Evidence map›Paper›PMID 30631126›Full record

SynthesisJournal of human hypertension2019

Accuracy of automated blood pressure measurements in the presence of atrial fibrillation: systematic review and meta-analysis.

Christopher E Clark, Sinead T J McDonagh, Richard J McManus

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of human hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Review
  5. Blood pressure and in-hospital outcomes in patients hospitalized with atrial fibrillation: findings from the CCC-AF project.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  6. Article
  7. Review
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  9. Article
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  11. Article
  12. Searching for atrial fibrillation: looking harder, looking longer, and in increasingly sophisticated ways. An EHRA position paper.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
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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

3 authors at 2 institutions in 1 country.

Christopher E ClarkPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, College of Medicine and Health, Smeall Building, St. Luke's Campus, Magdalen Rd, EX1 2LU, Exeter, Devon, England. c.e.clark@exeter.ac.uk.ORCID http://orcid.org/0000-0002-7526-3038
Sinead T J McDonaghPrimary Care Research Group, Institute of Health Services Research, University of Exeter Medical School, College of Medicine and Health, Smeall Building, St. Luke's Campus, Magdalen Rd, EX1 2LU, Exeter, Devon, England.
Richard J McManusNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, OX2 6GG, Oxford, England.
University of Exeter · GBUniversity of Oxford · GB

Funding

Department of Health NIHR-RP-02-12-015
6 · The paper itself

Abstract

Atrial fibrillation (AF) affects ~3% of the general population and is twice as common with hypertension. Validation protocols for automated sphygmomanometers exclude people with AF, raising concerns over accuracy of hypertension diagnosis or management, using out-of-office blood pressure (BP) monitoring, in the presence of AF. Some devices include algorithms to detect AF; a feature open to misinterpretation as offering accurate BP measurement with AF. We undertook this review to explore accuracy of automated devices, with or without AF detection, for measuring BP. We searched Medline and Embase to October 2018 for studies comparing automated BP measurement devices to a standard mercury sphygmomanometer contemporaneously. Data were extracted by two reviewers. Mean BP differences between devices and mercury were calculated, where not reported and compared; meta-analyses were undertaken where possible. We included 13 studies reporting 14 devices. Mean systolic and diastolic BP differences from mercury ranged from -3.1 to + 6.1/-4.6 to +9.0 mmHg. Considerable heterogeneity existed between devices (I

Indexed as

Blood PressureAgedAged, 80 and overAtrial FibrillationAutomationBlood Pressure DeterminationEquipment DesignFemaleHumansHypertensionMaleMiddle AgedOscillometryPredictive Value of TestsReproducibility of ResultsSphygmomanometers

Identifiers

PMID30631126
OpenAlexW2910930524

What OpenQuestion holds

Textmetadata
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.