Evidence map›Paper›PMID 28100183›Full record

Observational studyBMC cardiovascular disorders2017

Short-term blood pressure variability - variation between arm side, body position and successive measurements: a population-based cohort study.

Maria Elena Lacruz, Alexander Kluttig, Oliver Kuss, Daniel Tiller, Daniel Medenwald, Sebastian Nuding, Karin Halina Greiser, Stefan Frantz, Johannes Haerting

Registry-linked trialAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05446103 (The Acute Effect of Upper Limb Low Load Blood Flow Restriction Training), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

NCT05446103 naunknown statusnot on this mapstarted 2022, after this paper: background citation

The Acute Effect of Upper Limb Low Load Blood Flow Restriction Training (BFRT) on Hypoalgesia. A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of West AtticaRan2022 to 2022Enrolled40ConditionsHealthyArmsBlood flow restriction training, Sham Blood flow restriction training
3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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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

9 authors.

Maria Elena LacruzInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle Saale, Germany. elena.lacruz@uk-halle.de.
Alexander KluttigInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle Saale, Germany.
Oliver KussCentre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Daniel TillerInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle Saale, Germany.
Daniel MedenwaldInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle Saale, Germany.
Sebastian NudingDepartment of Medicine III, Martin-Luther University Halle-Wittenberg, Halle Saale, Germany.
Karin Halina GreiserGerman Cancer Research Centre, Division of Cancer Epidemiology, Heidelberg, Germany.
Stefan FrantzDepartment of Medicine III, Martin-Luther University Halle-Wittenberg, Halle Saale, Germany.
Johannes HaertingInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther University Halle-Wittenberg, Magdeburger Str. 8, 06112, Halle Saale, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise blood pressure (BP) measurements are central for the diagnosis of hypertension in clinical and epidemiological studies. The purpose of this study was to quantify the variability in BP associated with arm side, body position, and successive measurements in the setting of a population-based observational study. Additionally, we aimed to evaluate the influence of different measurement conditions on prevalence of hypertension.

methodsThe sample included 967 men and 812 women aged 45 to 83 years at baseline. BP was measured according to a standardized protocol with oscillometric devices including three sitting measurements at left arm, one simultaneous supine measurement at both arms, and four supine measurements at the arm with the higher BP. Hypertension was defined as systolic BP (SBP) ≥140 mmHg and/or diastolic BP (DBP) ≥90 mmHg. Variability in SBP and DBP were analysed with sex-stratified linear covariance pattern models.

resultsWe found that overall, no mean BP differences were measured according to arm-side, but substantial higher DBP and for men also higher SBP was observed in sitting than in supine position and there was a clear BP decline by consecutive measurement. Accordingly, the prevalence of hypertension depends strongly on the number and scheme of BP measurements taken to calculate the index values.

conclusionsThus, BP measurements should only be compared between studies applying equal measurement conditions and index calculation. Moreover, the first BP measurement should not be used to define hypertension since it overestimates BP. The mean of second and third measurement offers the advantage of better reproducibility over single measurements.

Indexed as

Blood PressurePatient PositioningSupine PositionAgedAged, 80 and overBlood Pressure DeterminationFemaleGermanyHumansHypertensionLinear ModelsMaleMiddle AgedPredictive Value of TestsPrevalenceReproducibility of Results(3–5) arm-sideBlood pressure variabilityBody positionHypertensionSuccessive measurements

Identifiers

PMID28100183
PMCPMC5241970

What Socratic holds

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Registered trials

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.