Evidence map›Paper›PMID 35137521›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

Potential impact of systematic and random errors in blood pressure measurement on the prevalence of high office blood pressure in the United States.

Swati Sakhuja, Byron C Jaeger, Oluwasegun P Akinyelure, Adam P Bress, Daichi Shimbo, Joseph E Schwartz, Shakia T Hardy, George Howard, Paul Drawz, Paul Muntner

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  15. HEARTS in the Americas: innovations for improving hypertension and cardiovascular disease risk management in primary care.Revista panamericana de salud publica = Pan American journal of public health · 2022
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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

10 authors at 4 institutions in 1 country.

Swati SakhujaDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-3865-9607
Byron C JaegerDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Oluwasegun P AkinyelureDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Adam P BressDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-2259-5039
Daichi ShimboDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Joseph E SchwartzDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-8944-3566
Shakia T HardyDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
George HowardDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Paul DrawzDivision of Nephrology and Hypertension, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-7301-9253
Paul MuntnerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-4711-5492
University of Alabama at Birmingham · USColumbia University Irving Medical Center · USUniversity of Minnesota · USUniversity of Utah · US

Funding

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
Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
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
Midcareer Investigator Award in Patient-Oriented Research in Human HypertensionK24HL125704 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2015 to 2019
$573k
American Heart Association-American Stroke Association 15SFRN2390002NHLBI NIH HHS K01 HL133468NHLBI NIH HHS K24 HL125704NHLBI NIH HHS R01 HL139716NHLBI NIH HHS R01 HL139837NHLBI NIH HHS R01 HL144773NHLBI NIH HHS R01HL144773NIA NIH HHS R01 AG065805NIH HHS K24HL125704NIH HHS R01HL139716
6 · The paper itself

Abstract

The authors examined the proportion of US adults that would have their high blood pressure (BP) status changed if systolic BP (SBP) and diastolic BP (DBP) were measured with systematic bias and/or random error versus following a standardized protocol. Data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES; n = 5176) were analyzed. BP was measured up to three times using a mercury sphygmomanometer by a trained physician following a standardized protocol and averaged. High BP was defined as SBP ≥130 mm Hg or DBP ≥80 mm Hg. Among US adults not taking antihypertensive medication, 32.0% (95%CI: 29.6%,34.4%) had high BP. If SBP and DBP were measured with systematic bias, 5 mm Hg for SBP and 3.5 mm Hg for DBP higher and lower than in NHANES, the proportion with high BP was estimated to be 44.4% (95%CI: 42.6%,46.2%) and 21.9% (95%CI 19.5%,24.4%). Among US adults taking antihypertensive medication, 60.6% (95%CI: 57.2%,63.9%) had high BP. If SBP and DBP were measured 5 and 3.5 mm Hg higher and lower than in NHANES, the proportion with high BP was estimated to be 71.8% (95%CI: 68.3%,75.0%) and 48.4% (95%CI: 44.6%,52.2%), respectively. If BP was measured with random error, with standard deviations of 15 mm Hg for SBP and 7 mm Hg for DBP, 21.4% (95%CI: 19.8%,23.0%) of US adults not taking antihypertensive medication and 20.5% (95%CI: 17.7%,23.3%) taking antihypertensive medication had their high BP status re-categorized. In conclusions, measuring BP with systematic or random errors may result in the misclassification of high BP for a substantial proportion of US adults.

Indexed as

HypertensionAdultAntihypertensive AgentsBlood PressureHumansNutrition SurveysPrevalenceUnited StatesAntihypertensive Agentsblood pressuremeasurement errormisclassificationrandom error

Identifiers

PMID35137521
PMCPMC8925005
OpenAlexW4210900225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.