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 8 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
Leila BorowskyDivision of General Internal Medicine Massachusetts General Hospital Boston MA.ORCID 0000-0001-7498-4450
Wei HeDivision of General Internal Medicine Massachusetts General Hospital Boston MA.
Asya LyassDepartment of Mathematics and Statistics Boston University Boston MA.
David ChengBiostatistics Center Massachusetts General Hospital Boston MA.
H Nina KimUniversity of Washington Seattle WA.
Marina B KleinMcGill University Health Centre Montreal QC Canada.
Edward R CachayDepartment of Medicine, Division of Infectious Diseases and Global Public Health University of California San Diego CA.ORCID 0000-0002-2452-7558
Ronald J BoschHarvard T.H. Chan School of Public Health Boston MA.
M John GillDepartment of Medicine University of Calgary Calgary Alberta Canada.
Michael J SilverbergKaiser Permanente Northern California Oakland CA.
Jennifer E ThorneJohns Hopkins University School of Medicine Baltimore MD.
Kathleen McGinnisVeterans Affairs Connecticut Healthcare System West Haven CT.
Michael A HorbergKaiser Permanente Mid-Atlantic States Rockville MD.
Timothy R SterlingVanderbilt University School of Medicine Nashville TN.
Virginia A TriantDivision of Infectious Diseases Massachusetts General Hospital Boston MA.
Keri N AlthoffDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.ORCID 0000-0002-5068-6595
Johns Hopkins University · USMassachusetts General Hospital · USBoston University · USHarvard University · USKaiser Permanente · USMcGill University Health Centre · CAUniversity of Calgary · CAUniversity of California System · USUniversity of Washington · USVA Connecticut Healthcare System · USVanderbilt University · US
Funding
WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Judith Tsui · 1988 to 2026
$104.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Studies of Ocular Complications of AIDS - Coordinating CenterU10EY008057 · NEI · JOHNS HOPKINS UNIVERSITY · PI VAN NATTA, MARK L · 1988 to 2012
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
Background People with HIV (PWH) are at an increased risk of cardiovascular disease (CVD) with an unknown added impact of hepatitis C virus (HCV) coinfection. We aimed to identify whether HCV coinfection increases the risk of type 1 myocardial infarction (T1MI) and if the risk differs by age. Methods and Results We used data from NA-ACCORD (North American AIDS Cohort Collaboration on Research and Design) from January 1, 2000, to December 31, 2017, PWH (aged 40-79 years) who had initiated antiretroviral therapy. The primary outcome was an adjudicated T1MI event. Those who started direct-acting HCV antivirals were censored at the time of initiation. Crude incidence rates per 1000 person-years were calculated for T1MI by calendar time. Discrete time-to-event analyses with complementary log-log models were used to estimate adjusted hazard ratios and 95% CIs for T1MI among those with and without HCV. Among 23 361 PWH, 4677 (20%) had HCV. There were 89 (1.9%) T1MIs among PWH with HCV and 314 (1.7%) among PWH without HCV. HCV was not associated with increased T1MI risk in PWH (adjusted hazard ratio, 0.98 [95% CI, 0.74-1.30]). However, the risk of T1MI increased with age and was amplified in those with HCV (adjusted hazard ratio per 10-year increase in age, 1.85 [95% CI, 1.38-2.48]) compared with those without HCV (adjusted hazard ratio per 10-year increase in age,1.30 [95% CI, 1.13-1.50];
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.
Evaluating the Cardiovascular Risk in an Aging Population of People With HIV: The Impact of Hepatitis C Virus Coinfection. · full record | OpenQuestion