Evidence map›Paper›PMID 30063641›Full record

ArticleJournal of hypertension2018

Characteristics of healthy vascular ageing in pooled population-based cohort studies: the global Metabolic syndrome and Artery REsearch Consortium.

Peter M Nilsson, Stephane Laurent, Pedro G Cunha, Michael H Olsen, Ernst Rietzschel, Oscar H Franco, Ligita Ryliškytė, Irina Strazhesko, Charalambos Vlachopoulos, Chen-Huan Chen and 5 more

Abstract read
In one paragraph

Article in Journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Characteristics and Determinants of Pulse Wave Velocity in Super Normal Vascular Aging (SUPERNOVA) Patients.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    Article
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

15 authors.

Peter M NilssonDepartment of Clinical Sciences, Lund University, University Hospital, Malmö, Sweden.
Stephane LaurentDepartment of Pharmacology, Pompidou Hospital, INSERM U970 and University Paris Descartes, Paris, France.
Pedro G CunhaCenter for the Research and Treatment of Arterial Hypertension and Cardiovascular Risk, Serviço de Medicina Interna do Hospital da Senhora da Oliveira, Guimarães.
Michael H OlsenCentre for Individualized Medicine in Arterial Diseases, Odense University Hospital, Odense, Denmark.
Ernst RietzschelDepartment of Cardiovascular Diseases, Ghent University Hospital and Ghent University, Ghent, Belgium.
Oscar H FrancoDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Ligita RyliškytėCentre of Cardiology and Angiology, Vilnius University Hospital SantariškiųKlinikos, Vilnius, Lithuania.
Irina StrazheskoDepartment of Aging and Age-associated Diseases Prevention, National Research Center for Preventive Medicine, Moscow, Russian Federation.
Charalambos Vlachopoulos1st Department of Cardiology, Athens Medical School, Athens, Greece.
Chen-Huan ChenDepartment of Public Health and Cardiovascular Research Center, National Yang-Ming University, Taipei, Taiwan.
Pierre BoutouyrieDepartment of Pharmacology, Pompidou Hospital, INSERM U970 and University Paris Descartes, Paris, France.
Francesco CuccaInstitute of Genetics and Biomedic Research (IRGB), Consiglio Nazionale delle Ricerche, Monserrato, Cagliari, Italy.
Edward G LakattaLaboratory Cardiovascular Sciences, Intramural Research Programme, National Institute on Aging (NIA), NIH, Baltimore, USA.
Angelo ScuteriSan Raffaele Pisana IRCCS, Rome, Italy.
Metabolic syndrome, Arteries REsearch (MARE) Consortium

Funding

GENETICS & EPIDEMIOLOGY OF AGAING - ASSOCIATED CONDITIONS IN THE SARDINIAN POPULN01AG12109 · NIA · CONSIGLIO NAZIONALE DELLE RICERCHE · PI UDA, MANUELA · 2007 to 2011
$7.8M
Intramural NIH HHS Z99 AG999999NIA NIH HHS N01AG12109
6 · The paper itself

Abstract

objectiveArterial ageing is characterized by increasing arterial stiffness as measured by pulse wave velocity (PWV). This process is enhanced in participants with early vascular ageing (EVA), but slowed in participants with healthy vascular ageing (HVA). We aimed to describe characteristics of EVA and HVA in a transcontinental study including 11 cohorts.

methodsIn all, 18 490 participants from the global MARE Consortium, free of cardiovascular disease, participated with data on PWV and cardiometabolic risk factors. We defined HVA as the lowest 10% and EVA as the highest 10% of the standardized PWV distribution, adjusted for age intervals. HVA individuals were compared with the 90% of non-HVA individuals with ANCOVA, adjusted for age, sex and hypertension.

resultsThe 1723 HVA participants were at the same age as the rest of the population, more likely women (59.4 vs 57.0%), and with significantly lower levels of established cardiovascular risk factors (blood pressure, lipids, glucose). Similarly, the prevalence rate of obesity, diabetes mellitus, hypertension and the metabolic syndrome was lower in the HVA participants. In the presence of similar levels of cardiovascular risk factors, HVA participants in the 50-64 years of age group presented lower PWV 5.8 (SD 0.5) vs. 7.4 (1.4) m/s (P < 0.0001) than control individuals in the 35-49 years of age group, corresponding to an estimated difference in chronological age of 14 years.

conclusionParticipants with healthy vascular ageing (HVA), belonging to the lowest end of the PWV distribution, are in general characterized by an up to 14 years estimated younger biological (vascular) age than those with higher PWV values, and have lower levels of risk factors.

Indexed as

Vascular StiffnessAdolescentAdultAgedAge FactorsAgingBlood PressureBlood Pressure DeterminationChildCohort StudiesDiabetes MellitusFemaleHumansHypertensionMaleMetabolic Syndrome

Identifiers

PMID30063641
PMCPMC6528679

What OpenQuestion holds

Textmetadata
LicenceTDM
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.