Evidence map›Paper›PMID 32035124›Full record

ArticleProgress in cardiovascular diseases

Protocol paper: Stepped wedge cluster randomized trial translating the ABCS into optimizing cardiovascular care for people living with HIV.

Stephen K Williams, Brent A Johnson, Jonathan N Tobin, Amneris Esther Luque, Mechelle Sanders, Jennifer K Carroll, Andrea Cassells, Tameir Holder, Kevin Fiscella

Open access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. COVID-19 impact on multi-site recruitment and enrollment.Clinical trials (London, England) · 2020
    Article
  6. Article
  7. 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

9 authors at 6 institutions in 1 country.

Stephen K WilliamsDepartment of Population Health, Center for Healthful Behavior Change, New York University School of Medicine, New York, NY.
Brent A JohnsonDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
Jonathan N TobinClinical Directors Network (CDN), Community-Engaged Research, The Rockefeller University Center for Clinical and Translational Science, New York, NY.
Amneris Esther LuqueInfectious Diseases and Geographic Medicine, HIV Program at Parkland Health and Hospital System, Community Prevention and Intervention Unit, UT Southwestern Medical Center, Dallas, TX.
Mechelle SandersDepartment of Family Medicine, University of Rochester Medical Center, Rochester, NY.
Jennifer K CarrollDepartment of Family Medicine, University of Colorado, Aurora, CO.
Andrea CassellsClinical Directors Network, Inc. (CDN), New York, NY.
Tameir HolderClinical Directors Network, Inc. (CDN), New York, NY.
Kevin FiscellaDepartment of Family Medicine, University of Rochester Medical Center, Rochester, NY. Electronic address: Kevin_fiscella@urmc.rochester.edu.
University of Rochester Medical Center · USClinical Directors Network · USNew York University · USRockefeller University · USSouthwestern Medical Center · USUniversity of Colorado Denver · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
Implementation Research: Translating the ABC's into HIV CareU01HL142107 · NHLBI · UNIVERSITY OF ROCHESTER · PI FISCELLA, KEVIN ANTHONY · 2018 to 2021
$2.7M
NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1 TR002001NHLBI NIH HHS U01 HL142107
6 · The paper itself

Abstract

People living with HIV (PWH) are at higher risk for cardiovascular disease (CVD) and stroke in comparison to their non-infected counterparts. The ABCS (aspirin-blood pressure control-cholesterol control-smoking cessation) reduce atherosclerotic (ASCVD) risk in the general population, but little is known regarding strategies for promoting the ABCS among PWH. Guided by the Consolidated Framework for Implementation Research (CFIR), we designed multilevel implementation strategies that target PWH and their clinicians to promote appropriate use of the ABCS based on a 10-year estimated ASCVD risk. Implementation strategies include patient coaching, automated texting, peer phone support, academic detailing and audit and feedback for the patient's clinician. We are evaluating implementation through a stepped wedge cluster randomized trial based on the Reach-Effectiveness-Adoption-Maintenance/Qualitative-Evaluation-for-Systematic-Translation (RE-AIM/QuEST) mixed methods framework that integrates quantitative and qualitative assessments. The primary outcome is change in ASCVD risk. Findings will have important implications regarding strategies for reducing ASCVD risk among PWH.

Indexed as

HIV Long-Term SurvivorsPrimary PreventionAdultAgedAnti-HIV AgentsAntihypertensive AgentsCardiovascular DiseasesFemaleHealth StatusHIV InfectionsHumansHypoglycemic AgentsMaleMiddle AgedMulticenter Studies as TopicPlatelet Aggregation InhibitorsAnti-HIV AgentsAntihypertensive AgentsHypoglycemic AgentsPlatelet Aggregation InhibitorsCardiovascular diseaseHIVImplementation effectivenessPrimary preventionRisk factors

Identifiers

PMID32035124
PMCPMC8027755
OpenAlexW3005511907

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.