Evidence map›Paper›PMID 39368026›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Using network analysis to provide evidence for brain health as a unified construct relevant to aging with HIV.

Mohamad Matout, Marie-Josée Brouillette, Lesley K Fellows, Nancy E Mayo

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Article in Social psychiatry and psychiatric epidemiology, 2025. 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
–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

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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.

  1. Exploring the Relationship Between Heart, Brain, and Depression.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2025
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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

4 authors.

Mohamad MatoutMcGill University, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada. mohamad.matout@mail.mcgill.ca.
Marie-Josée BrouilletteMcGill University, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Lesley K FellowsMcGill University, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
Nancy E MayoCenter for Outcomes Research and Evaluation, Research Institute of McGill University Health Center (MUHC), Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBrain health is a dynamic state involving cognitive, emotional, and motor domains. Measuring brain health is a challenge owing to the uncertainty as to whether it is one or many constructs. This study aimed to contribute evidence for brain health as a unified construct by estimating the strength of relationships between and among patient-reported items related to the brain health construct in a population with brain vulnerability owing to HIV.

methodsData for this cross-sectional analysis came from a Canadian cohort of people aging with HIV. The sample included 710 men recruited between 2014 and 2016 from five Canadian cities. A network analysis was conducted with 30 items selected from the brain-related domains of fatigue, cognition, depression, sleep, anxiety, and motivation. Node centrality measures were used to determine the most critical items in the network.

resultsThe network showed small-world properties, that is, most nodes can be reached from other nodes with few hops," indicating strong connectivity. The most central symptoms were "How much do you enjoy life?" and "How often do you have negative feelings?".

conclusionThe small-world properties of the network structure indicate that brain health items are interconnected and may be influenced by shared underlying factors. The centrality indices suggest that items related to enjoyment of life and negative feelings may be particularly important for understanding brain health in this population. Future research should aim to replicate these findings in larger and more diverse samples to confirm their robustness and generalizability.

Indexed as

AgingBrainHIV InfectionsAdultAgedAnxietyCanadaCognitionCross-Sectional StudiesDepressionFatigueHumansMaleMiddle AgedAgingBrain healthHIVNetwork analysisSmall-world network

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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 OpenQuestion graph.