A Preoperative Noninvasive Index Prediction Model for TURP Surgical Outcomes in Patients with Benign Prostatic Hyperplasia.
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| Title: | A Preoperative Noninvasive Index Prediction Model for TURP Surgical Outcomes in Patients with Benign Prostatic Hyperplasia. |
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| Authors: | Yang J; Department of Urology, Dehong Hospital Affiliated of Kunming Medical University (Dehong Prefecture People's Hospital), Mangshi, China., Shi H; Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China., Zhan H; Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China., Wang H; Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China., Yang X; Department of Urology, Dehong Hospital Affiliated of Kunming Medical University (Dehong Prefecture People's Hospital), Mangshi, China., Liang Y; Department of Urology, Dehong Hospital Affiliated of Kunming Medical University (Dehong Prefecture People's Hospital), Mangshi, China., Li J; Department of Urology, Dehong Hospital Affiliated of Kunming Medical University (Dehong Prefecture People's Hospital), Mangshi, China., Zhang Q; Department of Gynecology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China., Zhang G; Department of Urology, Southern Central Hospital of Yunnan Province (First People's Hospital of Honghe State), Mengzi, China., Liu Y; Department of Urology, Dehong Hospital Affiliated of Kunming Medical University (Dehong Prefecture People's Hospital), Mangshi, China. |
| Source: | Journal of investigative surgery : the official journal of the Academy of Surgical Research [J Invest Surg] 2025 Dec; Vol. 38 (1), pp. 2490536. Date of Electronic Publication: 2025 Apr 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: United States NLM ID: 8809255 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-0553 (Electronic) Linking ISSN: 08941939 NLM ISO Abbreviation: J Invest Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1521-0553 |
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| DOI: | 10.1080/08941939.2025.2490536 |
