1978
DOI: 10.1111/j.1464-410x.1978.tb06189.x
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Risk Factors in Calcium Stone Disease of the Urinary Tract

Abstract: The concept that calcium stone formation may be explained on the basis of a number of risk factors is developed. The main risk factors involved are shown to be calcium, oxalate, pH, acid mucopolysaccharides and uric acid. A method is described for calculating and combining the individual risk factors into a measure of the "relative probability" of forming stones (PSF). PSF values are generally lower in normal subjects than in stone-formers. Amongst the normals, PSF values are lower in children and women than i… Show more

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Cited by 356 publications
(121 citation statements)
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References 9 publications
(6 reference statements)
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“…In an experimental model free radical-damaged cells produced a favorable environment for crystal development [26]. Hypercalciuria [7][8][9] and hypocitraturia [27][28][29] are known contributing factors for stone formation. In our hypertensive patients the plasma calcium and phosphorus levels were below the normal range.…”
Section: And Discussionmentioning
confidence: 99%
“…In an experimental model free radical-damaged cells produced a favorable environment for crystal development [26]. Hypercalciuria [7][8][9] and hypocitraturia [27][28][29] are known contributing factors for stone formation. In our hypertensive patients the plasma calcium and phosphorus levels were below the normal range.…”
Section: And Discussionmentioning
confidence: 99%
“…We extended the investigations of tubular function to include the renal handling of calcium and oxalate, the two most important constituents of the common upper urinary tract stone [27]. Two groups of patients were selected in order to provide a wide range of values for both urinary oxalate and calcium.…”
Section: Discussionmentioning
confidence: 99%
“…PSF analysis included 7 urinary parameters: voided volume, oxalate, calcium, urate, pH, citrate and magnesium. The PSF algorithm is based on a Bayesian mathematical formula which weights each of the contributory risk factors according to a set of "risk curves" derived from frequency distributions in a large number of idiopathic stone-formers and their controls (22,23). The PSF algorithm produces values between 0 and 1 for 5 different patterns of stone (calcium oxalate, urate, calcium phosphate, mixed calcium oxalate and urate and mixed calcium oxalate and calcium phosphate).…”
Section: Methodsmentioning
confidence: 99%
“…Various mathematical algorithms have been developed to analyse urine biochemistry to determine risk (16)(17)(18)(19)(20)(21)(22)(23) but none has been adopted universally. In this study we applied the PSF (probability of stone formation) algorithm (22,23) to data from a cohort of Brazilian pa- tients before and during treatment to investigate the changes in their PSF scores. The aim was to confirm that PSF changed appropriately following medical therapy and to determine whether PSF might be used to help tailor treatment for recurrent stone formers.…”
Section: Introductionmentioning
confidence: 99%