"sTONE TREES": Metabolic Evaluation and Medical Treatment of the Urolithiasis Patient Made Easy

Ralph V. Clayman; Roshan M. Patel; Margaret S Pearle

doi:10.1089/end.2017.0541

"sTONE TREES": Metabolic Evaluation and Medical Treatment of the Urolithiasis Patient Made Easy

Ralph V. Clayman, Roshan M. Patel, Margaret S Pearle

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

Abstract

In this review, a simplified straightforward algorithmic approach to the metabolic evaluation and treatment of the at-risk or recurrent urolithiasis patient is provided. Eight diagnoses and eight therapies are provided, which cover over 95% of renal stone disease.

Original language	English (US)
Pages (from-to)	387-392
Number of pages	6
Journal	Journal of endourology
Volume	32
Issue number	5
DOIs	https://doi.org/10.1089/end.2017.0541
State	Published - May 2018

Keywords

medical management of urolithiasis
metabolic evaluation
urolithiasis

ASJC Scopus subject areas

Urology

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10.1089/end.2017.0541

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title = "{"}sTONE TREES{"}: Metabolic Evaluation and Medical Treatment of the Urolithiasis Patient Made Easy",

abstract = "In this review, a simplified straightforward algorithmic approach to the metabolic evaluation and treatment of the at-risk or recurrent urolithiasis patient is provided. Eight diagnoses and eight therapies are provided, which cover over 95% of renal stone disease.",

keywords = "medical management of urolithiasis, metabolic evaluation, urolithiasis",

author = "Clayman, {Ralph V.} and Patel, {Roshan M.} and Pearle, {Margaret S}",

note = "Publisher Copyright: {\textcopyright} Mary Ann Liebert, Inc.",

year = "2018",

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doi = "10.1089/end.2017.0541",

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AU - Patel, Roshan M.

AU - Pearle, Margaret S

N1 - Publisher Copyright: © Mary Ann Liebert, Inc.

PY - 2018/5

Y1 - 2018/5

N2 - In this review, a simplified straightforward algorithmic approach to the metabolic evaluation and treatment of the at-risk or recurrent urolithiasis patient is provided. Eight diagnoses and eight therapies are provided, which cover over 95% of renal stone disease.

AB - In this review, a simplified straightforward algorithmic approach to the metabolic evaluation and treatment of the at-risk or recurrent urolithiasis patient is provided. Eight diagnoses and eight therapies are provided, which cover over 95% of renal stone disease.

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KW - urolithiasis

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"sTONE TREES": Metabolic Evaluation and Medical Treatment of the Urolithiasis Patient Made Easy

Abstract

Keywords

ASJC Scopus subject areas

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