Evidence map›Paper›PMID 30619693›Full record

ArticleKidney research and clinical practice2018

Estimating the urinary sodium excretion in patients with chronic kidney disease is not useful in monitoring the effects of a low-salt diet.

Se-Yun Kim, Yu Ho Lee, Yang-Gyun Kim, Ju-Young Moon, Ho Jun Chin, Sejoong Kim, Dong Ki Kim, Suhnggwon Kim, Jung Hwan Park, Sung Joon Shin and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Kidney research and clinical practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

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

  1. Pooled it
  2. Total Body Sodium Balance in Chronic Kidney Disease.International journal of nephrology · 2021
    Review
  3. Nutritional management in patients with chronic kidney disease.The Korean journal of internal medicine · 2020
    Review
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

14 authors at 8 institutions in 1 country.

Se-Yun KimDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Yu Ho LeeDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Yang-Gyun KimDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Ju-Young MoonDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Ho Jun ChinDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sejoong KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Suhnggwon KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Jung Hwan ParkDepartment of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea.
Sung Joon ShinDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
Bum Soon ChoiDepartment of Internal Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Korea.
Minjung LeeDepartment of Clinical Pharmacology, School of Medicine, Kyung Hee University, Seoul, Korea.
Sang-Ho LeeDepartment of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Kyung Hee University Medical Center · KRSeoul National University Hospital · KRDongguk University Ilsan Hospital · KRKonkuk University · KRKyung Hee University · KRSeoul National University Bundang Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral epidemiologic studies have suggested that the urine sodium excretion (USE) can be estimated in lieu of performing 24-hour urine collection. However, this method has not been verified in patients with chronic kidney disease (CKD) or in an interventional study. The purpose of this study was to evaluate the usefulness of estimating USE in a prospective low-salt diet education cohort (ESPECIAL).

methodsA new formula was developed on the basis of morning fasting urine samples from 228 CKD patients in the ESPECIAL cohort. This formula was compared to the previous four formulas in the prediction of 24-hour USE after treatment with olmesartan and low-salt diet education.

resultsMost previously reported formulas had low predictability of the measured USE based on the ESPECIAL cohort. Only the Tanaka formula showed a small but significant bias (9.8 mEq/day,

conclusionWe developed a more reliable formula for estimating the USE in CKD patients. Although estimating USE is applicable in an interventional study, it may be unsuitable for estimating the change of individual sodium intake in a low-salt intervention study.

Indexed as

Chronic kidney diseaseLow-salt dietSodium excretion

Identifiers

PMID30619693
PMCPMC6312772
OpenAlexW2901144835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.