Evidence map›Paper›PMID 28619766›Full record

ArticleBMJ open2017

Diagnostic performance of an automatic blood pressure measurement device, Microlife WatchBP Home A, for atrial fibrillation screening in a real-world primary care setting.

Pak-Hei Chan, Chun-Ka Wong, Louise Pun, Yu-Fai Wong, Michelle Man-Ying Wong, Daniel Wai-Sing Chu, Chung-Wah Siu

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.3field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  9. DoesMedicina (Kaunas, Lithuania) · 2022
    Article
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  18. New Technologies for Detection and Management of Atrial Fibrillation.Journal of the Saudi Heart Association · 2021
    Review
  19. Review
  20. [Cardiac rhythm monitoring : New tools on the horizon].Herzschrittmachertherapie & Elektrophysiologie · 2020
    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

7 authors at 2 institutions in 2 countries.

Pak-Hei ChanDivision of Cardiology, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Chun-Ka WongDivision of Cardiology, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Louise PunDepartment of Family Medicine and Primary Healthcare, Hong Kong East Cluster, Hong Kong SAR, China.
Yu-Fai WongDepartment of Family Medicine and Primary Healthcare, Hong Kong East Cluster, Hong Kong SAR, China.
Michelle Man-Ying WongDepartment of Family Medicine and Primary Healthcare, Hong Kong East Cluster, Hong Kong SAR, China.
Daniel Wai-Sing ChuDepartment of Family Medicine and Primary Healthcare, Hong Kong East Cluster, Hong Kong SAR, China.
Chung-Wah SiuDivision of Cardiology, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
University of Hong Kong · HKChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic performance of a UK National Institute for Health and Care Excellence-recommended automatic oscillometric blood pressure (BP) measurement device incorporated with an atrial fibrillation (AF) detection algorithm (Microlife WatchBP Home A) for real-world AF screening in a primary healthcare setting.

settingPrimary healthcare setting in Hong Kong.

interventionsThis was a prospective AF screening study carried out between 1 September 2014 and 14 January 2015. The Microlife device was evaluated for AF detection and compared with a reference standard of lead-I ECG. PRIMARY OUTCOME MEASURES: Diagnostic performance of Microlife for AF detection.

results5969 patients (mean age: 67.2±11.0 years; 53.9% female) were recruited. The mean CHA

conclusionsIn the primary care setting, Microlife WatchBP Home was an effective means to screen for AF, with a reasonable sensitivity of 80.6% and a high negative predictive value of 99.8%, in addition to its routine function of BP measurement. In a younger patient population aged <65 years with a lower prevalence of AF, Microlife WatchBP Home A demonstrated a similar diagnostic accuracy.

Indexed as

Primary Health CareAgedAtrial FibrillationBlood Pressure Monitoring, AmbulatoryDiabetes MellitusFemaleGuidelines as TopicHeart FailureHong KongHumansHypertensionIschemic Attack, TransientMalePredictive Value of TestsPrevalenceProspective StudiesAtrial fibrillationmicrolifescreening

Identifiers

PMID28619766
PMCPMC5577883
OpenAlexW2625603853

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.