Article in Journal of the American Heart Association, 2022. 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
1.1field-weighted citation impact, top 22% 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
14 authors at 7 institutions in 1 country.
Simon B AscherDepartment of Medicine Kidney Health Research CollaborativeSan Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA.ORCID 0000-0003-3465-4208
Rebecca ScherzerDepartment of Medicine Kidney Health Research CollaborativeSan Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA.
Jame A de LemosDivison of Cardiology Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX.
Michelle M EstrellaDepartment of Medicine Kidney Health Research CollaborativeSan Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA.
Vasantha K JotwaniDepartment of Medicine Kidney Health Research CollaborativeSan Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA.
Pranav S GarimellaDivision of Nephrology-Hypertension University of California San Diego San Diego CA.ORCID 0000-0002-6016-4715
Alexander L BullenDivision of Nephrology-Hypertension University of California San Diego San Diego CA.
Walter T AmbrosiusDepartment of Biostatistics and Data Science Wake Forest School of Medicine Winston-Salem NC.
Christie M BallantyneDepartment of Medicine and Center for Cardiometabolic Disease Prevention Baylor College of Medicine Houston TX.ORCID 0000-0002-6432-1730
Vijay NambiDepartment of Medicine and Center for Cardiometabolic Disease Prevention Baylor College of Medicine Houston TX.ORCID 0000-0002-4237-0267
Anthony A KilleenDepartment of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN.ORCID 0000-0003-1629-9468
Joachim H IxDivision of Nephrology-Hypertension University of California San Diego San Diego CA.
Michael G ShlipakDepartment of Medicine Kidney Health Research CollaborativeSan Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA.
Jarett D BerryDivison of Cardiology Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX.ORCID 0000-0002-5004-8155
San Francisco VA Health Care System · USUniversity of California San Diego · USThe University of Texas Southwestern Medical Center · USBaylor College of Medicine · USMichael E. DeBakey VA Medical Center · USUniversity of Minnesota · USWake Forest University · US
Funding
INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025771 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2008 to 2011
Background Assessing the risk of serious adverse events (SAEs) during hypertension treatment is important for understanding the benefit-harm trade-offs of lower blood pressure goals. It is unknown whether high-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) provide information about SAEs. Methods and Results In SPRINT (Systolic Blood Pressure Intervention Trial), hs-cTnT and NT-proBNP were measured at baseline in 8828 (94.3%) and 8836 (94.4%) participants, respectively. Multivariable Cox proportional hazards models were used to evaluate hs-cTnT and NT-proBNP associations with a composite of SPRINT's SAEs of interest: hypotension, syncope, bradycardia, acute kidney injury, electrolyte abnormalities, and injurious falls. Elevations in hs-cTnT and NT-proBNP were associated with increased composite SAE risk (hazard ratio [HR] per 2-fold higher hs-cTnT: 1.15; 95% CI, 1.06‒1.25; HR per 2-fold higher NT-proBNP: 1.09; 95% CI, 1.05‒1.14). Compared with both hs-cTnT and NT-proBNP in the lower tertiles, both biomarkers in the highest tertile was associated with increased composite SAE risk (HR, 1.56; 95% CI, 1.32‒1.84). Composite SAE risk was higher in the intensive-treatment group than in the standard-treatment group for participants with both biomarkers in the lower tertiles, but similar between treatment groups for participants with both biomarkers in the highest tertile (
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.