Raw JSON
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Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy. Pragmat Obs Res. 2019 Oct 31;10:67-76. doi: 10.2147/POR.S214412. eCollection 2019.'}, {'pmid': '30521533', 'type': 'DERIVED', 'citation': 'Alexander J Jr, Edwards RA, Brodsky M, Manca L, Grugni R, Savoldelli A, Bonfanti G, Emir B, Whalen E, Watt S, Parsons B. Using time series analysis approaches for improved prediction of pain outcomes in subgroups of patients with painful diabetic peripheral neuropathy. PLoS One. 2018 Dec 6;13(12):e0207120. doi: 10.1371/journal.pone.0207120. eCollection 2018.'}, {'pmid': '30206821', 'type': 'DERIVED', 'citation': 'Edwards RA, Bonfanti G, Grugni R, Manca L, Parsons B, Alexander J. Predicting Responses to Pregabalin for Painful Diabetic Peripheral Neuropathy Based on Trajectory-Focused Patient Profiles Derived from the First 4 Weeks of Treatment. Adv Ther. 2018 Oct;35(10):1585-1597. doi: 10.1007/s12325-018-0780-3. Epub 2018 Sep 11.'}, {'pmid': '30084288', 'type': 'DERIVED', 'citation': 'Parsons B, Li C, Emir B, Vinik AI. The efficacy of pregabalin for treating pain associated with diabetic peripheral neuropathy in subjects with type 1 or type 2 diabetes mellitus. Curr Med Res Opin. 2018 Nov;34(11):2015-2022. doi: 10.1080/03007995.2018.1509304. Epub 2018 Sep 20.'}, {'pmid': '27611736', 'type': 'DERIVED', 'citation': 'Markman JD, Jensen TS, Semel D, Li C, Parsons B, Behar R, Sadosky AB. Effects of Pregabalin in Patients with Neuropathic Pain Previously Treated with Gabapentin: A Pooled Analysis of Parallel-Group, Randomized, Placebo-controlled Clinical Trials. Pain Pract. 2017 Jul;17(6):718-728. doi: 10.1111/papr.12516. 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