Evidence map›Paper›PMID 27454251›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2016

Topographies of Cortical and Subcortical Volume Loss in HIV and Aging in the cART Era.

Anika Guha, Matthew R Brier, Mario Ortega, Elizabeth Westerhaus, Brittany Nelson, Beau M Ances

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  19. Differential Effects of AIDS and Chronic Human Immunodeficiency Virus Infection on Gray Matter Volume.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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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

6 authors at 1 institution in 2 countries.

Anika GuhaDepartments of *Neurology; †Bioengineering; ‡Radiology, Washington University in Saint Louis, St. Louis, MO; and §Hope Center for Neurological Disorders, Washington University in Saint Louis, St. Louis, MO.
Matthew R Brier
Mario Ortega
Elizabeth Westerhaus
Brittany Nelson
Beau M Ances
Neurology, Inc · US

Funding

BIOMEDICAL RESEARCH TRAINING IN DRUG ABUSET32DA007261 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, Jose A Moron-Concepcion · 1991 to 2026
$8.8M
Frailty and Brain Integrity in Older HIV-infected IndividualsR01NR014449 · NINR · WASHINGTON UNIVERSITY · PI ANCES, BEAU M · 2013 to 2017
$2.4M
NEUROIMAGING AND NEUROBEHAVIORAL BASIS OF RISKY DECISION-MAKING IN ADOLESCENTSR01NR012907 · NINR · WASHINGTON UNIVERSITY · PI ANCES, BEAU M · 2011 to 2015
$1.9M
THE EFFECTS OF AGE AND HIGHLY ACTIVE ANTIRETROVIRAL THERAPY ON BRAIN FUNCTIONR01NR012657 · NINR · WASHINGTON UNIVERSITY · PI ANCES, BEAU M · 2010 to 2014
$1.9M
Calibrated BOLD fMRI of HIV Associated Neurocognitive Impairment (HNCI)K23MH081786 · NIMH · WASHINGTON UNIVERSITY · PI ANCES, BEAU M · 2007 to 2012
$820k
Structural Neuroimaging Markers in Primary HIV InfectionR21MH099979 · NIMH · YALE UNIVERSITY · PI ANCES, BEAU M, SPUDICH, SERENA S · 2013 to 2014
$350k
NIDA NIH HHS T32 DA007261NIMH NIH HHS K23 MH081786NIMH NIH HHS R21 MH099979NINR NIH HHS R01 NR012657NINR NIH HHS R01 NR012907NINR NIH HHS R01 NR014449
6 · The paper itself

Abstract

objectivesStudies of HIV-associated brain atrophy often focus on a priori brain regions of interest, which can introduce bias. A data-driven, minimally biased approach was used to analyze changes in brain volumetrics associated with HIV and their relationship to aging, viral factors, combination antiretroviral therapy (cART), and gender, and smoking.

designA cross-sectional study of 51 HIV-uninfected (HIV-) and 146 HIV-infected (HIV+) participants.

methodsStructural MRI of participants was analyzed using principal component analysis (PCA) to reduce dimensionality and determine topographies of volumetric changes. Neuropsychological (NP) assessment was examined using global and domain-specific scores. The effects of HIV disease factors (eg, viral load, CD4, etc.) on brain volumes and neuropsychological were investigated using penalized regression (LASSO).

resultsTwo components of interest were visualized using principal component analysis. An aging effect predominated for both components. The first component, a cortically weighted topography, accounted for a majority of variance across participants (43.5% of variance) and showed independent effects of HIV and smoking. A secondary, subcortically weighted topography (4.6%) showed HIV-status accentuated age-related volume loss. In HIV+ patients, the cortical topography correlated with global neuropsychological scores and nadir CD4, whereas subcortical volume loss was associated with recent viral load.

conclusionsCortical regions showed the most prominent volumetric changes because of aging and HIV. Within HIV+ participants, cortical volumes were associated with immune history, whereas subcortical changes correlated with current immune function. Cognitive function was primarily associated with cortical volume changes. Observed volumetric changes in chronic HIV+ patients may reflect both past infection history and current viral status.

Indexed as

AgingAdolescentAdultAgedAIDS Dementia ComplexAnti-HIV AgentsCase-Control StudiesCerebral CortexCross-Sectional StudiesDrug Therapy, CombinationFemaleHIV InfectionsHumansMaleMiddle AgedOrgan SizeAnti-HIV Agents

Identifiers

PMID27454251
PMCPMC5085858
OpenAlexW2502958806

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.