Evidence map›Paper›PMID 30990464›Full record

ArticleJMIR research protocols2019

Model-Based Methods to Translate Adolescent Medicine Trials Network for HIV/AIDS Interventions Findings Into Policy Recommendations: Rationale and Protocol for a Modeling Core (ATN 161).

Anne M Neilan, Kunjal Patel, Allison L Agwu, Ingrid V Bassett, K Rivet Amico, Catherine M Crespi, Aditya H Gaur, Keith J Horvath, Kimberly A Powers, H Jonathon Rendina and 11 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Article
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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

21 authors.

Anne M NeilanDivision of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0001-7915-4974
Kunjal PatelDepartment of Epidemiology and Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID http://orcid.org/0000-0003-0002-681X
Allison L AgwuDepartments of Pediatric and Adult Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-8449-222X
Ingrid V BassettMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6920-6080
K Rivet AmicoUniversity of Michigan School of Public Health, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-4458-6934
Catherine M CrespiDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0002-6150-2181
Aditya H GaurSt. Jude's Children's Research Hospital, Memphis, TN, United States.ORCID http://orcid.org/0000-0002-6639-5231
Keith J HorvathDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID http://orcid.org/0000-0001-7569-2839
Kimberly A PowersDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0001-7980-9846
H Jonathon RendinaHunter College of the City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-0148-2852
Lisa B Hightow-WeidmanInstitute for Global Health & Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-2421-923X
Xiaoming LiArnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID http://orcid.org/0000-0002-5555-9034
Sylvie NaarCenter for Translational Behavioral Research, Florida State University, Tallahassee, FL, United States.ORCID http://orcid.org/0000-0001-6369-4685
Sharon NachmanState University of New York, Stony Brook, NY, United States.ORCID http://orcid.org/0000-0003-1665-7253
Jeffrey T ParsonsHunter College of the City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-6875-7566
Kit N SimpsonMedical University of South Carolina, Charleston, SC, United States.ORCID http://orcid.org/0000-0002-1713-0632
Bonita F StantonHackensack Meridian School of Medicine at Seton Hall University, Nutley, NJ, United States.ORCID http://orcid.org/0000-0001-7892-5327
Kenneth A FreedbergMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6471-7930
Audrey C BangsMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0002-7283-7200
Michael G HudgensDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-9106-4194
Andrea L CiaranelloMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0002-4268-3263

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Project-003U24HD089880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HUDGENS, MICHAEL G, LAVANGE, LISA · 2016 to 2021
$44.3M
The UNC/Emory Center for Innovative Technology (iTech) across the prevention and care continuumU19HD089881 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HIGHTOW-WEIDMAN, LISA B, SULLIVAN, PATRICK SEAN · 2016 to 2022
$35.8M
University of California, San Diego Clinical Trial UnitUM1AI069536 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STEPHEN A SPECTOR · 2012 to 2026
$34.0M
NIAID NIH HHS P30 AI050410NIAID NIH HHS UM1 AI069536NICHD NIH HHS U19 HD089881NICHD NIH HHS U24 HD089880
6 · The paper itself

Abstract

backgroundThe United States Centers for Disease Control and Prevention estimates that approximately 60,000 US youth are living with HIV. US youth living with HIV (YLWH) have poorer outcomes compared with adults, including lower rates of diagnosis, engagement, retention, and virologic suppression. With Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) support, new trials of youth-centered interventions to improve retention in care and medication adherence among YLWH are underway.

objectiveThis study aimed to use a computer simulation model, the Cost-Effectiveness of Preventing AIDS Complications (CEPAC)-Adolescent Model, to evaluate selected ongoing and forthcoming ATN interventions to improve viral load suppression among YLWH and to define the benchmarks for uptake, effectiveness, durability of effect, and cost that will make these interventions clinically beneficial and cost-effective.

methodsThis protocol, ATN 161, establishes the ATN Modeling Core. The Modeling Core leverages extensive data-already collected by successfully completed National Institutes of Health-supported studies-to develop novel approaches for modeling critical components of HIV disease and care in YLWH. As new data emerge from ongoing ATN trials during the award period about the effectiveness of novel interventions, the CEPAC-Adolescent simulation model will serve as a flexible tool to project their long-term clinical impact and cost-effectiveness. The Modeling Core will derive model input parameters and create a model structure that reflects key aspects of HIV acquisition, progression, and treatment in YLWH. The ATN Modeling Core Steering Committee, with guidance from ATN leadership and scientific experts, will select and prioritize specific model-based analyses as well as provide feedback on derivation of model input parameters and model assumptions. Project-specific teams will help frame research questions for model-based analyses as well as provide feedback regarding project-specific inputs, results, sensitivity analyses, and policy conclusions.

resultsThis project was funded as of September 2017.

conclusionsThe ATN Modeling Core will provide critical information to guide the scale-up of ATN interventions and the translation of ATN data into policy recommendations for YLWH in the United States.

Indexed as

adolescentcosts and cost analysishealth policyHIVmedication adherencemodelingretention in careyouth

Identifiers

PMID30990464
PMCPMC6488956

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.