Evidence map›Paper›PMID 36184219›Full record

ArticleClinical nutrition ESPEN2022

Patient self-assessment of urine dipsticks to estimate sodium intake in patients with hypertension.

Lana Alhashimi, David J Cordwin, Chaitanya Dandu, Scott L Hummel, Michael P Dorsch

2 registry-linked trialsOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical nutrition ESPEN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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.

NCT03099343 nacompletednot on this map

Location-based Tailored Messaging to Reduce Sodium Intake in Hypertensive Patients

TypeinterventionalSponsorUniversity of MichiganRan2017 to 2019Enrolled50ConditionsHypertensionArmsLocation-based Tailored Messaging
NCT07485075 narecruitingnot on this mapstarted 2026, after this paper: background citation

Sbi 2024-2026 steno food concept

TypeinterventionalSponsorSteno Diabetes Center CopenhagenRan2026 to 2027Enrolled104ConditionsDiabetes Type 2, Kidney DiseaseArmsStenoFood App
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Lana AlhashimiCollege of Pharmacy, University of Michigan, Ann Arbor, MI, USA.
David J CordwinCollege of Pharmacy, University of Michigan, Ann Arbor, MI, USA.
Chaitanya DanduSchool of Medicine, Wayne State University, Detroit, MI, USA.
Scott L HummelFrankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, Medical School, University of Michigan, Ann Arbor, MI, USA; Ann Arbor Veterans Affairs Health System, Ann Arbor, MI, USA.
Michael P DorschCollege of Pharmacy, University of Michigan, Ann Arbor, MI, USA; Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA. Electronic address: mdorsch@med.umich.edu.
University of Michigan · USWayne State University · US

Funding

A geofencing based adaptive messaging system to support patient self-management of a low sodium diet in hypertensionR21HS024567 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DORSCH, MICHAEL · 2016 to 2017
$300k
AHRQ HHS R21 HS024567
6 · The paper itself

Abstract

BACKGROUND &

aimsDietary sodium restriction is recommended by current guidelines to reduce blood pressure and decrease the risk of cardiovascular disease. Current methods to assess sodium intake such as dietary questionnaires and 24-h urine collection are cumbersome, and the results are not readily available to patients. In this analysis, we evaluated using chloride and creatinine dipsticks as a convenient method to monitor sodium intake, in addition to patients' ability to practice this method independently.

methodsThis is a post-hoc analysis of a previously published trial, LowSalt4Life, that measured change in sodium consumption over 8 weeks to evaluate the effect of a just-in-time adaptive mobile application intervention. Participants were instructed on how to complete and interpret Quantab® chloride and Multistix® PRO 10 LS creatinine dipstick measurements at home and upload a picture of their results. A pharmacy student interpreted the chloride dipsticks, and intraclass correlation coefficients (ICC) were calculated to assess interrater reliability between the participant and pharmacy student. Predicted 24-h sodium values were calculated by the Kawasaki and Mann methods and compared to actual 24-h sodium excretion.

resultsThere was a strong interobserver correlation between interpretations of the chloride dipsticks, with the ICC values 0.90, 0.97, 0.99, and 0.98 at weeks 2, 4, 6, and 8, respectively. There was a moderate correlation between the dipstick predicted 24-h sodium excretion and actual 24-h sodium excretion at baseline (r = 0.506; P < 0.001), and a weak correlation at week 8 (r = 0.187; P = 0.217). When corrected creatinine values were used, the dipstick predicted 24-h sodium excretion correlated with the actual 24-h sodium excretion at baseline and week 8 (r = 0.512; P < 0.001 and r = 0.451; P = 0.002).

conclusionsOur analysis suggests that chloride and creatinine dipsticks have the potential to predict total daily excretion of sodium. This method provides patients with an easy, convenient, and accurate method to assess sodium excretion at home. Further research is needed to identify the optimal timing of performing the dipstick analysis as well as ways to improve the creatinine measurement of the urine samples.

trial registrationClinicalTrials.gov NCT03099343; https://clinicaltrials.gov/ct2/show/NCT03099343.

Indexed as

HypertensionSodium, DietaryChloridesCreatinineHumansReproducibility of ResultsSelf-AssessmentSodiumSodium RadioisotopesChloridesCreatinineSodiumSodium-24Sodium, DietarySodium RadioisotopesChloride dipstickCreatinine dipstickHypertensionSodium excretion

Identifiers

PMID36184219
PMCPMC10315000
OpenAlexW4290860611

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.