Evidence mapPaperPMID 30949872Full record

ReviewCurrent hypertension reports2019

Automated Office-Based Blood Pressure Measurement: an Overview and Guidance for Implementation in Primary Care.

Romsai T Boonyasai, Erika L McCannon, Joseph E Landavaso

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. The optimal use of automated office blood pressure measurement in clinical practice.Journal of clinical hypertension (Greenwich, Conn.) · 2020
    Review
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Romsai T BoonyasaiDivision of General Internal Medicine, John Hopkins University, Baltimore, MD, 21205, USA. romsai@jhmi.edu.
Erika L McCannonCenter for Health Equity, Johns Hopkins University, Baltimore, MD, 21205, USA.
Joseph E LandavasoCenter for Health Equity, Johns Hopkins University, Baltimore, MD, 21205, USA.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe purposes of this study are to review evidence supporting the use of automated office blood pressure (AOBP) measurement and to provide practical guidance for implementing it in clinical settings. RECENT

findingsMean AOBP readings correlate with awake ambulatory blood pressure monitor (ABPM) values and predict cardiovascular outcomes better than conventional techniques. However, heterogeneity among readings suggests that AOBP does not replace ABPM. Blood pressure (BP) measurement protocols differ among commonly described AOBP devices, but all produce valid BP estimates. Rest periods should not precede AOBP with BpTRU devices but should occur before use with Omron HEM-907 and Microlife WatchBP Office devices. Attended and unattended AOBP appear to produce similar results. This review also describes a framework to aid AOBP's implementation in clinical practice. Evidence supports AOBP as the preferred method for measuring BP in office settings, but this approach should be a complement to out-of-office measurements, such as self-measured BP monitoring or 24-h ABPM, not a substitute for it.

Indexed as

AutomationBlood Pressure DeterminationHumansHypertensionOffice VisitsPractice Guidelines as TopicPrimary Health CareAOBPAutomated office blood pressureBlood pressure measurementHypertensionImplementation sciencePrimary care

Identifiers

PMID30949872
OpenAlexW2927487693

What Socratic 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 Socratic graph.