Observational studyJournal of clinical hypertension (Greenwich, Conn.)2019
Measurement of arterial stiffness and vascular aging in community pharmacies-The ASINPHAR@2action project.
Observational study in Journal of clinical hypertension (Greenwich, Conn.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06761235 (Vascular Age As a Key for a Team-based Approach to Manage Blood Pressure Bridging Community Pharmacists and Primary Health Care Physicians - the TOGETHER Trial), which is not on this map. Cited by 4 papers.
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.
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.
Vascular Age As a Key for a Team-based Approach to Manage Blood Pressure Bridging Community Pharmacists and Primary Health Care Physicians - the TOGETHER Trial
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Patients with Higher Pulse Wave Velocity Are More Likely to Develop a More Severe Form of Knee Osteoarthritis: Implications for Cardiovascular Risk.Biomedicines · 2025Article
- Vascular age as a key for a team-based approach to manage blood pressure bridging community pharmacists and primary healthcare physicians-The TOGETHER trial.Frontiers in public health · 2025Article
- Assessing blood pressure and arterial aging in pharmacies-New hope for blood pressure control in the community?Journal of clinical hypertension (Greenwich, Conn.) · 2019Article
- Measurement of arterial stiffness and vascular aging in community pharmacies-The ASINPHAR@2action project.Journal of clinical hypertension (Greenwich, Conn.) · 2019Observational
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Authors and funding
10 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ASINPHAR@2action project aims at raising awareness to arterial stiffness (AS) and early vascular aging (EVA) through a community pharmacy-based intervention. This preliminary analysis is focused on the analysis of the proportion of participants with increased AS and the identification of its main determinants. We performed an observational cross-sectional study of participants enrolled in 11 community pharmacies in Portugal, between April and November 2017. Blood pressure (BP) and arterial function parameters were measured with a validated device. Clinical and demographic information was gathered, as well as the estimation of global cardiovascular risk, health-related quality of life, and dietary profile. Cholesterol and glycaemia were taken from a recent laboratory bulletin. The cohort includes 658 participants with a mean age of 57.3 ± 16.3 years, 66% women. Brachial BP was 126.6 ± 16.4 mm Hg and 79.9 ± 11.5 mm Hg, and central BP was 115.8 ± 15.4 mm Hg and 81.2 ± 11.6 mm Hg, respectively, for systolic and diastolic BP. Mean pulse wave velocity (PWV) was 8.5 ± 2.3 m/s, and the augmentation index was 23.6 ± 15.6%. The proportion of participants with increased AS was 19.8%. The overall best-fitting model for AS included age, gender, aortic PP, visceral fat, HDL cholesterol, AIx@75, total vascular resistance, hypertension, and diabetes, corresponding to an AUC of 0.910 (CI: 0.883, 0.937; P < 0.001) in the ROC curve analysis. The preliminary results of this pioneering large-scale study measuring arterial function in community pharmacies provide the grounds for the operationalization of subclinical target organ damage screening in pharmacies, as a strategy to improve cardiovascular risk monitoring and to promote adherence to treatment.
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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.