Evidence map›Paper›PMID 37971860›Full record

ArticleNeuropsychology2024

Identifying and distinguishing cognitive profiles among virally suppressed people with HIV.

Erin E Sundermann, Raha Dastgheyb, David J Moore, Alison S Buchholz, Mark W Bondi, Ronald J Ellis, Scott L Letendre, Robert K Heaton, Leah H Rubin

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychology, 2024. 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
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Erin E SundermannDepartment of Psychiatry, University of California, San Diego.ORCID 0000-0001-5821-8035
Raha DastgheybDepartment of Neurology, Johns Hopkins University.
David J MooreDepartment of Psychiatry, University of California, San Diego.
Alison S BuchholzDepartment of Neurology, Johns Hopkins University.
Mark W BondiDepartment of Psychiatry, University of California, San Diego.
Ronald J EllisDepartment of Psychiatry, University of California, San Diego.
Scott L LetendreDepartment of Psychiatry, University of California, San Diego.
Robert K HeatonDepartment of Psychiatry, University of California, San Diego.
Leah H RubinDepartment of Neurology, Johns Hopkins University.
University of California San Diego · USJohns Hopkins University · US

Funding

STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jessica Lynette Montoya · 2001 to 2026
$50.4M
UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAMES B BREWER · 2019 to 2026
$34.9M
California NeuroAIDS Tissue NetworkU24MH100928 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ACHIM, CRISTIAN L, MOORE, DAVID J · 2013 to 2023
$13.9M
CHARTER Plus: A resource for cutting-edge research on neurological function and mental health in people with HIV and substance use disorders across the lifespanR24MH129166 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RONALD J. ELLIS, Scott L Letendre · 2022 to 2026
$9.9M
Disentangling Alzheimer's disease and HIV-Associated Neurocognitive Disorder: Identifying unique neuropsychological profiles with distinct biomarker and neuropathological signaturesRF1AG061070 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W, MOORE, DAVID J · 2018 to 2024
$3.1M
CNS HIV ANTI-RETROVIRAL THERAPY EFFECTS RESEARCH /CHARTER/ -278022005-278022005N01MH022005 · NIMH · UNIVERSITY OF CA -SAN DIEGO · PI GRANT, IGOR · 2003 to 2006
–
NIA NIH HHS P30 AG062429NIA NIH HHS RF1 AG061070NIH HHSNIMH NIH HHS HHSN271201000030CNIMH NIH HHS HHSN271201000036CNIMH NIH HHS N01 MH022005NIMH NIH HHS P30 MH062512NIMH NIH HHS R24 MH129166NIMH NIH HHS U24 MH100928
6 · The paper itself

Abstract

objectiveCognitive deficits are common among people with HIV (PWH), even when virally suppressed. We identified cognitive profiles among virally suppressed PWH and determined how sociodemographic, clinical/behavioral, and HIV disease characteristics distinguish profile membership.

methodParticipants included 704 virally suppressed PWH (

resultsSix cognitive profiles were identified: (a) "unimpaired" (19.9%); (b) weakness in verbal learning and memory (15.5%); (c) weakness in executive function and learning (25.8%); (d) weakness in motor, processing speed, and executive function (8.1%); (e) impaired learning and recall with weak-to-impaired motor, processing speed, and executive function (13.1%); (f) global deficits (17.6%). The most discriminative sociodemographic, clinical/behavioral, and HIV disease characteristics varied by profile with self-reported mood symptoms and cognitive/functional difficulties (e.g., language/communication, memory, and overall everyday function complaints) most consistently associated with profile membership.

conclusionsCognitive profiles and their associated factors among PWH are heterogeneous, but learning/memory deficits were most common and self-reported mood, and cognitive/functional difficulties were most consistently related to profile membership. This heterogeneity in cognitive profiles and their correlates in PWH suggests that differing mechanisms contribute to cognitive deficits and, thus, underscores the need for personalized risk reduction and therapeutic strategies among PWH. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Cognition DisordersCognitive DysfunctionHIV InfectionsAdultCognitionExecutive FunctionFemaleHumansMaleNeuropsychological Tests

Identifiers

PMID37971860
PMCPMC11260085
OpenAlexW4388730271

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.