Evidence map›Paper›PMID 36090285›Full record

ArticleFrontiers in neuroscience2022

Examining virtual driving test performance and its relationship to individuals with HIV-associated neurocognitive disorders.

David Grethlein, Vanessa Pirrone, Kathryn N Devlin, Will Dampier, Zsofia Szep, Flaura K Winston, Santiago Ontañón, Elizabeth A Walshe, Kim Malone, Shinika Tillman and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

14 authors at 5 institutions in 1 country.

David GrethleinDiagnostic Driving, Inc., Philadelphia, PA, United States.
Vanessa PirroneDepartment of Microbiology and Immunology, College of Medicine, Institute for Molecular Medicine and Infectious Disease, Drexel University, Philadelphia, PA, United States.
Kathryn N DevlinApplied Neuro-Technologies Lab, Department of Psychological and Brain Sciences, College of Arts and Sciences, Drexel University, Philadelphia, PA, United States.
Will DampierDepartment of Microbiology and Immunology, College of Medicine, Institute for Molecular Medicine and Infectious Disease, Drexel University, Philadelphia, PA, United States.
Zsofia SzepDivision of Infectious Diseases and HIV Medicine, Department Medicine, Partnership Comprehensive Care Practice, College of Medicine, Drexel University, Philadelphia, PA, United States.
Flaura K WinstonCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Santiago OntañónDepartment of Computer Science, The Games Artificial Intelligence and Media Systems (GAIMS) Center, College of Computing and Informatics, Drexel University, Philadelphia, PA, United States.
Elizabeth A WalsheCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Kim MaloneCollege of Medicine, Drexel University, Philadelphia, PA, United States.
Shinika TillmanCollege of Medicine, Drexel University, Philadelphia, PA, United States.
Beau M AncesDepartment of Neurology, Hope Center for Neurological Disorders, School of Medicine, Washington University, St. Louis, MO, United States.
Venk KandadaiDiagnostic Driving, Inc., Philadelphia, PA, United States.
Dennis L KolsonDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Brian WigdahlDepartment of Microbiology and Immunology, College of Medicine, Institute for Molecular Medicine and Infectious Disease, Drexel University, Philadelphia, PA, United States.
Drexel University · USChildren's Hospital of Philadelphia · USHope Center for Neurological Disorders · USInstitute for Molecular Medicine · USUniversity of Pennsylvania · US

Funding

Viral Gene Editing and Bioinformatics Core for Institution # 269291P30MH092177 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI Ilker Kudret Sariyer · 2011 to 2026
$24.9M
Initial validation of a novel pre-screening tool for HIV-associated CNS impairment: The Virtual Driving and CNS Assessment System (VDCA)R43MH122035 · NIMH · DIAGNOSTIC DRIVING, INC. · PI KANDADAI, VENKATESH · 2020 to 2022
$384k
NIMH NIH HHS P30 MH092177NIMH NIH HHS R43 MH122035
6 · The paper itself

Abstract

Significance: Existing screening tools for HIV-associated neurocognitive disorders (HAND) are often clinically impractical for detecting milder forms of impairment. The formal diagnosis of HAND requires an assessment of both cognition and impairment in activities of daily living (ADL). To address the critical need for identifying patients who may have disability associated with HAND, we implemented a low-cost screening tool, the Virtual Driving Test (VDT) platform, in a vulnerable cohort of people with HIV (PWH). The VDT presents an opportunity to cost-effectively screen for milder forms of impairment while providing practical guidance for a cognitively demanding ADL. Objectives: We aimed to: (1) evaluate whether VDT performance variables were associated with a HAND diagnosis and if so; (2) systematically identify a manageable subset of variables for use in a future screening model for HAND. As a secondary objective, we examined the relative associations of identified variables with impairment within the individual domains used to diagnose HAND. Methods: In a cross-sectional design, 62 PWH were recruited from an established HIV cohort and completed a comprehensive neuropsychological assessment (CNPA), followed by a self-directed VDT. Dichotomized diagnoses of HAND-specific impairment and impairment within each of the seven CNPA domains were ascertained. A systematic variable selection process was used to reduce the large amount of VDT data generated, to a smaller subset of VDT variables, estimated to be associated with HAND. In addition, we examined associations between the identified variables and impairment within each of the CNPA domains. Results: More than half of the participants ( Conclusion: We identified a subset of VDT performance variables that are associated with HAND and assess relevant functional abilities among individuals with HAND. Additional research is required to develop and validate a predictive HAND screening model incorporating this subset.

Indexed as

driving simulatorHIV-associated neurocognitive disordersimpairment detectionscreening toolvariable selection

Identifiers

PMID36090285
PMCPMC9448981
OpenAlexW4292877860

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.