Evidence map›Paper›PMID 35665802›Full record

ArticleAmerican journal of hypertension2022

Cost-Effectiveness of Masked Hypertension Screening and Treatment in US Adults With Suspected Masked Hypertension: A Simulation Study.

Matthew B Green, Daichi Shimbo, Joseph E Schwartz, Adam P Bress, Jordan B King, Paul Muntner, James P Sheppard, Richard J McManus, Ciaran N Kohli-Lynch, Yiyi Zhang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

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

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

13 authors at 5 institutions in 2 countries.

Matthew B GreenDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0003-3903-7567
Daichi ShimboDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0001-6302-8834
Joseph E SchwartzDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Adam P BressDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Jordan B KingDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Paul MuntnerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
James P SheppardNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ciaran N Kohli-LynchCenter for Health Services and Outcomes Research, Institute of Public Health and Medicine, Northwestern Feinberg School of Medicine, Northwestern University, Chicago, Illinois,USA.
Yiyi ZhangDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Steven SheaDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Andrew E MoranDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Brandon K BellowsDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0003-1395-6047
Columbia University Irving Medical Center · USUniversity of Oxford · GBUniversity of Utah · USNorthwestern University · USUniversity of Alabama at Birmingham · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Incorporation of a Hypertension Working Group into the Jackson Heart StudyR01HL117323 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E, OGEDEGBE, OLUGBENGA G. · 2013 to 2024
$7.2M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Evaluating novel approaches for estimating awake and sleep blood pressureR01HL139716 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, SHIMBO, DAICHI · 2018 to 2021
$3.4M
Model Based Approach to Improving Hypertension Control in PopulationsR01HL130500 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2016 to 2019
$2.4M
Improving the Detection of Masked Hypertension: Analysis of Pooled Population- and Community-Based StudiesR01HL144773 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MUNTNER, PAUL, VIERA, ANTHONY J · 2019 to 2021
$1.2M
Genetic ancestry and antihypertensive medication responses in African AmericansK01HL133468 · NHLBI · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2016 to 2020
$787k
Comparing the value of intensive systolic blood pressure treatment implementation strategiesK01HL140170 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BELLOWS, BRANDON K · 2018 to 2022
$709k
British Heart FoundationDepartment of HealthNCATS NIH HHS KL2 TR001874NCATS NIH HHS UL1 TR001873NHLBI NIH HHS K01 HL133468NHLBI NIH HHS K01 HL140170NHLBI NIH HHS R01 HL117323NHLBI NIH HHS R01 HL130500NHLBI NIH HHS R01HL130500NHLBI NIH HHS R01 HL139716NHLBI NIH HHS R01 HL144773NHLBI NIH HHS R25 HL105444Wellcome Trust 211182/Z/18/Z
6 · The paper itself

Abstract

backgroundRecent US blood pressure (BP) guidelines recommend using ambulatory BP monitoring (ABPM) or home BP monitoring (HBPM) to screen adults for masked hypertension. However, limited evidence exists of the expected long-term effects of screening for and treating masked hypertension.

methodsWe estimated the lifetime health and economic outcomes of screening for and treating masked hypertension using the Cardiovascular Disease (CVD) Policy Model, a validated microsimulation model. We simulated a cohort of 100,000 US adults aged ≥20 years with suspected masked hypertension (i.e., office BP 120-129/<80 mm Hg, not taking antihypertensive medications, without CVD history). We compared usual care only (i.e., no screening), usual care plus ABPM, and usual care plus HBPM. We projected total direct healthcare costs (2021 USD), quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios. Future costs and QALYs were discounted 3% annually. Secondary outcomes included CVD events and serious adverse events.

resultsRelative to usual care, adding masked hypertension screening and treatment with ABPM and HBPM was projected to prevent 14.3 and 20.5 CVD events per 100,000 person-years, increase the proportion experiencing any treatment-related serious adverse events by 2.7 and 5.1 percentage points, and increase mean total costs by $1,076 and $1,046, respectively. Compared with usual care, adding ABPM was estimated to cost $85,164/QALY gained. HBPM resulted in lower QALYs than usual care due to increased treatment-related adverse events and pill-taking disutility.

conclusionsThe results from our simulation study suggest screening with ABPM and treating masked hypertension is cost-effective in US adults with suspected masked hypertension.

Indexed as

HypertensionMasked HypertensionAdultAntihypertensive AgentsBlood PressureBlood Pressure Monitoring, AmbulatoryCost-Benefit AnalysisHumansAntihypertensive Agentsambulatory blood pressure monitoringblood pressurecost-effectivenesshome blood pressure monitoringhypertensionmasked hypertension

Identifiers

PMID35665802
PMCPMC9340638
OpenAlexW4281768389

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.