Evidence map›Paper›PMID 39952551›Full record

ArticleContemporary clinical trials2025

Design of the Continuous Glucose Monitoring (CGM) Study in the Dietary Approaches to Stop Hypertension for Diabetes Trial (DASH4D-CGM).

Dan Wang, Scott Z Mu, Olive Tang, Justin B Echouffo-Tcheugui, Christine M Mitchell, Michael Fang, Mary R Rooney, Hsin-Chieh Yeh, Casey M Rebholz, Scott J Pilla and 2 more

Abstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Contemporary clinical trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Fast Bayesian Functional Principal Components Analysis.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2026
    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

12 authors.

Dan WangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA.
Scott Z MuDepartment of General Surgery, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Olive TangJohns Hopkins Hospital and Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Justin B Echouffo-TcheuguiDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
Christine M MitchellDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA.
Michael FangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA.
Mary R RooneyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA.
Hsin-Chieh YehDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
Scott J PillaDepartment of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA.
Lawrence J AppelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA. Electronic address: eselvin@jhu.edu.

Funding

Understanding and addressing risks of low socioeconomic status and diabetes for heart failureP50MD017348 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI COOPER, LISA A, CREWS, DEIDRA CANDICE · 2021 to 2025
$24.2M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Discovery, Replication, and Validation of Biomarkers of the DASH Diet and HypertensionR01HL153178 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2021 to 2024
$3.1M
Effects of the DASH diet on glucose patterns in adults with type 2 diabetesR01DK128900 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2021 to 2025
$2.6M
Establishing the Pathways Between Diabetes and Cardiac Dysfunction: Epidemiology, Biomarkers, and ImagingK23HL153774 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ECHOUFFO TCHEUGUI, JUSTIN BASILE · 2020 to 2024
$991k
An intervention to enhance hypoglycemia communication and preventive action in primary careK23DK128572 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PILLA, SCOTT · 2021 to 2024
$790k
Research and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612k
Disparities in the management and prognosis of type 1 diabetesK01DK138273 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Michael Fang · 2024 to 2026
$470k
NHLBI NIH HHS K23 HL153774NHLBI NIH HHS K24 HL152440NHLBI NIH HHS R01 HL153178NHLBI NIH HHS T32 HL007024NIDDK NIH HHS K01 DK138273NIDDK NIH HHS K23 DK128572NIDDK NIH HHS R01 DK128900NIMHD NIH HHS P50 MD017348
6 · The paper itself

Abstract

backgroundThe Dietary Approaches to Stop Hypertension (DASH) diet is recommended for adults with diabetes. However, the effects of the DASH diet on glucose control and variability have not been thoroughly investigated. STUDY

aimTo study the effects of a modified DASH diet on glycemic control and glucose variability assessed by continuous glucose monitoring (CGM) in individuals with hypertension and type 2 diabetes.

methodsWe conducted an ancillary study to add CGM to the Dietary Approaches to Stop Hypertension for Diabetes (DASH4D) Trial. The DASH4D Trial was designed to determine the effects, alone and combined, of a modified DASH diet (vs a diet typical of what Americans with diabetes eat) and lower (vs higher) sodium intake on systolic blood pressure among people with type 2 diabetes and elevated blood pressure. Participants were fed each of the 4 study diets for 5 weeks in a random order. We invited all participants enrolling in the DASH4D Trial to wear a masked CGM sensor for up to 14 days during screening and during each of the four 5-week feeding periods. The DASH4D-CGM Study primarily aimed to evaluate the effects of the modified DASH diet (vs comparison diet) on glycemic control (mean glucose and time-in-range) and glucose variability (coefficient of variation).

conclusionCombining CGM technology and a controlled feeding design, the DASH4D-CGM Study will generate robust data on the effects of diet on glycemic control and variability. These findings will inform dietary recommendations for adults with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Dietary Approaches To Stop HypertensionHypertensionAdultAgedBlood GlucoseBlood Glucose Self-MonitoringBlood PressureContinuous Glucose MonitoringFemaleGlycemic ControlHumansMaleMiddle AgedRandomized Controlled Trials as TopicBlood GlucoseContinuous glucose monitoring (CGM)Cross-over designRandomized controlled feeding trialReal-time hypoglycemia symptom reportingType 2 diabetes

Identifiers

PMID39952551
PMCPMC11911066

What OpenQuestion holds

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LicenceTDM
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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.