Evidence map›Paper›PMID 30473637›Full record

ArticleReviews in urology2018

Accuracy in 24-hour Urine Collection at a Tertiary Center.

Carter Boyd, Kyle Wood, Dustin Whitaker, Omotola Ashorobi, Lisa Harvey, Robert Oster, Ross P Holmes, Dean G Assimos

Abstract read
In one paragraph

Article in Reviews in urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Machine Learning Approaches to Predict 24-Hour Urine Collection Results Based on Self-Reported Beverage Intake.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
    Article
  4. Article
  5. Review
  6. Summary of the clinical practice guideline for the management of urinary stones, third edition.International journal of urology : official journal of the Japanese Urological Association · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Steroid profiling in the diagnosis of mild and overt Cushing's syndrome.Best practice & research. Clinical endocrinology & metabolism · 2021
    Review
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Carter BoydUniversity of Alabama-Birmingham School of Medicine Birmingham, AL.
Kyle WoodDepartment of Urology, University of Alabama-Birmingham Birmingham, AL.
Dustin WhitakerUniversity of Alabama-Birmingham School of Medicine Birmingham, AL.
Omotola AshorobiDepartment of Urology, University of Alabama-Birmingham Birmingham, AL.
Lisa HarveyDepartment of Urology, University of Alabama-Birmingham Birmingham, AL.
Robert OsterDepartment of Medicine, University of Alabama-Birmingham Birmingham, AL.
Ross P HolmesDepartment of Urology, University of Alabama-Birmingham Birmingham, AL.
Dean G AssimosDepartment of Urology, University of Alabama-Birmingham Birmingham, AL.

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Obesity and Endogenous Oxalate SynthesisK08DK115833 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WOOD, KYLE D · 2018 to 2022
$960k
NIDDK NIH HHS K08 DK115833NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

There is a paucity of studies addressing the accuracy of 24-hour urine collection for assessing stone risk parameters. Collection accuracy is thought to be essential for assigning optimal therapy for stone prevention. The objective of this study was to determine factors associated with accurate and inaccurate collections. During a 2-year period (2015-2016), 241 stone formers completed 24-hour urine collections. They were divided into accurate collectors (AC), defined as at least one accurate urine collection, and inaccurate collectors (IC). Accuracy was assessed by 24-hour urine creatinine (Cr) excretion indexed to body weight (normal: males, 20-25 mg Cr/kg; females, 15-20 mg Cr/kg). Demographic data analyzed included age, gender, race, insurance status, partner status, income, and education. Statistical analysis methods included the chi-square test, Fisher's exact test, and the two-group t-test. Average age was 50.7 years at the time of collection; 50.2% were men, 86% were white, and 14% were black. Overall, 51.0% of collections were inaccurate. There was no statistical significance between AC and IC for gender (

Indexed as

24-hour urine collection, accuracyDemographicsKidney stonesMetabolic evaluationSocioeconomic factors

Identifiers

PMID30473637
PMCPMC6241899

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.