Evidence map›Paper›PMID 37137641›Full record

ArticleMayo Clinic proceedings2023

Disruption in Blood Pressure Control With the COVID-19 Pandemic: The PCORnet Blood Pressure Control Laboratory.

Alanna M Chamberlain, Rhonda M Cooper-DeHoff, Valy Fontil, Ester Kim Nilles, Kathryn M Shaw, Myra Smith, Feng Lin, Eric Vittinghoff, Carlos Maeztu, Jonathan V Todd and 20 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  11. What Constitutes Adequate Control of High Blood Pressure? Current Considerations.Mayo Clinic proceedings. Innovations, quality & outcomes · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN. Electronic address: chamberlain.alanna@mayo.edu.
Rhonda M Cooper-DeHoffDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville; Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville.
Valy FontilDivision of General Internal Medicine, Department of Medicine, University of California San Francisco; UCSF Center for Vulnerable Populations, San Francisco General Hospital, San Francisco, CA.
Ester Kim NillesDuke Clinical Research Institute, Duke University, Durham, NC.
Kathryn M ShawDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville.
Myra SmithDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville.
Feng LinDepartment of Epidemiology and Biostatistics, University of California San Francisco.
Eric VittinghoffDepartment of Epidemiology and Biostatistics, University of California San Francisco.
Carlos MaeztuCitizen Scientist, Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville.
Jonathan V ToddOCHIN Inc, Portland, OR.
Thomas CartonLouisiana Public Health Institute, New Orleans.
Emily C O'BrienDuke Clinical Research Institute, Duke University, Durham, NC.
Madelaine Faulkner ModrowDepartment of Epidemiology and Biostatistics, University of California San Francisco.
Gregory WozniakAmerican Medical Association, Chicago, IL.
Michael RakotzAmerican Medical Association, Chicago, IL.
Eduardo SanchezAmerican Heart Association, Dallas, TX.
Steven M SmithDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville.
Tamar S PolonskyDepartment of Medicine, University of Chicago Medicine, Chicago, IL.
Faraz S AhmadDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Mei LiuDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City.
James C McClayDepartment of Emergency Medicine, University of Nebraska Medical Center, Omaha.
Jeffrey J VanWormerCenter for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI.
Bradley W TaylorMedical College of Wisconsin, Milwaukee.
Elizabeth A ChrischillesDepartment of Epidemiology, University of Iowa, Iowa City.
Shenghui WuDepartment of Health and Exercise Science, Appalachian State University, Boone, NC.
Anthony J VieraDepartment of Family Medicine and Community Health, Duke University, Durham, NC.
Daniel E FordJohns Hopkins Institute for Clinical and Translational Research, Baltimore, MD.
Wenke HwangPenn State University College of Medicine, Hershey, PA.
Kirk U KnowltonCardiovascular Department, Intermountain Heart Institute, Salt Lake City, UT.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California San Francisco.

Funding

RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
Identifying Personalized Risk of Acute Kidney Injury with Machine LearningR01DK116986 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI LIU, MEI · 2019 to 2021
$1.5M
Advancing Personalized Hypertension Care through Big Data ScienceK01HL138172 · NHLBI · UNIVERSITY OF FLORIDA · PI SMITH, STEVEN MICHAEL · 2018 to 2022
$726k
NCATS NIH HHS UL1 TR002366NHLBI NIH HHS K01 HL138172NIDDK NIH HHS R01 DK116986
6 · The paper itself

Abstract

objectiveTo explore trends in blood pressure (BP) control before and during the COVID-19 pandemic. PATIENTS AND

methodsHealth systems participating in the National Patient-Centered Clinical Research Network (PCORnet) Blood Pressure Control Laboratory Surveillance System responded to data queries, producing 9 BP control metrics. Averages of the BP control metrics (weighted by numbers of observations in each health system) were calculated and compared between two 1-year measurement periods (January 1, 2019, through December 31, 2019, and January 1, 2020, through December 31, 2020).

resultsAmong 1,770,547 hypertensive persons in 2019, BP control to <140/<90 mm Hg varied across 24 health systems (range, 46%-74%). Reduced BP control occurred in most health systems with onset of the COVID-19 pandemic; the weighted average BP control was 60.5% in 2019 and 53.3% in 2020. Reductions were also evident for BP control to <130/<80 mm Hg (29.9% in 2019 and 25.4% in 2020) and improvement in BP (reduction of 10 mm Hg in systolic BP or achievement of systolic BP <140 mm Hg; 29.7% in 2019 and 23.8% in 2020). Two BP control process metrics exhibited pandemic-associated disruption: repeat visit in 4 weeks after a visit with uncontrolled hypertension (36.7% in 2019 and 31.7% in 2020) and prescription of fixed-dose combination medications among those with 2 or more drug classes (24.6% in 2019 and 21.5% in 2020).

conclusionBP control decreased substantially during the COVID-19 pandemic, with a corresponding reduction in follow-up health care visits among persons with uncontrolled hypertension. It is unclear whether the observed decline in BP control during the pandemic will contribute to future cardiovascular events.

Indexed as

COVID-19HypertensionAntihypertensive AgentsBlood PressureHumansPandemicsAntihypertensive Agents

Identifiers

PMID37137641
PMCPMC9874044

What OpenQuestion holds

Textmetadata
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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.