Subtopic Deep Dive
Urolithiasis Epidemiology and Prevalence
Research Guide
What is Urolithiasis Epidemiology and Prevalence?
Urolithiasis epidemiology and prevalence studies the incidence rates, geographic variations, temporal trends, and demographic risk factors of kidney stone formation across populations.
Prevalence reaches 12% in men and 5% in women in the US, with rising trends observed globally (Coe, 2005; 762 citations). Annual US costs approach $2 billion, increasing despite treatment shifts (Pearle et al., 2005; 935 citations). Asian prevalence varies from 1% to 19.1% by region and socio-economic status (Liu et al., 2018; 377 citations).
Why It Matters
Epidemiological data guides public health strategies for rising stone disease burdens, with US costs at $2 billion yearly (Pearle et al., 2005). It predicts healthcare demands amid increasing prevalence linked to end-stage renal failure risks (Alelign and Petros, 2018). Regional studies inform targeted interventions, as Asian variations highlight environmental and dietary influences (Liu et al., 2018; Turney et al., 2011).
Key Research Challenges
Geographic Variation Heterogeneity
Prevalence differs widely, from 1%-19.1% in Asia due to socio-economic and regional factors (Liu et al., 2018). Standardized metrics across studies remain inconsistent (López and Höppe, 2008). This complicates global comparisons and risk modeling.
Temporal Trend Attribution
Rising incidence persists despite minimally invasive treatments, linked to dietary shifts (Pearle et al., 2005; Turney et al., 2011). Distinguishing environmental from demographic drivers proves difficult. Long-term cohort data are sparse for causal inference.
Demographic Risk Correlation
Sex differences show 12% prevalence in men versus 5% in women, with unclear mechanisms (Coe, 2005). Nutrition and obesity correlations require refined epidemiological models (Siener, 2021). Underreporting in low-resource areas biases estimates.
Essential Papers
UROLOGIC DISEASES IN AMERICA PROJECT: UROLITHIASIS
Margaret S. Pearle, Elizabeth A. Calhoun, Gary C. Curhan et al. · 2005 · The Journal of Urology · 935 citations
The cost of urolithiasis is estimated at almost $2 billion annually and it appears to be increasing with time despite a shift in inpatient to outpatient treatment and the emergence of minimally inv...
Kidney Stone Disease: An Update on Current Concepts
Tilahun Alelign, Beyene Petros · 2018 · Advances in Urology · 806 citations
Kidney stone disease is a crystal concretion formed usually within the kidneys. It is an increasing urological disorder of human health, affecting about 12% of the world population. It has been ass...
Kidney stone disease
F. L. Coe · 2005 · Journal of Clinical Investigation · 762 citations
About 5% of American women and 12% of men will develop a kidney stone at some time in their life, and prevalence has been rising in both sexes. Approximately 80% of stones are composed of calcium o...
Ultrasonography versus Computed Tomography for Suspected Nephrolithiasis
Rebecca Smith‐Bindman, Chandra Aubin, John Bailitz et al. · 2014 · New England Journal of Medicine · 622 citations
Initial ultrasonography was associated with lower cumulative radiation exposure than initial CT, without significant differences in high-risk diagnoses with complications, serious adverse events, p...
History, epidemiology and regional diversities of urolithiasis
Michelle López, Bernd Höppe · 2008 · Pediatric Nephrology · 455 citations
Observations on the Analysis of ten Thousand Urinary Calculi
Louis C. Herring · 1962 · The Journal of Urology · 380 citations
No AccessJournal of Urology1 Oct 1962Observations on the Analysis of ten Thousand Urinary Calculi Louis C. Herring Louis C. HerringLouis C. Herring More articles by this author View All Author Info...
Epidemiology of urolithiasis in Asia
Yu Liu, Yuntian Chen, Banghua Liao et al. · 2018 · Asian journal of urology · 377 citations
In Asia, about 1%-19.1% of the population suffer from urolithiasis. However, due to variations in socio-economic status and geographic locations, the prevalence and incidence have changed in differ...
Reading Guide
Foundational Papers
Start with Pearle et al. (2005; 935 citations) for US prevalence and costs, then Coe (2005; 762 citations) for sex differences and stone composition, followed by Herring (1962; 380 citations) for historical analysis baselines.
Recent Advances
Study Alelign and Petros (2018; 806 citations) for global updates, Liu et al. (2018; 377 citations) for Asian epidemiology, and Siener (2021; 324 citations) for nutrition-prevalence links.
Core Methods
Core methods encompass population incidence tracking (Turney et al., 2011), regional cohort studies (López and Höppe, 2008), and stone composition analysis (Herring, 1962).
How PapersFlow Helps You Research Urolithiasis Epidemiology and Prevalence
Discover & Search
Research Agent uses searchPapers and exaSearch to find epidemiology papers like 'UROLOGIC DISEASES IN AMERICA PROJECT: UROLITHIASIS' (Pearle et al., 2005), then citationGraph reveals trends from 935 citing works, while findSimilarPapers uncovers regional studies like Liu et al. (2018).
Analyze & Verify
Analysis Agent applies readPaperContent to extract prevalence rates from Coe (2005), verifies trends with verifyResponse (CoVe) against Pearle et al. (2005), and runs PythonAnalysis with pandas to compute incidence meta-statistics across 10 papers, graded via GRADE for evidence quality.
Synthesize & Write
Synthesis Agent detects gaps in temporal trend data post-Turney et al. (2011), flags contradictions in Asian prevalence (Liu et al., 2018), while Writing Agent uses latexEditText, latexSyncCitations for Pearle (2005), and latexCompile to generate reports with exportMermaid for prevalence trend diagrams.
Use Cases
"Analyze prevalence trends from 2000-2020 using Python meta-analysis."
Research Agent → searchPapers (urolithiasis epidemiology) → Analysis Agent → runPythonAnalysis (pandas aggregation of rates from Pearle 2005, Coe 2005) → matplotlib incidence plot output.
"Write LaTeX review on US urolithiasis costs and trends."
Synthesis Agent → gap detection (Pearle 2005 gaps) → Writing Agent → latexEditText (intro), latexSyncCitations (935 cites), latexCompile → PDF report with bibliography.
"Find code for kidney stone risk modeling from papers."
Research Agent → searchPapers (urolithiasis epidemiology models) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → Python scripts for prevalence simulation.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ urolithiasis epidemiology papers via searchPapers → citationGraph → structured CSV export of prevalence by region. DeepScan applies 7-step analysis with CoVe checkpoints to verify rising trends in Pearle et al. (2005) against Liu et al. (2018). Theorizer generates hypotheses on demographic drivers from Coe (2005) and Turney et al. (2011) data.
Frequently Asked Questions
What is the definition of urolithiasis epidemiology?
It examines incidence, prevalence, geographic variations, and trends in kidney stone disease across populations (Pearle et al., 2005; Coe, 2005).
What are key methods in urolithiasis prevalence studies?
Methods include population surveys, hospital registries, and stone analysis like Herring's 10,000 calculi dataset (1962), with modern cohort tracking for temporal trends (Turney et al., 2011).
What are the most cited papers?
Top papers are Pearle et al. (2005; 935 citations) on US costs, Coe (2005; 762 citations) on sex-specific prevalence, and Alelign and Petros (2018; 806 citations) on global risks.
What open problems exist?
Challenges include attributing rising trends to specific factors beyond diet, standardizing global metrics, and addressing underreporting in Asia (Liu et al., 2018; Siener, 2021).
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