{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T07:57:42Z","timestamp":1790927862200,"version":"4.1.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acupunct Med"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Postherpetic neuralgia (PHN) is a prevalent and painful complication following herpes zoster infection, impacting patient quality of life and posing significant treatment challenges. Current pharmacological approaches often result in adverse effects. The aim of this study was to develop a clinical prediction model for selecting PHN patients for electroacupuncture (EA) treatment and to determine the prognostic outcomes after two sessions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We conducted a retrospective observational cohort analysis on adults diagnosed with PHN between 2010 and 2017. All participants had undergone at least two acupuncture sessions. Data analysis included demographic, clinical and treatment variables to identify predictors of treatment outcomes. Treatment success was defined using the numeric rating scale (NRS), with failure characterized by an NRS score &gt;3. Predictive modeling and internal validation employed bootstrap resampling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Among 243 patients included in the study, the treatment failure rate was 20.6%. Key predictive factors for treatment outcome were the presence of diabetes mellitus, use of carbamazepine and high initial NRS scores. The accuracy of the prediction model was reflected by an area under the receiver operating characteristic (ROC) curve of 0.80 after the first session and 0.88 following the third session, indicating a robust predictive capability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>In this study, we successfully developed and internally validated a clinical prediction model for EA in PHN patients. We anticipate that this model may guide clinicians in personalized patient care, optimizing the selection process for EA treatment, and predicting treatment response early in the treatment cycle.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/09645284261444375","type":"journal-article","created":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T23:45:29Z","timestamp":1779666329000},"page":"254-262","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Prediction of acupuncture treatment failure in patients with postherpetic neuralgia: a retrospective observational cohort analysis"],"prefix":"10.1177","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9846-1491","authenticated-orcid":false,"given":"Suppachai","family":"Lawanaskol","sequence":"first","affiliation":[{"name":"Chaiprakarn Hospital, Chiang Mai, Thailand"},{"name":"Department of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patchara","family":"Ruengwongroj","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, Chiang Rai Regional Hospital, Chiang Rai, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7484-4519","authenticated-orcid":false,"given":"Siranya","family":"Paecharoen","sequence":"additional","affiliation":[{"name":"Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8977-2995","authenticated-orcid":false,"given":"Jayanton","family":"Patumanond","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology and Clinical Statistics Unit, Faculty of Medicine, Naresuan University, Phitsanulok, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prapasri","family":"Kulalert","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3715-4428","authenticated-orcid":false,"given":"Sombat","family":"Muengtaweepongsa","sequence":"additional","affiliation":[{"name":"Center of Excellence in Stroke, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,5,24]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"crossref","unstructured":"Kawai K Gebremeskel BG Acosta CJ. Systematic review of incidence and complications of herpes zoster: towards a global perspective. BMJ Open 2014; 4: e004833. https:\/\/doi.org\/10.1136\/bmjopen-2014-004833","DOI":"10.1136\/bmjopen-2014-004833"},{"key":"e_1_3_3_3_2","doi-asserted-by":"crossref","unstructured":"Johnson RW Rice ASC. Postherpetic neuralgia. New Engl J Med 2014; 371: 1526\u20131533. https:\/\/doi.org\/10.1056\/nejmcp1403062","DOI":"10.1056\/NEJMcp1403062"},{"key":"e_1_3_3_4_2","doi-asserted-by":"crossref","unstructured":"Bugden S Friesen K Falk J et al. Price of pain: population-based cohort burden of disease analysis of medication cost of herpes zoster and postherpetic neuralgia. J Pain Res 2016; 9: 543\u2013550. https:\/\/doi.org\/10.2147\/jpr.s107944","DOI":"10.2147\/JPR.S107944"},{"key":"e_1_3_3_5_2","doi-asserted-by":"crossref","unstructured":"Mu\u00f1oz-Quiles C L\u00f3pez-Lacort M Orrico-S\u00e1nchez A et al. Impact of postherpetic neuralgia: a six year population-based analysis on people aged 50 years or older. J Infect 2018; 77: 131\u2013136. https:\/\/doi.org\/10.1016\/j.jinf.2018.04.004","DOI":"10.1016\/j.jinf.2018.04.004"},{"key":"e_1_3_3_6_2","doi-asserted-by":"crossref","unstructured":"Mallick-Searle T Snodgrass B Brant J. Postherpetic neuralgia: epidemiology pathophysiology and pain management pharmacology. J Multidiscip Healthcare 2016; 9: 447\u2013454. https:\/\/doi.org\/10.2147\/jmdh.s106340","DOI":"10.2147\/JMDH.S106340"},{"key":"e_1_3_3_7_2","doi-asserted-by":"crossref","unstructured":"Abdi S Chung M Marineo G. Scrambler therapy for noncancer neuropathic pain: a focused review. Curr Opin Anesthesiol 2021; 34: 768\u2013773. https:\/\/doi.org\/10.1097\/aco.0000000000001073","DOI":"10.1097\/ACO.0000000000001073"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-9805-8_13"},{"key":"e_1_3_3_9_2","doi-asserted-by":"crossref","unstructured":"Bian Z Yu J Tu M et al. Acupuncture therapies for postherpetic neuralgia: a protocol for a systematic review and Bayesian network meta-analysis. BMJ Open 2022; 12: e056632. https:\/\/doi.org\/10.1136\/bmjopen-2021-056632","DOI":"10.1136\/bmjopen-2021-056632"},{"key":"e_1_3_3_10_2","doi-asserted-by":"crossref","unstructured":"Hu H Shen Y Li X et al. Efficacy of electroacupuncture therapy in patients with postherpetic neuralgia: study protocol for a multicentre randomized controlled assessor-blinded trial. Front Med (Lausanne) 2021; 8: 624749. https:\/\/doi.org\/10.3389\/fmed.2021.624797","DOI":"10.3389\/fmed.2021.624797"},{"issue":"3","key":"e_1_3_3_11_2","first-page":"1469","article-title":"Understandings of acupuncture application and mechanisms","volume":"14","author":"Lin JG","year":"2022","unstructured":"Lin JG, Kotha P, Chen YH. Understandings of acupuncture application and mechanisms. Am J Transl Res 2022; 14(3): 1469\u20131481.","journal-title":"Am J Transl Res"},{"key":"e_1_3_3_12_2","doi-asserted-by":"crossref","unstructured":"Sun R Li S Ren L et al. Efficacy of electroacupuncture for the treatment of postherpetic neuralgia: study protocol for a multicenter randomized controlled trial. J Pain Res 2022; 15: 959\u2013968. https:\/\/doi.org\/10.2147\/jpr.s357435","DOI":"10.2147\/JPR.S357435"},{"key":"e_1_3_3_13_2","doi-asserted-by":"crossref","unstructured":"Yu J Tu M Shi Y et al. Acupuncture therapy for treating postherpetic neuralgia: a protocol for an overview of systematic reviews and meta-analysis. Medicine 2020; 99: e23283. https:\/\/doi.org\/10.1097\/md.0000000000023283","DOI":"10.1097\/MD.0000000000023283"},{"key":"e_1_3_3_14_2","doi-asserted-by":"crossref","unstructured":"Ruengwongroj P Muengtaweepongsa S Patumanond J et al. Effectiveness of press needle treatment and electroacupuncture in patients with postherpetic neuralgia: a matched propensity score analysis. Complement Ther Clin Pract 2020; 40: 101202. https:\/\/doi.org\/10.1016\/j.ctcp.2020.101202","DOI":"10.1016\/j.ctcp.2020.101202"},{"key":"e_1_3_3_15_2","doi-asserted-by":"crossref","unstructured":"Steyerberg EW Moons KG van der Windt DA et al. Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Med 2013; 10(2): e1001381. https:\/\/doi.org\/10.1371\/journal.pmed.1001381","DOI":"10.1371\/journal.pmed.1001381"},{"key":"e_1_3_3_16_2","unstructured":"Clinical Practice Guideline for Neuropathic Pain https:\/\/w1.med.cmu.ac.th\/family\/knowledge\/for-doctor\/guideline\/3541 (2008 accessed 31 December 2023)."},{"key":"e_1_3_3_17_2","unstructured":"Clinical Practice Guideline for Neuropathic Pain https:\/\/www.tasp.or.th\/cpg\/neurophatic.php (2020 accessed 31 December 2023)."},{"key":"e_1_3_3_18_2","doi-asserted-by":"crossref","unstructured":"Hawker GA Mian S Kendzerska T et al. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain) Numeric Rating Scale for Pain (NRS Pain) McGill Pain Questionnaire (MPQ) Short-Form McGill Pain Questionnaire (SF-MPQ) Chronic Pain Grade Scale (CPGS) short form-36 bodily pain scale (SF-36 BPS) and measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res (Hoboken) 2011; 63 (Suppl. 11): S240\u2013S252. https:\/\/doi.org\/10.1002\/acr.20543","DOI":"10.1002\/acr.20543"},{"key":"e_1_3_3_19_2","doi-asserted-by":"crossref","unstructured":"Carpenter J Bithell J. Bootstrap confidence intervals: when which what? A practical guide for medical statisticians. Stat Med 2000; 19: 1141\u20131164. https:\/\/doi.org\/10.1002\/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO;2-F","DOI":"10.1002\/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO;2-F"},{"key":"e_1_3_3_20_2","doi-asserted-by":"crossref","unstructured":"Wang XX Zhang Y Fan BF. Predicting postherpetic neuralgia in patients with herpes zoster by machine learning: a retrospective study. Pain Ther 2020; 9(2): 627\u2013635. https:\/\/doi.org\/10.1007\/s40122-020-00196-y","DOI":"10.1007\/s40122-020-00196-y"},{"key":"e_1_3_3_21_2","doi-asserted-by":"crossref","unstructured":"Wei S Li X Wang H et al. Analysis of the risk factors for postherpetic neuralgia. Dermatology 2019; 235: 426\u2013433. https:\/\/doi.org\/10.1159\/000500482","DOI":"10.1159\/000500482"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.21037\/apm-21-3028"},{"key":"e_1_3_3_23_2","doi-asserted-by":"crossref","unstructured":"Awsakulsutthi S Punpho K Mamom J et al. Beraprost sodium for chronic diabetic foot ulcer: a randomized controlled trial in Thammasat University Hospital. Ann Vasc Dis 2014; 7(1): 40\u201345. https:\/\/doi.org\/10.3400\/avd.oa.13-00092","DOI":"10.3400\/avd.oa.13-00092"},{"key":"e_1_3_3_24_2","doi-asserted-by":"crossref","unstructured":"Fricke-Galindo I Llerena A Jung-Cook H et al. Carbamazepine adverse drug reactions. Expert Rev Clin Pharma 2018; 11: 705\u2013718. https:\/\/doi.org\/10.1080\/17512433.2018.1486707","DOI":"10.1080\/17512433.2018.1486707"},{"key":"e_1_3_3_25_2","doi-asserted-by":"crossref","unstructured":"Yong YL Tan LT-H Ming LC et al. The effectiveness and safety of topical capsaicin in Postherpetic neuralgia: a systematic review and meta-analysis. Front Pharmacol 2017; 7: 538. https:\/\/doi.org\/10.3389\/fphar.2016.00538","DOI":"10.3389\/fphar.2016.00538"},{"key":"e_1_3_3_26_2","doi-asserted-by":"crossref","unstructured":"Sheikh S Fishe J Norse A et al. Comparing pain intensity using the numeric rating scale and defense and veterans pain rating scale in patients revisiting the emergency department. Cureus 2021; 13(8): 17501. https:\/\/doi.org\/10.7759\/cureus.17501","DOI":"10.7759\/cureus.17501"}],"container-title":["Acupuncture in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09645284261444375","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/09645284261444375","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09645284261444375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T07:47:47Z","timestamp":1790927267000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/09645284261444375"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,24]]},"references-count":25,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["10.1177\/09645284261444375"],"URL":"https:\/\/doi.org\/10.1177\/09645284261444375","relation":{},"ISSN":["0964-5284","1759-9873"],"issn-type":[{"value":"0964-5284","type":"print"},{"value":"1759-9873","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,24]]}}}