Evidence map›Paper›PMID 28079718›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2017

Longitudinal HIV Care Trajectories in North Carolina.

Kimberly A Powers, Erika Samoff, Mark A Weaver, Lynne A Sampson, William C Miller, Peter A Leone, Heidi Swygard

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

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  18. CROI 2018: Advances in Antiretroviral Therapy.Topics in antiviral medicine · 2018
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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

7 authors at 3 institutions in 1 country.

Kimberly A Powers*Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; †Communicable Disease Branch, Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, NC; ‡Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC; §Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC; and ‖Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH.
Erika Samoff
Mark A Weaver
Lynne A Sampson
William C Miller
Peter A Leone
Heidi Swygard
University of North Carolina at Chapel Hill · USNC Department of Health and Human Services · USThe Ohio State University · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
Evaluating Community Viral Load and other Metrics for HIV Treatment as PreventionR03MH100987 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POWERS, KIMBERLY A · 2013 to 2014
$152k
NCATS NIH HHS KL2 TR001109NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR002489NIAID NIH HHS P30 AI050410NIMH NIH HHS R03 MH100987
6 · The paper itself

Abstract

backgroundLong-term HIV care and treatment engagement is required for maximal clinical and prevention benefits, but longitudinal care patterns are poorly understood. We used the last 10 years' worth of HIV surveillance data from North Carolina to describe longitudinal HIV care trajectories from diagnosis.

methodsWe conducted a retrospective, population-based cohort study of all persons newly diagnosed with HIV in North Carolina between March 31, 2006 and March 31, 2015 (N = 16,207). We defined HIV care attendance in each 3-month and 6-month interval after diagnosis as the presence of viral load and/or CD4 records (care visit proxies) in the interval. We used group-based trajectory modeling to identify common care trajectories and baseline predictors thereof.

resultsA predicted 26% of newly HIV-diagnosed persons showed consistently high care attendance over time; ∼16% exhibited steadily declining attendance; ∼26% showed consistently low attendance; ∼17% had initially weak attendance with an increase starting ∼1.5 year later; and ∼15% showed initially weak attendance with an increase starting ∼3 years later. Older age at diagnosis was protective against all suboptimal trajectories (with the "consistently high" pattern as referent), and being a man who has sex with men was protective against 3 of the 4 suboptimal patterns.

conclusionsAs measured by surveillance-based laboratory proxies, most newly HIV-diagnosed persons exhibited suboptimal care trajectories, but there was wide variation in the particular pathways followed. The insights provided by this analytical approach can help to inform the design of epidemic models and tailored interventions, with the ultimate goal of improving HIV care engagement and transmission prevention.

Indexed as

Health Services ResearchAdultCD4 Lymphocyte CountContinuity of Patient CareFemaleHIV InfectionsHumansMaleNorth CarolinaRetrospective StudiesViral Load

Identifiers

PMID28079718
PMCPMC5289300
OpenAlexW2574738228

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.