Evidence map›Paper›PMID 27519166›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2016

DASH (Dietary Approaches to Stop Hypertension) Diet and Risk of Subsequent Kidney Disease.

Casey M Rebholz, Deidra C Crews, Morgan E Grams, Lyn M Steffen, Andrew S Levey, Edgar R Miller, Lawrence J Appel, Josef Coresh

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In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 10 pooled it
19.7field-weighted citation impact, top 1% 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

122 citing papers in PubMed, 10 syntheses or guidelines pooled it, 285 citations in OpenAlex.

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  17. Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
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62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Casey M RebholzWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Electronic address: crebhol1@jhu.edu.
Deidra C CrewsWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Morgan E GramsWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Lyn M SteffenDivision of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN.
Andrew S LeveyWilliam B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Edgar R MillerWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Lawrence J AppelWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Josef CoreshWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Welch Foundation · USJohns Hopkins University · USJohns Hopkins Medicine · USMinnesota Department of Health · USTufts Medical Center · US

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI POLLIN, TONI I. · 2005 to 2019
$17.3M
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
Metabolomics for Identifying Biomarkers of Dietary Intake & Kidney Disease ProgressionK01DK107782 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2016 to 2020
$778k
Race, Socioeconomic Status, Diet and Chronic Kidney DiseaseK23DK097184 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 2013 to 2016
$684k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNIDDK NIH HHS K01 DK107782NIDDK NIH HHS K08 DK092287NIDDK NIH HHS K23 DK097184NIDDK NIH HHS P30 DK072488
6 · The paper itself

Abstract

backgroundThere are established guidelines for recommended dietary intake for hypertension treatment and cardiovascular disease prevention. Evidence is lacking for effective dietary patterns for kidney disease prevention. STUDY

designProspective cohort study. SETTING &

participantsAtherosclerosis Risk in Communities (ARIC) Study participants with baseline estimated glomerular filtration rate (eGFR) ≥ 60mL/min/1.73m PREDICTOR: The Dietary Approaches to Stop Hypertension (DASH) diet score was calculated based on self-reported dietary intake of red and processed meat, sweetened beverages, sodium, fruits, vegetables, whole grains, nuts and legumes, and low-fat dairy products, averaged over 2 visits. OUTCOMES: Cases were ascertained based on the development of eGFRs<60mL/min/1.73m

results3,720 participants developed kidney disease during a median follow-up of 23 years. Participants with a DASH diet score in the lowest tertile were 16% more likely to develop kidney disease than those with the highest score tertile (HR, 1.16; 95% CI, 1.07-1.26; P for trend < 0.001), after adjusting for sociodemographics, smoking status, physical activity, total caloric intake, baseline eGFR, overweight/obese status, diabetes status, hypertension status, systolic blood pressure, and antihypertensive medication use. Of the individual components of the DASH diet score, high red and processed meat intake was adversely associated with kidney disease and high nuts, legumes, and low-fat dairy products intake was associated with reduced risk for kidney disease. LIMITATIONS: Potential measurement error due to self-reported dietary intake and lack of data for albuminuria.

conclusionsConsuming a DASH-style diet was associated with lower risk for kidney disease independent of demographic characteristics, established kidney risk factors, and baseline kidney function. Healthful dietary patterns such as the DASH diet may be beneficial for kidney disease prevention.

Indexed as

Cohort StudiesFemaleHumansHypertensionKidney DiseasesMaleMiddle AgedProspective StudiesRisk FactorsChronic kidney disease (CKD)DASH diet scoredietdietary acid loaddietary proteindisease progressionfood frequency questionnairehealth promotionincident kidney diseasekidney disease preventionmodifiable risk factorrenal function

Identifiers

PMID27519166
PMCPMC5123940
OpenAlexW2481865834

What OpenQuestion holds

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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.