Neuralgia Using Structural Magnetic Resonance Imaging: A Retrospective Study.Pain and therapy · 2026Article
- A multicenter prospective cohort study developing and validating a SIRI-based machine learning model and simplified risk score for predicting postherpetic neuralgia.Frontiers in immunology · 2026Article
- Short-term peripheral nerve stimulation or pulsed radiofrequency in elderly patients with acute herpes zoster ophthalmicus: multi-center retrospective study.The Korean journal of pain · 2026Article
- The association between age and acute pain sensitivity in patients with Herpes Zoster.Scientific reports · 2025Article
- A central and peripheral dual neuromodulation strategy in pain management of zoster-associated pain.Scientific reports · 2024Article
- Identifying and Evaluating Biological Markers of Postherpetic Neuralgia: A Comprehensive Review.Pain and therapy · 2024Review
- Development of a Prediction Model and Corresponding Scoring Table for Postherpetic Neuralgia Using Six Machine Learning Algorithms: A Retrospective Study.Pain and therapy · 2024Article
- The Incidence of Herpes Zoster Complications: A Systematic Literature Review.Infectious diseases and therapy · 2024Review
- Progress in Radiofrequency Therapy for Zoster-Associated Pain About Parameters, Modes, Targets, and Combined Therapy: A Narrative Review.Pain and therapy · 2024Review
- Analysis of Risk Factors and Development and Validation of a Dynamic Nomogram for Postherpetic Neuralgia: A Retrospective Study.Journal of pain research · 2024Article
- Genetics of causal relationships between circulating inflammatory proteins and postherpetic neuralgia: a bidirectional Mendelian randomization study.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPostherpetic neuralgia (PHN) is a neuropathic pain secondary to shingles. Studies have shown that early pain intervention can reduce the incidence or intensity of PHN. The aim of this study was to predict whether a patient with acute herpetic neuralgia will develop PHN and to help clinicians make better decisions.
methodFive hundred two patients with shingles were reviewed and classified according to whether they had PHN. The risk factors associated with PHN were determined by univariate analysis. Logistic regression and random forest algorithms were used to do machine learning, and then the prediction accuracies of the two algorithms were compared, choosing the superior one to predict the next 60 new cases.
resultsAge, NRS score, rash site, Charlson comorbidity index (CCI) score, antiviral therapy and immunosuppression were found related to the occurrence of PHN. The NRS score was the most closely related factor with an importance of 0.31. As for accuracy, the random forest was 96.24%, better than that of logistic regression in which the accuracy was 92.83%. Then, the random forest model was used to predict 60 newly diagnosed patients with herpes zoster, and the accuracy rate was 88.33% with a 95% confidence interval (CI) of 77.43-95.18%.
conclusionsThis study provides an idea and a method in which, by analyzing the data of previous cases, we can develop a predictive model to predict whether patients with shingles will develop PHN.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.