Evidence map›Paper›PMID 39152256›Full record

Observational studyHypertension research : official journal of the Japanese Society of Hypertension2024

Absolute cardiovascular risk assessment using 'real world' clinic blood pressures compared to standardized unobserved and ambulatory methods: an observational study.

Niamh Chapman, Senali Jayasinghe, Myles N Moore, Dean S Picone, Martin G Schultz, Matthew D Jose, Roland W McCallum, Matthew K Armstrong, Xiaoqing Peng, Thomas H Marwick and 5 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Hypertension research : official journal of the Japanese Society of Hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. How useful is a casual BP measurement?Clinical medicine (London, England) · 2026
    Review
  3. Current hypertension epidemiology and contemporary approaches using the "Real-World Evidence Cycle" framework.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Niamh ChapmanMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia. Niamh.Chapman@Sydney.edu.au.
Senali JayasingheMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Myles N MooreMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Dean S PiconeMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Martin G SchultzMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Matthew D JoseRenal Unit, Royal Hobart Hospital, Hobart, TAS, Australia.
Roland W McCallumMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Matthew K ArmstrongMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Xiaoqing PengDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Anhui Medical University, Anhui, China.
Thomas H MarwickMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Philip Roberts-ThomsonRoyal Hobart Hospital, Hobart, TAS, Australia.
Nathan B DwyerRoyal Hobart Hospital, Hobart, TAS, Australia.
J Andrew BlackRoyal Hobart Hospital, Hobart, TAS, Australia.
Mark R NelsonMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
James E SharmanMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinic blood pressure (BP) is recommended for absolute cardiovascular disease (CVD) risk assessment. However, in 'real-world' settings, clinic BP measurement is unstandardised and less reliable compared to more rigorous methods but the impact for absolute CVD risk assessment is unknown. This study aimed to determine the difference in absolute CVD risk assessment using real-world clinic BP compared to standardised BP methods. Participants were patients (n = 226, 59 ± 15 years; 58% female) with hypertension referred to a BP clinic for assessment. 'Real-world' clinic BP was provided by the referring doctor. All participants had unobserved automated office BP (AOBP) and 24-h ambulatory BP monitoring (ABPM) measured at the clinic. Absolute CVD risk was calculated (Framingham) using systolic BP from the referring doctor (clinic BP), AOBP and ABPM, with agreement assessed by Kappa statistic. Clinic systolic BP was 18 mmHg than AOBP and daytime ABPM and 22 mmHg higher than 24-h ABPM (p < 0.001). Subsequently, absolute CVD risk scores using clinic BP were higher compared to AOBP, daytime ABPM and 24-h ABPM (10.4 ± 8.1%, 7.8 ± 6.4%, 7.8 ± 6.3%, and 7.3 ± 6.1%, respectively, P < 0.001). As a result, more participants were classified as high CVD risk using clinic BP (n = 89, 40%) compared with AOBP (n = 44, 20%) daytime ABPM (n = 38, 17%) and 24-h ABPM (n = 38, 17%) (p < 0.001) with weak agreement in risk classification (κ = 0.57[0.45-0.69], κ = 0.52[0.41-0.64] and κ = 0.55[0.43-0.66], respectively). Real-world clinic BP was higher and classified twice as many participants at high CVD risk compared to AOBP or ABPM. Given the challenges to high-quality BP measurement in clinic, more rigorous BP measurement methods are needed for absolute CVD risk assessment.

Indexed as

Blood PressureBlood Pressure Monitoring, AmbulatoryCardiovascular DiseasesHypertensionAdultAgedBlood Pressure DeterminationFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRisk AssessmentCholesterolMass screeningTelemedicine

Identifiers

PMID39152256
PMCPMC11456502

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.