Evidence map›Paper›PMID 28834119›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2017

Racial differences in nocturnal dipping status in diabetic kidney disease: Results from the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) study.

Leah L Zullig, Clarissa J Diamantidis, Hayden B Bosworth, Manjushri V Bhapkar, Huiman Barnhart, Megan M Oakes, Jane F Pendergast, Julie J Miller, Uptal D Patel

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Lessons learned from two randomized controlled trials: CITIES and STOP-DKD.Contemporary clinical trials communications · 2020
    Article
  3. Article
  4. Abnormal blood pressure dipping in diabetic kidney disease: A black-race nightmare?Journal of clinical hypertension (Greenwich, Conn.) · 2017
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Leah L ZulligCenter of Excellence for Health Services Research in Primary Care, Durham Veterans Affairs Health Care Center, Durham, NC, USA.ORCID http://orcid.org/0000-0002-6638-409X
Clarissa J DiamantidisDivision of General Internal Medicine, Duke University, Durham, NC, USA.
Hayden B BosworthCenter of Excellence for Health Services Research in Primary Care, Durham Veterans Affairs Health Care Center, Durham, NC, USA.
Manjushri V BhapkarDuke Clinical Research Institute, Duke University, Durham, NC, USA.
Huiman BarnhartDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Megan M OakesDivision of General Internal Medicine, Duke University, Durham, NC, USA.
Jane F PendergastDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Julie J MillerDivision of General Internal Medicine, Duke University, Durham, NC, USA.
Uptal D PatelDivision of Nephrology, Duke University, Durham, NC, USA.
Duke University · US

Funding

Renal Genomics CoreP30DK096493 · NIDDK · DUKE UNIVERSITY · PI GURLEY, SUSAN BAILEY · 2012 to 2016
$5.9M
Multi-factorial Intervention to Slow Progression of Diabetic Kidney DiseaseR01DK093938 · NIDDK · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B, DIAMANTIDIS, CLARISSA JONAS · 2013 to 2017
$3.4M
Integrated Population Program for Diabetic Kidney DiseaseR34DK102166 · NIDDK · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B, BOULWARE, LEIGH E · 2014 to 2015
$711k
Is there a digital divide in Chronic Kidney Disease (CKD)?K23DK099385 · NIDDK · DUKE UNIVERSITY · PI DIAMANTIDIS, CLARISSA JONAS · 2014 to 2017
$678k
HSRD VA CDA 13-025HSRD VA IK6 HX003161Intramural VA VA999999NIDDK NIH HHS K23 DK099385NIDDK NIH HHS P30 DK096493NIDDK NIH HHS R01 DK093938NIDDK NIH HHS R34 DK102166
6 · The paper itself

Abstract

While racial variation in ambulatory blood pressure (BP) is known, patterns of diurnal dipping in the context of diabetic kidney disease have not been well defined. The authors sought to determine the association of race with nocturnal dipping status among participants with diabetic kidney disease enrolled in the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) trial. The primary outcome was nocturnal dipping-percent decrease in average systolic BP from wake to sleep-with categories defined as reverse dippers (decrease <0%), nondippers (0%-<10%), and dippers (≥10%). Twenty-four-hour ambulatory BP monitoring was completed by 108 participants (54% were nondippers, 24% were dippers, and 22% were reverse dippers). In adjusted models, the common odds of reverse dippers vs nondippers/dippers and reverse dippers/nondippers vs dippers was 2.6 (95% confidence interval, 1.2-5.8) times higher in blacks than in whites. Without ambulatory BP monitoring data, interventions that target BP in black patients may be unable to improve outcomes in this high-risk group.

Indexed as

Diabetic NephropathiesHypertensionTelemedicineAgedAntihypertensive AgentsBlack or African AmericanBlack PeopleBlood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmDisease ProgressionFemaleHumansMaleMiddle AgedRisk FactorsAntihypertensive Agentsambulatory blood pressure monitoringdiabetic kidney diseasepopulation groupsrace

Identifiers

PMID28834119
PMCPMC5722697
OpenAlexW2745809279

What OpenQuestion holds

Textmetadata
LicenceTDM
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.