Evidence map›Paper›PMID 38149107›Full record

ArticleOpen forum infectious diseases2023

An Automated Virtual Reality Program Accurately Diagnoses HIV-Associated Neurocognitive Disorders in Older People With HIV.

Raeanne C Moore, Kevin S Kuehn, Anne Heaton, Erin E Sundermann, Laura M Campbell, Peter Torre, Anya Umlauf, David J Moore, Nicole Kosoris, David W Wright and 3 more

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In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Raeanne C MooreDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-7499-041X
Kevin S KuehnDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
Anne HeatonDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
Erin E SundermannDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
Laura M CampbellDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
Peter TorreSan Diego State University, San Diego, California, USA.
Anya UmlaufDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
David J MooreDepartment of Psychiatry, School of Medicine, University of California at San Diego, La Jolla, California, USA.
Nicole KosorisGeorgia Tech Research Institute, Atlanta, Georgia, USA.
David W WrightDepartment of Emergency Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA.
Michelle C LaPlacaDepartment of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, Georgia, USA.
Drenna WaldropNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.
Albert M AndersonDivision of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
NIAID NIH HHS P30 AI050409NIAID NIH HHS T32 AI007384
6 · The paper itself

Abstract

Background: HIV-associated neurocognitive disorders (HANDs) remain prevalent despite antiretroviral therapy, particularly among older people with HIV (PWH). However, the diagnosis of HAND is labor intensive and requires expertise to administer neuropsychological tests. Our prior pilot work established the feasibility and accuracy of a computerized self-administered virtual reality program (DETECT; Display Enhanced Testing for Cognitive Impairment and Traumatic Brain Injury) to measure cognition in younger PWH. The present study expands this to a larger sample of older PWH. Methods: We enrolled PWH who were ≥60 years old, were undergoing antiretroviral therapy, had undetectable plasma viral loads, and were without significant neuropsychological confounds. HAND status was determined via Frascati criteria. Regression models that controlled for demographic differences (age, sex, education, race/ethnicity) examined the association between DETECT's cognition module and both HAND status and Global Deficit Score (GDS) derived via traditional neuropsychological tests. Results: Seventy-nine PWH (mean age, 66 years; 28% women) completed a comprehensive neuropsychological battery and DETECT's cognition module. Twenty-five (32%) had HAND based on the comprehensive battery. A significant correlation was found between the DETECT cognition module and the neuropsychological battery ( Conclusions: The DETECT cognition module provides a novel means to identify cognitive impairment in older PWH. As DETECT is fully immersive and self-administered, this virtual reality tool holds promise as a scalable cognitive screening battery.

Indexed as

cognitioncognitive agingcognitive screeningdigital healthHIVvirtual reality

Identifiers

PMID38149107
PMCPMC10750141

What Socratic holds

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Registered trials

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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 Socratic graph.