Evidence map›Paper›PMID 33142006›Full record

ArticleClinical and translational science2021

Optimizing Precision of Hypertension Care to Maximize Blood Pressure Control: A Pilot Study Utilizing a Smartphone App to Incorporate Plasma Renin Activity Testing.

Mai Mehanna, Yiqing E Chen, Yan Gong, Eileen Handberg, Brittney Roth, Jessica De Leon, Steven M Smith, Jonathan G Harrell, Rhonda M Cooper-DeHoff

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Mai MehannaDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Yiqing E ChenDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Yan GongDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Eileen HandbergDepartment of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
Brittney RothDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Jessica De LeonDivision of Research & Graduate Programs, College of Medicine, Florida State University, Tallahassee, Florida, USA.
Steven M SmithDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Jonathan G HarrellDepartment of Community Health & Family Medicine, University of Florida, Gainesville, Florida, USA.
Rhonda M Cooper-DeHoffDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
American Association of Colleges of Pharmacy · USUniversity of Florida · USFlorida A&M University - Florida State University College of Engineering · USFlorida College · USUniversity of Florida Health · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Advancing Personalized Hypertension Care through Big Data ScienceK01HL138172 · NHLBI · UNIVERSITY OF FLORIDA · PI SMITH, STEVEN MICHAEL · 2018 to 2022
$726k
NCATS NIH HHS UL1 TR001427NHLBI NIH HHS K01 HL138172
6 · The paper itself

Abstract

Only half of patients with hypertension (HTN) respond to any given antihypertensive medication. Heterogeneity in pathophysiologic pathways underlying HTN is a major contributor. Personalizing antihypertensive therapy could improve blood pressure (BP) reduction. The objective of this study was to assess the effect of pragmatic implementation of a personalized plasma renin activity (PRA)-based smartphone app on improving BP reduction. Patients with untreated or treated but uncontrolled HTN were recruited. BP and PRA were measured at baseline with final BP measured at 6 months. Patient's information was entered into the app and treatment recommendations were returned. Clinicians were at liberty to follow or disregard the app's recommendations. BP levels and percent BP control among patients whose clinicians did and did not follow the app's recommendations were compared using independent t-test and Fisher's exact test, respectively. Twenty-nine European American patients were included (38% women) with mean age of 52 ± 9 years and median PRA of 1.3 ng/mL/hr (interquartile range 0.5-3.1 ng/mL/hr). Participants whose clinicians followed the app's recommendations (n = 16, 55%) as compared with those whose clinicians did not (n = 13, 45%), had a greater reduction in 6-month systolic BP (-15 ± 21 vs. -3 ± 21 mm Hg; adjusted-P = 0.1) and diastolic BP (-8 ± 8 vs. -1 ± 8 mm Hg; adjusted-P = 0.04). BP control at 6 months tended to be greater among patients whose clinicians accepted the app's recommendations vs. those whose clinicians did not (63% vs. 23%, P = 0.06). This pilot study demonstrates that acceptance of the app's recommendations was associated with a greater BP reduction. Future studies to confirm these pilot findings are warranted.

Indexed as

Decision Support Systems, ClinicalMobile ApplicationsAdultAntihypertensive AgentsBlood PressureBlood Pressure DeterminationDose-Response Relationship, DrugFemaleHumansHypertensionMaleMiddle AgedPilot ProjectsReninTreatment OutcomeAntihypertensive AgentsRenin

Identifiers

PMID33142006
PMCPMC7993275
OpenAlexW3096384308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.