Results 81 to 90 of about 30,797 (234)

Current approaches in the medical management of urolithiasis: A review article

Indian Journal of Urology, 2002
The medical management of urolithiasis has undergone a great change. In the present time the management of urolithiasis is not only stone removal but also to prevent its recurrence.
N P Gupta, Pawan Kesarwani
doaj  

Medical management of urolithiasis: Great efforts and limited progress

Asian Journal of Urology
Objective: To provide a comprehensive review on the existing literature on medical management of urolithiasis. Methods: A thorough literature review was performed using Medline, PubMed/PMC, Embase, and the Cochrane Database of Systematic Reviews up to ...
Victoria Jahrreiss, Christian Seitz, Fahad Quhal   +2 more
doaj   +1 more source

Kidney Stone, Nutritional Perceptions and Impact of Tea on Stone Formation

Phytochemicals in Food and Medicine, Volume 1, Issue 2, June 2026.
ABSTRACT The significant financial burden that urinary stone disease places on healthcare systems is only anticipated to increase over time. It is becoming more common over the globe. It is an increasing urinary condition that impacts around 12% of the global population, and environmental variables appear to be a key contributor.
Munir Ahmed, Danish Kamal, Umber Mubeen, Sakhawat Riaz, Amber Tehseen, Muhammad Mazahir   +5 more
wiley   +1 more source

Urolithiasis and pregnancy

Jornal Brasileiro de Nefrologia, 2014
The diagnosis of urolithiasis during pregnancy is common, even though no additional measures are required in asymptomatic cases. Renal colic or complications of urinary lithiasis occur more frequently during the last months of pregnancy, and there are several particularities for the diagnosis and treatment of this subset of women.
Fernando, Korkes, Eduardo Costa, Rauen, Ita Pfeferman, Heilberg   +2 more
openaire   +2 more sources

Machine learning‐based predictive models versus traditional risk scores in hemodialysis patients with comorbid urolithiasis

Precision Medical Sciences, Volume 15, Issue 2, Page 80-90, June 2026.
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain, Muhammad Riaz, Mirza Muhammad Hadeed Khawar, Jawad Hameed, Malik Sohail Riaz   +4 more
wiley   +1 more source

Forget the blood, not the stone! Microhaematuria in acute urolithiasis and the role of early CT scanning

, 2008
BACKGROUND: Although urinalysis is simple and inexpensive to perform, the finding of microhaematuria on urinalysis may be unreliable for diagnosing urolithiasis. OBJECTIVE: To evaluate microhaematuria as a diagnostic marker for urolithiasis compared with
Buggy, D J, Zimmermann, H, Stoupis, C, Benneker, L M, Exadaktylos, A K, Thalmann, G, Xafis, K   +6 more
core   +1 more source

Genetically predicted blood metabolites mediate the association between immune cell characteristics and urolithiasis: A Mendelian randomization study and mediation analysis

Genes and Diseases
Urolithiasis, a disease characterized by the formation of urinary stones, is influenced by immune system dysregulation and metabolic factors. This study investigated the interplay between specific immune cell characteristics and blood metabolites in ...
Chengcheng Wei, Jiatai He, Jun Wen, Shunyao Wang, Mengjia Shi, Juan Hu, Huanhuan Tan, Jinjun Guo, Xiaosong Li   +8 more
doaj   +1 more source

Urolithiasis [PDF]

Der Urologe, 2019
T, Knoll, M, Schönthaler, A, Neisius
openaire   +2 more sources

Baseline characteristics of healthy controls, urolithiasis patients, children of control (CC) and children of urolithiasis (UC).

, 2019
Baseline characteristics of healthy controls, urolithiasis patients, children of control (CC) and children of urolithiasis (UC).
Thasinas Dissayabutra (164558), Wattanachai Ungjaroenwathana (6433106), Kanokporn Chindaphan (6433100), Maroot Kaewwongse (6433109), Monpicha Srisa-art (6433103), Piyaratana Tosukhowong (164562), Kroonpong Iampenkhae (6433112), Nuttiya Kalpongnukul (6433097)   +7 more
core   +1 more source

Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review

Journal of Evaluation in Clinical Practice, Volume 32, Issue 4, June 2026.
ABSTRACT Background Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)–based speech recognition (ASR) tools promise to reduce this burden by generating draft notes from dictated or ...
Samuel Atiku, Kehinde Owolanke, Olufisayo Olakotan   +2 more
wiley   +1 more source