Evidence map›Paper›PMID 35279699›Full record

ReviewJournal of human hypertension2023

Global proliferation and clinical consequences of non-validated automated BP devices.

Paul K Whelton, Dean S Picone, Raj Padwal, Norm R C Campbell, Paul Drawz, Michael K Rakotz, Gianfranco Parati, Xin-Hua Zhang, James E Sharman

Open access · greenAbstract readReview
In one paragraph

Review in Journal of human hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Digital hypertension - what we need for the high-quality management of hypertension in the new era.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Review
  5. Current status of the use of validated home blood pressure monitoring devices among Korean patients with hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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 8 institutions in 5 countries.

Paul K WheltonDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA. pkwhelton@gmail.com.ORCID 0000-0002-2225-383X
Dean S PiconeMenzies institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0002-4760-1634
Raj PadwalDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0003-3541-2817
Norm R C CampbellDepartment of Medicine, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-1093-4742
Paul DrawzDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Michael K RakotzAmerican Medical Association, Chicago, IL, USA.
Gianfranco ParatiDepartment of Medicine and Surgery, University of Milano-Bicocca, and Istituto Auxologico Italiano, IRCCS, Milan, Italy.
Xin-Hua ZhangBeijing Hypertension League Institute, Beijing, China.
James E SharmanMenzies institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0003-2792-0811
University of Tasmania · AUAmerican Medical Association · USIRCCS Istituto Auxologico Italiano · ITShanghai Institute of Hypertension · CNTulane University · USUniversity of Alberta · CAUniversity of Calgary · CAUniversity of Minnesota · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
ZENARESTAT IN DIABETIC NEUROPATHYM01RR005096 · NCRR · TULANE UNIVERSITY OF LOUISIANA · PI WOLTERING, EUGENE A · 1990 to 2006
$17.4M
NCRR NIH HHS M01 RR005096NIGMS NIH HHS P20 GM109036NIGMS NIH HHS P20GM109036
6 · The paper itself

Abstract

Professional societies, guideline writing committees, and other interested parties emphasize the importance of accurate measurement of blood pressure for clinical and public health decisions related to prevention, treatment, and follow-up of high blood pressure. Use of a clinically validated instrument to measure blood pressure is a central component of measurement accuracy and precision. Despite this, most regulatory authorities do not specify validation requirements that manufacturers must meet to sell their blood pressure measurement devices. Likewise, device validity is not a major area of focus for most consumers and healthcare providers, perhaps because they assume it is a pre-requisite for market approval. This has led to a global proliferation of non-validated blood pressure measurement devices, with only a small minority of blood pressure measurement devices having passed internationally accepted validation protocols. The clinical consequences are likely to be significant because non-validated devices are more likely to provide inaccurate estimates of blood pressure compared with validated devices. Even small inaccuracies in blood pressure measurement can result in substantial misdiagnosis and mistreatment of hypertension. There is an urgent need for clinical validation of blood pressure measurement devices prior to marketing them to consumers. There is also need for simplification of the process for consumers and healthcare providers to determine whether a blood pressure measurement device has successfully met an internationally accepted test of validity.

Indexed as

Blood Pressure DeterminationHypertensionBlood PressureHumansReproducibility of ResultsSphygmomanometers

Identifiers

PMID35279699
PMCPMC11217746
OpenAlexW4220703557

What OpenQuestion holds

Textmetadata
LicenceTDM
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.