Evidence map›Paper›PMID 35637256›Full record

ReviewJournal of human hypertension2023

Automated 'oscillometric' blood pressure measuring devices: how they work and what they measure.

James E Sharman, Isabella Tan, George S Stergiou, Carolina Lombardi, Francesca Saladini, Mark Butlin, Raj Padwal, Kei Asayama, Alberto Avolio, Tammy M Brady and 2 more

Open access · hybridAbstract 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.7field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Article
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  8. Article
  9. Appropriate cuff size for blood pressure measurement: a target not yet achieved in clinical practice?Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Challenges and pitfalls of cuff oscillometric blood pressure measurement.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  20. Dyslipidemia and cerebral atrophy among health check-up individuals: A cross-sectional study.International journal of cardiology. Cardiovascular risk and prevention · 2025
    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

12 authors at 9 institutions in 8 countries.

James E SharmanMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia. James.Sharman@utas.edu.au.ORCID 0000-0003-2792-0811
Isabella TanFaculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0003-3123-6190
George S StergiouHypertension Center STRIDE-7, Third Department of Medicine, School of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.ORCID 0000-0002-6132-0038
Carolina LombardiIstituto Auxologico Italiano, IRCCS, Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Milan, Italy.
Francesca SaladiniCardiology Unit, Cittadella Town Hopsital, Padova, Italy.ORCID 0000-0003-1846-4738
Mark ButlinFaculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0002-2746-4222
Raj PadwalDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0003-3541-2817
Kei AsayamaDepartment of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan.ORCID 0000-0003-3365-0547
Alberto AvolioFaculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0002-8311-2010
Tammy M BradyDivision of Pediatric Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-1315-6747
Alan MurrayFaculty of Medical Sciences, School of Engineering, and Cardiovascular Physics, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-2621-4632
Gianfranco ParatiIstituto Auxologico Italiano, IRCCS, Sleep Disorders Center & Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Milan, Italy.ORCID 0000-0001-9402-7439
IRCCS Istituto Auxologico Italiano · ITMacquarie University · AUJohns Hopkins University · USNational and Kapodistrian University of Athens · GRNewcastle University · GBTeikyo University · JPThe George Institute for Global Health · AUUniversity of Alberta · CAUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated 'oscillometric' blood pressure (BP) measuring devices (BPMDs) were developed in the 1970s to replace manual auscultatory BP measurement by mercury sphygmomanometer. Automated BPMDs that have passed accuracy testing versus a reference auscultatory sphygmomanometer using a scientifically accepted validation protocol are recommended for clinical use globally. Currently, there are many thousands of unique automated BPMDs manufactured by hundreds of companies, with each device using proprietary algorithms to estimate BP and using a method of operation that is largely unchanged since inception. Validated automated BPMDs provide similar BP values to those recorded using manual auscultation albeit with potential sources of error mostly associated with using empirical algorithms to derive BP from waveform pulsations. Much of the work to derive contemporary BP thresholds and treatment targets used to manage cardiovascular disease risk was obtained using automated BPMDs. While there is room for future refinement to improve accuracy for better individual risk stratification, validated BPMDs remain the recommended standard for office and out-of-office BP measurement to be used in hypertension diagnosis and management worldwide.

Indexed as

Blood Pressure DeterminationHypertensionBlood PressureHumansOscillometrySphygmomanometers

Identifiers

PMID35637256
PMCPMC9957730
OpenAlexW4281710849

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.