Evidence map›Paper›PMID 32650384›Full record

ArticleNutrients2020

Correcting for Intra-Individual Variability in Sodium Excretion in Spot Urine Samples Does Not Improve the Ability to Predict 24 h Urinary Sodium Excretion.

Karen Elizabeth Charlton, Aletta Elisabeth Schutte, Leanda Wepener, Barbara Corso, Paul Kowal, Lisa Jayne Ware

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. A Systematic Review of Salt Taste Function and Perception Impairments in Adults with Chronic Kidney Disease.International journal of environmental research and public health · 2022
    Pooled it
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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 5 institutions in 5 countries.

Karen Elizabeth CharltonSchool of Medicine, University of Wollongong, Wollongong 2522, Australia.ORCID 0000-0002-8044-444X
Aletta Elisabeth SchutteSchool of Public Health and Community Medicine, University of New South Wales, The George Institute for Global Health, Sydney 2052, Australia.ORCID 0000-0001-9217-4937
Leanda WepenerHypertension in Africa Research Team (HART), North-West University, Potchefstroom 2520, South Africa.
Barbara CorsoNeuroscience Institute, National Research Council, 35121 Padova, Italy.ORCID 0000-0002-0684-9078
Paul KowalResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Lisa Jayne WareSA MRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg 2013, South Africa.ORCID 0000-0002-9762-4017
North-West University · ZANeuroscience Institute · ITSouth African Medical Research Council · ZAUniversity of Wollongong · AUWorld Health Organization · CH

Funding

Bloomberg Philanthropies XXXXXXXWorld Health Organization 001
6 · The paper itself

Abstract

Given a global focus on salt reduction efforts to reduce cardiovascular risk, it is important to obtain accurate measures of salt intake on a population level. This study determined firstly whether adjustment for intra-individual variation in urinary sodium (Na) excretion using three repeated 24 h collections affects daily estimates and whether the use of repeated spot urine samples results in better prediction of 24 h Na compared to a single collection. Twenty three community-dwelling men and women from South Africa (mean age 59.7 years (SD = 15.6)) participating in the World Health Organization Study on global AGEing and adult health (WHO-SAGE) Wave 3 study collected 24 h and spot early morning urine samples over three consecutive days to assess urinary Na excretion. INTERSALT, Tanaka, and Kawasaki prediction equations, with either average or adjusted spot Na values, were used to estimate 24 h Na and compared these against measured 24 h urinary Na. Adjustment was performed by using the ratio of between-person (sb) and total (sobs) variability obtained from repeated measures analysis of variance. Sensitivity of the equations to predict daily urinary Na values below 5 g salt equivalent was calculated. The sb/sobs for urinary Na using three repeated samples for spot and 24 h samples were 0.706 and 0.798, respectively. Correction using analysis of variance for 3 × 24 h collections resulted in contraction of the upper end of the distribution curve (90th centile: 157 to 136 mmoL/day; 95th centile: 220 to 178 mmoL/day). All three prediction equations grossly over-estimated 24 h urinary Na excretion, regardless of whether a single spot urine or repeated collections corrected for intra-individual variation were used. Sensitivity of equations to detect salt intake equivalent values of ≤5 g/day was 13% for INTERSALT, while the other two equations had zero sensitivity. Correcting for intra-individual variability in Na excretion using three 24 h urine collections contracted the distribution curve for high intakes. Repeated collection of spot samples for urinary Na analysis does not improve the accuracy of predicting 24 h Na excretion. Spot urine samples are not appropriate to detect participants with salt intakes below the recommended 5 g/day.

Indexed as

EatingRecommended Dietary AllowancesAgedFemaleHeart Disease Risk FactorsHumansIndependent LivingMaleMiddle AgedPredictive Value of TestsSensitivity and SpecificitySodium Chloride, DietarySouth AfricaTime FactorsUrinalysisWorld Health OrganizationSodium Chloride, Dietaryequationssaltsensitivitysodiumspot urineurinary excretionvariability

Identifiers

PMID32650384
PMCPMC7400094
OpenAlexW3041749712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.