Evidence map›Paper›PMID 36520024›Full record

ArticleAmerican journal of hypertension2023

Technical Dissonance in Home Blood Pressure Monitoring After Stroke: Having the Machine, but Not Using Correctly.

Rachel Forman, Catherine M Viscoli, Katherine Meurer, Kevin N Sheth, Lauren H Sansing, Adam de Havenon, Richa Sharma, Melissa Mariscal, Walter N Kernan

Open access · greenAbstract read
In one paragraph

Article in American journal of hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Review
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

9 authors at 1 institution in 1 country.

Rachel FormanDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-5469-9887
Catherine M ViscoliDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Katherine MeurerDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Lauren H SansingDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Adam de HavenonDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Richa SharmaDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Melissa MariscalDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Walter N KernanDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Blood Pressure Variability and Ischemic Stroke Outcome (BP-VISO)R01NS130189 · NINDS · YALE UNIVERSITY · PI Adam H. de Havenon · 2023 to 2026
$2.0M
Treatment Targets for Inflamed Intracranial Atherosclerosis on Vessel Wall MRIK23NS105924 · NINDS · YALE UNIVERSITY · PI DE HAVENON, ADAM H. · 2019 to 2023
$988k
Classification of Stroke Etiology Using Advanced Computational ApproachesK23NS121634 · NINDS · YALE UNIVERSITY · PI Richa Sharma · 2022 to 2026
$951k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS K23 NS105924NINDS NIH HHS K23 NS121634NINDS NIH HHS R01 NS130189
6 · The paper itself

Abstract

backgroundIn individuals with hypertension (HTN), lowering blood pressure (BP) after a stroke can lower the risk of stroke recurrence, but many patients do not reach the goal. Home blood pressure monitoring (HBPM) can help patients get to the goal, but rates of use and quality of technique have not been evaluated.

methodsWe conducted a cross-sectional study of patients with stroke. Patients were eligible if they had a stroke within 2 years, had HTN, and lived at home. We classified patients as correctly performing HBPM if they used an arm cuff, sat ≥ 1 min before measurement, took ≥ 2 measurements, and use within 6 months. The primary outcome was the proportion of patients who had an HBPM and used it correctly, which we calculated according to race and ethnicity. We also asked patients what they would do if they found results outside the goal.

resultsAmong 150 participants, 120 (81%) possessed an HBPM and 29 (21%) used it correctly. We observed no significant disparity in rates of possession or correct use between non-Hispanic White participants and participants from underrepresented groups. Seventy percent of non-Hispanic White patients said they would contact their provider if their BP was above goal vs. 52% of underrepresented patients (P = 0.21).

conclusionsMost patients after stroke have an HBPM, but only about 1 in 5 use it correctly. Approximately half of the patients from underrepresented racial or ethnic groups do not have a plan for responding to the values above goal. Our results indicate opportunities to improve the dissemination and correct use of HBPM.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionBlood PressureCross-Sectional StudiesEthnicityHumansblood pressuredisparitieshome blood pressure monitoringhypertensionstroke

Identifiers

PMID36520024
PMCPMC10016067
OpenAlexW4311564606

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.