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Independent predictors of iCGI were identified, and a nomogram was developed using R software based on a multivariate logistic regression model. The predictive accuracy of the nomogram was measured using the area under the receiver operating characteristic curve. The nomogram was calibrated by comparing predictions with observations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Main Outcome Measures<\/jats:title>\n                    <jats:p>The primary outcome was the patient-rated Clinical Global Impression of Change scale score after a 4-week course of dapoxetine treatment, which was collected via an online questionnaire. A Clinical Global Impression of Change score of \u22651 was defined as iCGI in this study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Patients with LPE with at least a bachelor's degree, a self-reported intravaginal ejaculation latency time of &amp;gt;1\u00a0minute, and an International Index of Erectile Function question 5 score of \u22653 were independent factors associated with achieving iCGI, whereas a Premature Ejaculation Diagnostic Tool question 1 score of \u22652 was an independent factor negatively associated with achieving iCGI. The predictive accuracy of the nomogram, which was developed by integrating all variables with independent predictive significance, was 0.710 (95% confidence interval: 0.702\u20130.718). In addition, the calibration plot demonstrated excellent agreement between predictions and observations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical Implications<\/jats:title>\n                    <jats:p>If the predictive performance of our nomogram is further proven in multiple external validations, it can be used to select suitable patients for dapoxetine treatment, thereby reducing the number of patients discontinuing treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Strengths &amp; Limitations<\/jats:title>\n                    <jats:p>This study developed the first nomogram for predicting the likelihood of achieving iCGI in patients with LPE treated with dapoxetine. However, our nomogram was not externally validated using independent cohorts from other institutions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study identified several independent predictors of iCGI in patients with LPE treated with dapoxetine. An effective nomogram was developed to predict their likelihood of achieving iCGI. External validations using data of Western patients with LPE are required to test the broader applicability of this Chinese patient-based tool.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1016\/j.jsxm.2020.09.005","type":"journal-article","created":{"date-parts":[[2020,11,13]],"date-time":"2020-11-13T05:38:05Z","timestamp":1605245885000},"page":"2341-2350","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"title":["An Internally Validated Nomogram for Predicting the Likelihood of Improvement of Clinical Global Impression in Patients with Lifelong Premature Ejaculation Treated with Dapoxetine"],"prefix":"10.1093","volume":"17","author":[{"given":"Guangdong","family":"Hou","sequence":"first","affiliation":[{"name":"Department of Urology , Xi'an, , China"},{"name":"Xijing Hospital , Xi'an, , China"},{"name":"Fourth Military Medical University , Xi'an, , 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