Evidence map›Paper›PMID 34505630›Full record

SynthesisAmerican journal of hypertension2022

The International Database of Central Arterial Properties for Risk Stratification: Research Objectives and Baseline Characteristics of Participants.

Lucas S Aparicio, Qi-Fang Huang, Jesus D Melgarejo, Dong-Mei Wei, Lutgarde Thijs, Fang-Fei Wei, Natasza Gilis-Malinowska, Chang-Sheng Sheng, José Boggia, Teemu J Niiranen and 20 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in American journal of hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. [Research progress in central aortic pressure estimation algorithms].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  5. Article
  6. Age and Sex Differences in the Contribution of Mean Arterial Pressure to Pulse Pressure Before Middle Age.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
  7. Central hypertension is a non-negligible cardiovascular risk factor.Journal of clinical hypertension (Greenwich, Conn.) · 2022
    Review
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

30 authors.

Lucas S AparicioServicio de Clínica Médica, Sección Hipertensión Arterial, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0002-8704-7287
Qi-Fang HuangCenter for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-9780-4237
Jesus D MelgarejoResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0002-1382-1153
Dong-Mei WeiResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0001-7010-468X
Lutgarde ThijsResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0002-8108-2356
Fang-Fei WeiResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0002-9135-1660
Natasza Gilis-MalinowskaHypertension Unit, Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland.ORCID 0000-0002-6633-202X
Chang-Sheng ShengCenter for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0003-2685-0663
José BoggiaCentro de Nefrología and Departamento de Fisiopatología, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-1564-8534
Teemu J NiiranenDepartment of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland.ORCID 0000-0002-7394-7487
Augustine N OdiliDepartment of Internal Medicine, Faculty of Clinical Sciences, College of Health Sciences, University of Abuja, Abuja, Nigeria.ORCID 0000-0002-4564-1587
Katarzyna Stolarz-SkrzypekFirst Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland.ORCID 0000-0002-7057-7302
Jessica BarochinerServicio de Clínica Médica, Sección Hipertensión Arterial, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0002-2176-9762
Daniel AckermannClinic for Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0003-0550-354X
Kalina Kawecka-JaszczFirst Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland.ORCID 0000-0002-8660-2867
Valérie TikhonoffDepartment of Medicine, University of Padua, Padua, Italy.ORCID 0000-0001-7846-0101
Zhen-Yu ZhangResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0002-3785-7417
Edoardo CasigliaDepartment of Medicine, University of Padua, Padua, Italy.ORCID 0000-0002-0003-3289
Krzysztof NarkiewiczHypertension Unit, Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland.ORCID 0000-0001-5949-5018
Jan FilipovskýFaculty of Medicine, Charles University, Pilsen, Czech Republic.ORCID 0000-0002-1535-1263
Aletta E SchutteHypertension in Africa Research Team (HART), South African Medical Research Council and Unit of Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.ORCID 0000-0001-9217-4937
Wen-Yi YangResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0003-1279-0866
Antti M JulaDepartment of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland.
Angela J WoodiwissCardiovascular Pathophysiology and Genomics Research Unit, Schools of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-2555-4125
Murielle BochudInstitute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-5727-0218
Gavin R NortonCardiovascular Pathophysiology and Genomics Research Unit, Schools of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-6416-6104
Ji-Guang WangCenter for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0001-8511-1524
Yan LiCenter for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-5825-5968
Jan A StaessenResearch Institute Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.ORCID 0000-0002-3026-1637
International Database of Central Arterial Properties for Risk Stratification (IDCARS) Investigators

Funding

Medical Research Council MC_PC_16095
6 · The paper itself

Abstract

objectiveTo address to what extent central hemodynamic measurements, improve risk stratification, and determine outcome-based diagnostic thresholds, we constructed the International Database of Central Arterial Properties for Risk Stratification (IDCARS), allowing a participant-level meta-analysis. The purpose of this article was to describe the characteristics of IDCARS participants and to highlight research perspectives.

methodsLongitudinal or cross-sectional cohort studies with central blood pressure measured with the SphygmoCor devices and software were included.

resultsThe database included 10,930 subjects (54.8% women; median age 46.0 years) from 13 studies in Europe, Africa, Asia, and South America. The prevalence of office hypertension was 4,446 (40.1%), of which 2,713 (61.0%) were treated, and of diabetes mellitus was 629 (5.8%). The peripheral and central systolic/diastolic blood pressure averaged 129.5/78.7 mm Hg and 118.2/79.7 mm Hg, respectively. Mean aortic pulse wave velocity was 7.3 m per seconds. Among 6,871 participants enrolled in 9 longitudinal studies, the median follow-up was 4.2 years (5th-95th percentile interval, 1.3-12.2 years). During 38,957 person-years of follow-up, 339 participants experienced a composite cardiovascular event and 212 died, 67 of cardiovascular disease.

conclusionsIDCARS will provide a unique opportunity to investigate hypotheses on central hemodynamic measurements that could not reliably be studied in individual studies. The results of these analyses might inform guidelines and be of help to clinicians involved in the management of patients with suspected or established hypertension.

Indexed as

Cardiovascular DiseasesHypertensionBlood PressureCross-Sectional StudiesFemaleHumansMaleMiddle AgedPulse Wave Analysisblood pressurecardiovascular outcomecentral blood pressurehemodynamicshypertensionpulse wave analysispulse wave velocity

Identifiers

PMID34505630
PMCPMC8730480

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.