Evidence map›Paper›PMID 26258570›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2015

Measuring the HIV Care Continuum Using Public Health Surveillance Data in the United States.

Catherine R Lesko, Lynne A Sampson, William C Miller, Jacquelyn Clymore, Peter A Leone, Heidi Swygard, Kimberly A Powers

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. A Framework for Descriptive Epidemiology.American journal of epidemiology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Prediction of HIV Transmission Cluster Growth With Statewide Surveillance Data.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
  15. Article
  16. Article
  17. A Flow-Based Model of the HIV Care Continuum in the United States.Journal of acquired immune deficiency syndromes (1999) · 2017
    Article
  18. Article
  19. Observational
  20. Longitudinal HIV Care Trajectories in North Carolina.Journal of acquired immune deficiency syndromes (1999) · 2017
    Article
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.

Catherine R Lesko*Department of Epidemiology, University of North Carolina, Chapel Hill, NC; †Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; ‡Department of Medicine, University of North Carolina, Chapel Hill, NC; and §Communicable Disease Branch, North Carolina Division of Public Health, Raleigh, NC.
Lynne A Sampson
William C Miller
Jacquelyn Clymore
Peter A Leone
Heidi Swygard
Kimberly A Powers

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
PS12-1201 COMPREHENSIVE HIV PREVENTION PROJECT FOR HEALTH DEPTSU62PS003658 · PS · NC STATE DEPT/HLTH & HUMAN SERVICES · PI FOUST, EVELYN · 2012 to 2016
$30.5M
NORTH CAROLINAS STD PREVENTION PROJECTH25PS004349 · PS · NC STATE DEPT/HLTH & HUMAN SERVICES · PI FOUST, EVELYN · 2014 to 2016
$6.5M
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 TR001109NCHHSTP CDC HHS 1H25PS004349-03NCHHSTP CDC HHS 5U62PS003658-04NCHHSTP CDC HHS H25 PS004349NCHHSTP CDC HHS U62 PS003658NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI50410NIMH NIH HHS R03 MH100987
6 · The paper itself

Abstract

The HIV care continuum is a critical framework for situational awareness of the HIV epidemic; yet challenges to accurate enumeration of continuum components hamper continuum estimation in practice. We describe local surveillance-based estimation of the HIV continuum in the United States, reviewing common practices as recommended by the Centers for Disease Control and Prevention. Furthermore, we review some challenges and biases likely to threaten existing continuum estimates. Current estimates rely heavily on the use of CD4 cell count and HIV viral load laboratory results reported to surveillance programs as a proxy for receipt of HIV-related outpatient care. As such, continuum estimates are susceptible to bias because of incomplete laboratory reporting and imperfect sensitivity and specificity of laboratory tests as a proxy for routine HIV care. Migration of HIV-infected persons between jurisdictions also threatens the validity of continuum estimates. Data triangulation may improve but not fully alleviate biases.

Indexed as

Anti-HIV AgentsContinuity of Patient CareFemaleHIV InfectionsHumansMalePopulation SurveillancePublic Health InformaticsUnited StatesAnti-HIV Agents

Identifiers

PMID26258570
PMCPMC4644460

What OpenQuestion holds

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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.