PERIOPERATIVE, ONCOLOGIC, AND FUNCTIONAL OUTCOMES OF ROBOT-ASSISTED PARTIAL NEPHRECTOMY FOR SPECIAL TYPES OF RENAL TUMORS (HILAR, ENDOPHYTIC, OR CYSTIC): AN EVIDENCE-BASED ANALYSIS OF COMPARATIVE OUTCOMES

Perioperative, oncologic, and functional outcomes of robot-assisted partial nephrectomy for special types of renal tumors (hilar, endophytic, or cystic): an evidence-based analysis of comparative outcomes

PurposeThis study aims to perform a pooled analysis to compare the outcomes of robot-assisted partial nephrectomy (RAPN) between complex tumors (hilar, endophytic, or cystic) and non-complex tumors (nonhilar, exophytic, or solid) and evaluate the effects of renal tumor complexity on outcomes in patients undergoing RAPN.MethodsFour databases were sy

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Pirfenidone in Idiopathic Pulmonary Fibrosis: Real-World Observation on Efficacy and Safety, Focus on Patients Undergoing Antithrombotic and Anticoagulant

Idiopathic pulmonary fibrosis (IPF) is a rare and progressive interstitial lung disease characterized by irreversible distortion Ohio of lung architecture and subsequent loss of pulmonary function.Pirfenidone is an antifibrotic agent associated with increased progression-free survival and overall survival rates, but it carries multiple side effects

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Investigation the Suitability of Patient Education Pamphlets and Patient Satisfaction among Teaching Hospitals in 2015

Background: To make the best use of written information in REWIND 06 education pamphlets, suitability criteria developed for instructional materials.Moreover, client satisfaction with the quality of written materials provided in hospitals for patients needs to be taken into account.Aim: Therefore, the present study aimed to assess the suitability o

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Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation

Limitation of labeled samples has always been a challenge for hyperspectral image (HSI) classification.In real remote sensing applications, we encounter a situation Caster Base where an HSI scene is not labeled at all.To solve this problem, cross-domain learning methods are developed by utilizing another HSI scene with similar land covers and suffi

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