Synthesis in Hypertension (Dallas, Tex. : 1979), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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
4 citing papers in PubMed, 7 citations in OpenAlex.
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
19 authors at 10 institutions in 7 countries.
Gavin R Norton *Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa (G.R.N., A.J.W.).ORCID 0000-0001-6416-6104
De-Wei An *Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (D.-W.A., Y.L.).ORCID 0000-0002-1395-7050
Lucas S AparicioServicio de Clínica Médica, Sección Hipertensión Arterial, Hospital Italiano de Buenos Aires, Argentina (L.S.A.).ORCID 0000-0002-8704-7287
Yu-Ling YuNon-Profit Research Association Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium (D.-W.A, Y.-L.Y., K.S.-S., J.A.S.).ORCID 0000-0002-8255-3770
Fang-Fei WeiThe First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China (F.-F.W., C.L.).ORCID 0000-0002-4573-2403
Teemu J NiiranenDepartment of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland (T.J.N., A.M.J.).ORCID 0000-0002-7394-7487
Chen LiuThe First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China (F.-F.W., C.L.).ORCID 0000-0002-9818-0454
Katarzyna Stolarz-SkrzypekNon-Profit Research Association Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium (D.-W.A, Y.-L.Y., K.S.-S., J.A.S.).ORCID 0000-0002-7057-7302
Wiktoria WojciechowskaFirst Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland (K.S.-S., W.W., K.K.-J., M.R.).ORCID 0000-0003-3075-3508
Antti M JulaDepartment of Chronic Disease Prevention, Finnish Institute for Health and Welfare, Turku, Finland (T.J.N., A.M.J.).ORCID 0000-0002-3522-5301
Marek RajzerFirst Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland (K.S.-S., W.W., K.K.-J., M.R.).ORCID 0000-0001-7074-7263
Dries S MartensCenter for Environmental Sciences, Hasselt University, Diepenbeek, Belgium (D.S.M., T.S.N).ORCID 0000-0001-7893-3642
Peter VerhammeCenter for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences (P.V.), University of Leuven, Belgium.ORCID 0000-0001-8698-2858
Yan LiDepartment of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (D.-W.A., Y.L.).ORCID 0000-0002-5825-5968
Kalina Kawecka-JaszczFirst Department of Cardiology, Interventional Electrocardiology and Hypertension, Jagiellonian University Medical College, Kraków, Poland (K.S.-S., W.W., K.K.-J., M.R.).ORCID 0000-0002-8660-2867
Tim S NawrotResearch Unit Environment and Health, Department of Public Health and Primary Care (D.-W.A, Y.-L.Y., T.S.N.), University of Leuven, Belgium.ORCID 0000-0002-3583-3593
Jan A Staessen *Non-Profit Research Association Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium (D.-W.A, Y.-L.Y., K.S.-S., J.A.S.).ORCID 0000-0002-3026-1637
Angela J Woodiwiss *Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa (G.R.N., A.J.W.).ORCID 0000-0003-2555-4125
International Database of Central Arterial Properties for Risk Stratification Investigators
Jagiellonian University · PLSociety of General Internal Medicine · USSun Yat-sen University · CNTurku University Hospital · FIUniversity of the Witwatersrand · ZADepartment of Public Health · USHasselt University · BEHospital Italiano de Buenos Aires · ARShanghai Institute of Hypertension · CNVIB-KU Leuven Center for Cancer Biology · BE
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
backgroundWave separation analysis enables individualized evaluation of the aortic pulse wave components. Previous studies focused on the pressure height with overall positive but differing results. In the present analysis, we assessed the associations of the pressure of forward and backward (P
methodsParticipants in 3 IDCARS (International Database of Central Arterial Properties for Risk Stratification) cohorts (Argentina, Belgium, and Finland) aged ≥20 years with valid pulse wave analysis and follow-up data were included. Pulse wave analysis was done using the SphygmoCor device, and pulse wave separation was done using the triangular method. The primary end points consisted of cardiovascular mortality and nonfatal cardiovascular and cerebrovascular events. Multivariable-adjusted Cox regression was used to calculate hazard ratios.
resultsA total of 2206 participants (mean age, 57.0 years; 55.0% women) were analyzed. Mean±SDs for P
conclusionsPulse wave components were predictive of composite cardiovascular end points, with T
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.
Mortality and Cardiovascular End Points In Relation to the Aortic Pulse Wave Components: An Individual-Participant Meta-Analysis. · full record | Socratic