Evidence map›Paper›PMID 31693299›Full record

Trial reportJournal of clinical hypertension (Greenwich, Conn.)2019

Impact of fractional excretion of sodium on a single morning void urine collection as an estimate of 24-hour urine sodium.

Caryl A Nowson, Karen Lim, Norm R C Campbell, Stella L O'Connell, Feng J He, Robin M Daly

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical hypertension (Greenwich, Conn.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. The damaging duo: Obesity and excess dietary salt contribute to hypertension and cardiovascular disease.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Review
  3. Observational
  4. Article
  5. 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 3 institutions in 3 countries.

Caryl A NowsonSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Waurn Ponds Campus, Geelong, Vic., Australia.ORCID 0000-0001-6586-7965
Karen LimSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Waurn Ponds Campus, Geelong, Vic., Australia.
Norm R C CampbellDepartments of Medicine, Community Health Sciences, and Physiology and Pharmacology, O'Brien Institute of Public Health, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-1093-4742
Stella L O'ConnellSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Waurn Ponds Campus, Geelong, Vic., Australia.
Feng J HeCentre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0003-2807-4119
Robin M DalySchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Waurn Ponds Campus, Geelong, Vic., Australia.
Deakin University · AUQueen Mary University of London · GBUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard for assessing dietary sodium intake is to measure 24-hour urine sodium. On average, 93% of daily sodium intake is excreted over 24-hours. Expense and difficulties in obtaining complete 24-hour collections have led to the measurement of sodium concentration in spot and single-void urine samples, using predictive equations to estimate 24-hour urine sodium. Although multiple predictive equations have been developed, in addition to having an average bias, all the equations overestimate 24-hour sodium at lower levels of 24-hour sodium and underestimate 24-hour urine sodium at higher levels of 24-hour sodium. One of the least biased estimating equations is the INTERSALT equation, which incorporates a spot urine creatinine concentration. The authors hypothesized that differential fractional excretion of sodium (FeNa)(derived from a morning void collection) relative to creatinine would impact on the accuracy of the INTERSALT equation in estimating 24-hour urine sodium. In a prospective study of 139 adults aged 65 years and over, three sequential morning void and 24-hour urine samples were examined. There was a significant correlation between increasing FENa and the difference between estimated and measured 24-hours urine sodium (r = 0.358, P < .01). In the lowest quartile of FENa, the INTERSALT equation overestimated 24-hour urine sodium, but underestimated 24-hour urine sodium with greater magnitude in each of the subsequent quartiles of FENa. Differential excretion of sodium relative to creatinine, potentially impacted by renal blood flow and hydration, among other factors, affected the accuracy of the INTERSALT equation. Additional research may refine the INTERSALT and other predictive equations to increase their accuracy.

Indexed as

AgedBlood PressureCircadian RhythmCreatinineEatingFemaleHumansHypertensionKidney Function TestsMaleOrganism Hydration StatusPredictive Value of TestsProspective StudiesRenal CirculationSodiumSodium, DietaryCreatinineSodiumSodium, Dietary24-hours urine collectionsalt intakesodiumspot urine collection

Identifiers

PMID31693299
PMCPMC8030377
OpenAlexW2982956487

What OpenQuestion holds

Textmetadata
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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.