Evidence map›Paper›PMID 38997668›Full record

ArticleBMC public health2024

Prevalence of interarm blood pressure difference is notably higher in women; the Viborg population-based screening program (VISP).

Marie Dahl, Jesper Winkler Andersen, Jes Lindholt, Nikolaj Thure Krarup, Britt Borregaard, Nikolai Uberg, Annette Høgh

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03395509 (Intersectional Screening Program for Diabetes and Cardiovascular Diseases Among 67-years Old Citizens of the Municipal of Viborg), which is not on this 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

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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.

NCT03395509 enrolling by invitationnot on this map

Intersectional Screening Program for Diabetes and Cardiovascular Diseases Among 67-years Old Citizens of the Municipal of Viborg

TypeobservationalSponsorCentral Jutland Regional HospitalRan2014 to 2029Enrolled4,500ConditionsAging, Aortic Aneurysm, Abdominal, Hypertension, Mass Screening
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Measuring blood pressure accurately.Australian prescriber · 2026
    Review
  3. 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

7 authors.

Marie DahlVascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark. marie.dahl@rm.dk.ORCID 0000-0003-3814-1709
Jesper Winkler AndersenVascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark.ORCID 0000-0003-2140-5464
Jes LindholtVascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark.ORCID 0000-0001-9536-4488
Nikolaj Thure KrarupDepartment of Cardiology, Viborg Regional Hospital, Heibergs Alle 5A, Viborg, 8800, Denmark.ORCID 0000-0001-6526-8663
Britt BorregaardDepartment of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital, JB Winsløwsvej 4, Odense, 5000, Denmark.ORCID 0000-0003-2702-0231
Nikolai UbergVascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark.
Annette HøghVascular Research Unit, Department of Surgery, Viborg Regional Hospital, Toldbodgade 12, Viborg, 8800, Denmark.ORCID 0000-0001-7525-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBilateral blood pressure (BP) measurement is important in cardiovascular prevention for identifying systolic interarm BP difference (IAD) and hypertension. We investigated sex-stratified IAD prevalence and its associations and coexistence with screen-detected peripheral atherosclerosis and hypertension. Furthermore, we determined the proportion misclassified as non-hypertensive when using the lower versus the higher reading arm.

methodsThis sub-study formed part of the Viborg Screening Program (VISP), a cross-sectorial population-based cardiovascular screening programme targeting 67-year-old Danes. VISP includes screening for peripheral atherosclerosis (lower extremity arterial disease and carotid plaque), abdominal aortic aneurysm, hypertension, diabetes mellitus, and cardiac disease. Self-reported comorbidities, risk factors, and medication use were also collected. Among 4,602 attendees, 4,517 (82.1%) had eligible bilateral and repeated BP measurements. IAD was defined as a systolic BP difference ≥ 10 mmHg. IAD-associated factors (screening results and risk factors) were estimated by logistic regression; proportional coexistence was displayed by Venn diagrams (screening results).

resultsWe included 2,220 women (49.2%) and 2,297 men (50.8%). IAD was more predominant in women (26.8%) than men (21.0%) (p < 0.001). This disparity persisted after adjustment [odds ratio (OR) 1.53; 95% confidence interval (CI) 1.32-1.77]. No other association was recorded with the conditions screened for, barring potential hypertension: BP 140-159/90-99 mmHg (OR 1.68, 95% CI 1.44-1.97) and BP ≥ 160/100 mmHg (OR 1.82, 95% CI 1.49-2.23). Overall, IAD and BP ≥ 160/100 mmHg coexistence was 4% in women and 5% in men; for BP ≥ 140/90 mmHg, 13% and 14%, respectively. Among those recording a mean BP ≥ 140/90 mmHg in the higher reading arm, 14.5% of women and 15.3% of men would be misclassified as non-hypertensive compared with the lowest reading arm.

conclusionFemale sex was an independent factor of IAD prevalence but not associated with other arterial lesions. Approximately 15% needed reclassification according to BP ≥ 140/90 mmHg when the lower rather than the higher reading arm was used; verifying bilateral BP measurements improved detection of potential hypertension. In future, the predictive value of sex-stratified IAD should be assessed for cardiovascular events and death to verify its potential as a screening tool in population-based cardiovascular screening. TRIAL REGISTRATION FOR VISP: NCT03395509:10/12/2018.

Indexed as

Blood Pressure DeterminationHypertensionAgedArmBlood PressureFemaleHumansMaleMass ScreeningPeripheral Arterial DiseasePrevalenceRisk FactorsSex FactorsCardiovascular diseaseCardiovascular risk assessmentInterarm measurementSexSystolic blood pressure difference

Identifiers

PMID38997668
PMCPMC11245839

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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 OpenQuestion graph.