Evidence map›Paper›PMID 38150442›Full record

Trial reportPloS one2023

Comparison of devices used to measure blood pressure, grip strength and lung function: A randomised cross-over study.

Carli Lessof, Rachel Cooper, Andrew Wong, Rebecca Bendayan, Rishi Caleyachetty, Hayley Cheshire, Theodore Cosco, Ahmed Elhakeem, Anna L Hansell, Aradhna Kaushal and 8 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. 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

18 authors at 13 institutions in 2 countries.

Carli LessofNational Centre for Research Methods, University of Southampton, Southampton, United Kingdom.
Rachel CooperFaculty of Medical Sciences, Translational and Clinical Research Institute, AGE Research Group, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0003-3370-5720
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.ORCID 0000-0003-2079-4779
Rebecca BendayanDepartment of Biostatistics and Health Informatics of the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Rishi CaleyachettyOxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Hayley CheshireHayley Cheshire Research, Bournemouth, United Kingdom.
Theodore CoscoDepartment of Gerontology, Simon Fraser University, Vancouver, Canada and Oxford Institute of Population Ageing, University of Oxford, Oxford, United Kingdom.
Ahmed ElhakeemMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Anna L HansellCentre for Environmental Health and Sustainability, University of Leicester, United Kingdom.
Aradhna KaushalResearch Department of Behavioural Science and Health, UCL, London, United Kingdom.
Diana KuhMRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.
David MartinNational Centre for Research Methods, University of Southampton, Southampton, United Kingdom.
Cosetta MinelliNational Heart & Lung Institute, Imperial College London, United Kingdom.
Stella MuthuriMRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.
Maria PophamMRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.
Seif O ShaheenInstitute of Population Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Patrick SturgisDepartment of Methodology, London School of Economics, United Kingdom.
Rebecca HardySocial Research Institute, UCL, London, United Kingdom.ORCID 0000-0001-9949-0799
MRC Unit for Lifelong Health and Ageing · GBUniversity of Southampton · GBImperial College London · GBKing's College London · GBLondon School of Economics and Political Science · GBLoughborough University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBQueen Mary University of London · GBSimon Fraser University · CAThe Behaviouralist (United Kingdom) · GBUniversity of Bristol · GBUniversity of Leicester · GBUniversity of Warwick · GB

Funding

Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2Medical Research Council MC_UU_12019/4
6 · The paper itself

Abstract

backgroundBlood pressure, grip strength and lung function are frequently assessed in longitudinal population studies, but the measurement devices used differ between studies and within studies over time. We aimed to compare measurements ascertained from different commonly used devices.

methodsWe used a randomised cross-over study. Participants were 118 men and women aged 45-74 years whose blood pressure, grip strength and lung function were assessed using two sphygmomanometers (Omron 705-CP and Omron HEM-907), four handheld dynamometers (Jamar Hydraulic, Jamar Plus+ Digital, Nottingham Electronic and Smedley) and two spirometers (Micro Medical Plus turbine and ndd Easy on-PC ultrasonic flow-sensor) with multiple measurements taken on each device. Mean differences between pairs of devices were estimated along with limits of agreement from Bland-Altman plots. Sensitivity analyses were carried out using alternative exclusion criteria and summary measures, and using multilevel models to estimate mean differences.

resultsThe mean difference between sphygmomanometers was 3.9mmHg for systolic blood pressure (95% Confidence Interval (CI):2.5,5.2) and 1.4mmHg for diastolic blood pressure (95% CI:0.3,2.4), with the Omron HEM-907 measuring higher. For maximum grip strength, the mean difference when either one of the electronic dynamometers was compared with either the hydraulic or spring-gauge device was 4-5kg, with the electronic devices measuring higher. The differences were small when comparing the two electronic devices (difference = 0.3kg, 95% CI:-0.9,1.4), and when comparing the hydraulic and spring-gauge devices (difference = 0.2kg, 95% CI:-0.8,1.3). In all cases limits of agreement were wide. The mean difference in FEV1 between spirometers was close to zero (95% CI:-0.03,0.03), limits of agreement were reasonably narrow, but a difference of 0.47l was observed for FVC (95% CI:0.53,0.42), with the ndd Easy on-PC measuring higher.

conclusionOur study highlights potentially important differences in measurement of key functions when different devices are used. These differences need to be considered when interpreting results from modelling intra-individual changes in function and when carrying out cross-study comparisons, and sensitivity analyses using correction factors may be helpful.

Indexed as

Blood Pressure DeterminationHand StrengthBlood PressureCross-Over StudiesFemaleHumansLungMaleReproducibility of Results

Identifiers

PMID38150442
PMCPMC10752545
OpenAlexW4390264637

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.