Evidence map›Paper›PMID 33182633›Full record

ArticleNutrients2020

Urinary Sodium and Potassium Levels and Blood Pressure in Population with High Sodium Intake.

Da Young Song, Jiyoung Youn, Kyunga Kim, Joohon Sung, Jung Eun Lee

Abstract readTwin Study
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 1 paper.

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

1 citing paper in PubMed.

  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.

Da Young SongDepartment of Food and Nutrition, Sookmyung Women's University, Seoul 04310, Korea.
Jiyoung YounDepartment of Food and Nutrition, Seoul National University, Seoul 08826, Korea.
Kyunga KimStatistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul 06351, Korea.
Joohon SungDepartment of Epidemiology, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-9948-0160
Jung Eun LeeDepartment of Food and Nutrition, Seoul National University, Seoul 08826, Korea.ORCID 0000-0003-1141-878X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine the association of urinary sodium-to-creatinine ratio and potassium-to-creatinine ratio with blood pressure in a cross-sectional study comprising Korean adults who participated in the Healthy Twin Study. The participants consisted of 2653 men and women in the Healthy Twin Study aged ≥19 years. Participants' urinary excretion of sodium, potassium, and creatinine was measured from overnight half-day urine samples. Food intake was assessed using a validated food frequency questionnaire. We examined systolic and diastolic blood pressures according to sodium- or potassium-to-creatinine ratios using the generalized linear model. We determined food groups explaining high urinary sodium- or potassium-to-creatinine ratio using the reduced rank regression and calculated sodium- or potassium-contributing food score. We observed that systolic blood pressure was higher among men and women in the highest quintile of urinary sodium-to-creatinine ratio or sodium-to-potassium ratio than it was in the lowest quintile. Geometric means (95% CIs) of the lowest and the highest quintiles of systolic blood pressure (mmHg) were 113.4 (111.8-115.0) and 115.6 (114.1-117.2;

Indexed as

Sodium, DietaryAdultBlood PressureBody Mass IndexCreatinineCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedPotassiumRegression AnalysisRepublic of KoreaSodiumCreatininePotassiumSodiumSodium, Dietarydiastolic blood pressureHealthy Twin Studypotassiumsodiumsystolic blood pressure

Identifiers

PMID33182633
PMCPMC7697285

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Registered trials

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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.