Evidence map›Paper›PMID 32701144›Full record

Trial reportAmerican journal of hypertension2020

Comparison of 3 Devices for 24-Hour Ambulatory Blood Pressure Monitoring in a Nonclinical Environment Through a Randomized Trial.

Tatiana Nwankwo, Sallyann M Coleman King, Yechiam Ostchega, Guangyu Zhang, Fleetwood Loustalot, Cathleen Gillespie, Tiffany E Chang, Elin B Begley, Mary G George, Daichi Shimbo and 5 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in American journal of hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

15 authors.

Tatiana NwankwoDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, Maryland, USA.
Sallyann M Coleman KingDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Yechiam OstchegaDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, Maryland, USA.
Guangyu ZhangDivision of Research and Methodology, National Center for Health Statistics, CDC, Hyattsville, Maryland, USA.
Fleetwood LoustalotDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Cathleen GillespieDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Tiffany E ChangDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Elin B BegleyDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Mary G GeorgeDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Daichi ShimboDepartment of Medicine, Center for Behavioral Cardiovascular Health, Columbia University, Medical Center, New York, New York, USA.
Joseph E SchwartzDepartment of Psychiatry and Behavioral Science, Applied Behavioral Medicine Research Institute, Stony Brook University, Stony Brook, New York, USA.
Paul MuntnerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ian M KronishDepartment of Medicine, Center for Behavioral Cardiovascular Health, Columbia University, Medical Center, New York, New York, USA.
Yuling HongDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.
Robert MerrittDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe U.S. Preventive Services Task Force recommends the use of 24-hour ambulatory blood pressure monitoring (ABPM) as part of screening and diagnosis of hypertension. The optimal ABPM device for population-based surveys is unknown.

methodsWe compared the proportion of valid blood pressure (BP) readings, mean awake and asleep BP readings, differences between awake ABPM readings and initial standardized BP readings, and sleep experience among three ABPM devices. We randomized a convenience sample of 365 adults to 1 of 3 ABPM devices: Welch Allyn Mobil-O-Graph (WA), Sun Tech Classic Oscar2 (STO) and Spacelabs 90227 (SL). Participants completed sleep quality questionnaires on the nights before and during ABPM testing.

resultsThe proportions of valid BP readings were not different among the 3 devices (P > 0.45). Mean awake and asleep systolic BP were significantly higher for STO device (WA vs. STO vs. SL: 126.65, 138.09, 127.44 mm Hg; 114.34, 120.34, 113.13 mm Hg; P < 0.0001 for both). The difference between the initial average standardized mercury systolic BP readings and the ABPM mean awake systolic BP was larger for STO device (WA vs. STO. vs. SL: -5.26, -16.24, -5.36 mm Hg; P < 0.0001); diastolic BP mean differences were ~ -6 mm Hg for all 3 devices (P = 0.6). Approximately 55% of participants reported that the devices interfered with sleep; however, there were no sleep differences across the devices (P > 0.4 for all).

conclusionMost of the participants met the threshold of 70% valid readings over 24 hours. Sleep disturbance was common but did not interfere with completion of measurement in most of the participants.

Indexed as

HypertensionSleep HygieneSphygmomanometersBlood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmFemaleHumansMaleMiddle AgedOutcome and Process Assessment, Health CareReproducibility of ResultsSurveys and Questionnaires24-hour ABPMblood pressureblood pressure measurementBPhypertensionNational Health and Nutrition Examination SurveyNHANES

Identifiers

PMID32701144
PMCPMC7641984

What Socratic 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 Socratic graph.