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Published on: February 9, 2021
Risk factors for kidney stone recurrence and early prediction models: a systematic review and meta-analysis
Jiayuan Ji1, Teng Cui2,3, Kai Dang2,3
1Department of Urology, Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital, Tsinghua University Clinical institute, Beijing, China.
Recurrence of kidney stone disease (KSD) is a challenge. Independent risk factors like younger age, diabetes, hypertension, and family history were identified, but current prediction models need improvement for accuracy.
Area of Science:
- Nephrology
- Urology
- Epidemiology
Background:
- Kidney stone disease (KSD) recurrence presents a significant clinical challenge.
- There is limited systematic evidence on independent risk factors and early prediction models for KSD recurrence.
Purpose of the Study:
- To systematically evaluate independent risk factors for KSD recurrence.
- To assess the feasibility of early prediction models for KSD recurrence.
Main Methods:
- Systematic search of PubMed, Web of Science, Embase, and Cochrane Library databases until July 2024.
- Inclusion of 18 studies on risk factors and 12 on prediction models.
- Risk of bias appraisal using the Newcastle-Ottawa Scale.
Main Results:
- Younger age, diabetes mellitus, hypertension, and family history of KSD were identified as independent risk factors.
- Current prediction models primarily utilize these common clinical characteristics.
- The area under the curve for recurrence prediction was 0.71 (training) and 0.69 (validation).
Conclusions:
- Independent risk factors for postoperative KSD recurrence have been identified.
- Existing prediction models based on these factors show limitations in predictive performance.
- Future models require more efficient predictive factors to enhance accuracy for KSD recurrence.
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