Evidence map›Paper›PMID 31193855›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2019

Predictive Factors for Achieving the Recommended AUA Daily Urine Production in Patients With Nephrolithiasis.

Kimberly Tay, Anojan Navaratnam, Sean McAdams, Mira Keddis, Matthew Neville, Mitchell R Humphreys

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Trial
  2. 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 · 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

6 authors at 2 institutions in 1 country.

Kimberly TayDepartment of Urology, Mayo Clinic, Phoenix, AZ.
Anojan NavaratnamDepartment of Urology, Mayo Clinic, Phoenix, AZ.
Sean McAdamsDepartment of Urology, Mayo Clinic, Phoenix, AZ.
Mira KeddisDepartment of Urology, Mayo Clinic, Phoenix, AZ.
Matthew NevilleDepartment of Biostatistics, Mayo Clinic, Phoenix, AZ.
Mitchell R HumphreysDepartment of Urology, Mayo Clinic, Phoenix, AZ.
Mayo Clinic in Florida · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify factors that predict kidney stone patient's ability to produce 2.5 L urine volume per day on metabolic evaluation. PATIENTS AND

methodsIn a retrospective chart review, the first analysis evaluated

resultsPatients' initial collections (n=1100) that achieved 2.5 L/day (n=274) were of younger age and had a higher body mass index, increased urine sodium, phosphorus, calcium levels, increased protein catabolic rate, and decreased supersaturation of calcium oxalate. In the second analysis (n=273), decreased supersaturation of calcium oxalate, increased urine urea nitrogen level, and increased protein catabolic rate were observed in subsequent collections with a urine volume of 2.5 L/day or more. Patients with a diagnosis of hyponatremia were less likely to achieve 2.5 L/day urine volume. Collection date, other comorbidities, and diuretic use were not associated with achieving 2.5 L/day urine volume. Patients' mean creatinine per kilogram for all study cohorts were within the range of adequate collection.

conclusionPredictive factors for a urine volume of 2.5 L/day or more include increased fluid intake, higher salt and animal protein diet, elevated body mass index, and male sex. Patients with these factors may require interventions other than hydration recommendations to optimize their prevention of future kidney.

Indexed as

AUA, American Urological AssociationBMI, body mass indexCr24/Kg, creatinine per kilogramSSCaOx, supersaturation of calcium oxalate

Identifiers

PMID31193855
PMCPMC6543444
OpenAlexW2947462078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.