Evidence map›Paper›PMID 31175141›Full record

ArticleJournal of the American Society of Nephrology : JASN2019

Symptomatic and Radiographic Manifestations of Kidney Stone Recurrence and Their Prediction by Risk Factors: A Prospective Cohort Study.

Matthew R D'Costa, William E Haley, Kristin C Mara, Felicity T Enders, Terri J Vrtiska, Vernon M Pais, Steven J Jacobsen, Cynthia H McCollough, John C Lieske, Andrew D Rule

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Clinical features ofFrontiers in cellular and infection microbiology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. [Association between Chinese visceral adiposity index and the risk of nephrolithiasis].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Matthew R D'CostaDivisions of Nephrology and Hypertension, and.
William E HaleyDivision of Nephrology, Mayo Clinic, Jacksonville, Florida.ORCID 0000-0002-5312-8660
Kristin C MaraBiomedical Statistics and Informatics, and.
Felicity T EndersBiomedical Statistics and Informatics, and.
Terri J VrtiskaDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Vernon M PaisDepartment of Urology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; and.
Steven J JacobsenDepartment of Research, Kaiser Permanente, Pasadena, California.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
John C LieskeDivisions of Nephrology and Hypertension, and.
Andrew D RuleDivisions of Nephrology and Hypertension, and Rule.Andrew@mayo.edu.ORCID 0000-0003-0338-7784

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
VISUALIZATION AND PATHOPHYSIOLOGY OF RENAL STONE PRECURSOR LESIONSU54DK100227 · NIDDK · MAYO CLINIC ROCHESTER · PI LIESKE, JOHN C · 2013 to 2017
$6.3M
Mayo Clinic Urology O'Brien Research CenterP50DK083007 · NIDDK · MAYO CLINIC ROCHESTER · PI LIESKE, JOHN C · 2008 to 2012
$5.3M
NCATS NIH HHS UL1 TR002377NIA NIH HHS R01 AG034676NIDDK NIH HHS P50 DK083007NIDDK NIH HHS U54 DK100227
6 · The paper itself

Abstract

backgroundMeaningful interpretation of changes in radiographic kidney stone burden requires understanding how radiographic recurrence relates to symptomatic recurrence and how established risk factors predict these different manifestations of recurrence.

methodsWe recruited first-time symptomatic stone formers from the general community in Minnesota and Florida. Baseline and 5-year follow-up study visits included computed tomography scans, surveys, and medical record review. We noted symptomatic recurrence detected by clinical care (through chart review) or self-report, and radiographic recurrence of any new stone, stone growth, or stone passage (comparing baseline and follow-up scans). To assess the prediction of different manifestations of recurrence, we used the Recurrence of Kidney Stone (ROKS) score, which sums multiple baseline risk factors.

resultsAmong 175 stone formers, 19% had symptomatic recurrence detected by clinical care and 25% detected by self-report; radiographic recurrence manifested as a new stone in 35%, stone growth in 24%, and stone passage in 27%. Among those with a baseline asymptomatic stone (54%), at 5 years, 51% had radiographic evidence of stone passage (accompanied by symptoms in only 52%). Imaging evidence of a new stone or stone passage more strongly associated with symptomatic recurrence detected by clinical care than by self-report. The ROKS score weakly predicted one manifestation-symptomatic recurrence resulting in clinical care (

conclusionsRecurrence after the first stone episode is both more common and more predictable when all manifestations of recurrence (symptomatic and radiographic) are considered.

Indexed as

HumansKidney CalculiProspective StudiesRecurrenceRisk FactorsSelf ReportTomography, X-Ray Computedclinical nephrologyEpidemiology and outcomeskidney stonesoutcomesrisk factors

Identifiers

PMID31175141
PMCPMC6622409

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.