Evidence map›Paper›PMID 39935743›Full record

ArticleFrontiers in public health2024

Mental health phenotypes of well-controlled HIV in Uganda.

Leah H Rubin, Kyu Cho, Jacob Bolzenius, Julie Mannarino, Rebecca E Easter, Raha M Dastgheyb, Aggrey Anok, Stephen Tomusange, Deanna Saylor, Maria J Wawer and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2024. 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

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.

  1. Review
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.

Leah H RubinDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Kyu ChoMissouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
Jacob BolzeniusMissouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
Julie MannarinoMissouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.
Rebecca E EasterDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Raha M DastgheybDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Aggrey AnokRakai Health Sciences Program, Kalisizo, Uganda.
Stephen TomusangeRakai Health Sciences Program, Kalisizo, Uganda.
Deanna SaylorDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Maria J WawerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Noeline NakasujjaDepartment of Psychiatry, Makerere University, Kampala, Uganda.
Gertrude NakigoziRakai Health Sciences Program, Kalisizo, Uganda.
Robert PaulMissouri Institute of Mental Health, University of Missouri - St. Louis, St. Louis, MO, United States.

Funding

Therapeutic CoreP30MH075673 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Leah Helane Rubin · 2006 to 2026
$33.2M
Mental Health and Cognition in HIV Infection in Rakai UgandaR01MH120693 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PAUL, ROBERT HARRIS, RUBIN, LEAH HELANE · 2019 to 2023
$2.9M
NIMH NIH HHS P30 MH075673NIMH NIH HHS R01 MH120693
6 · The paper itself

Abstract

Introduction: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH) in Uganda and worldwide are heterogeneous. Accordingly, there has been a shift toward identifying MH phenotypes using data-driven methods capable of identifying novel insights into mechanisms of divergent MH phenotypes among PWH. We leverage the analytic strengths of machine learning combined with inferential methods to identify novel MH phenotypes among PWH and the underlying explanatory features. Methods: A total of 277 PWH (46% female, median age = 44; 93% virally suppressed [<50copies/mL]) were included in the analyses. Participants completed the Patient Health Questionnaire (PHQ-9), Beck Anxiety Inventory (BAI), and the PTSD Checklist-Civilian (PCL-C). A clustering pipeline consisting of dimension reduction with UMAP followed by HBDScan was used to identify MH subtypes using total symptom scores. Inferential statistics compared select demographic (age, sex, education), viral load, and early life adversity between clusters. Results: We identified four MH phenotypes. Cluster 1 ( Discussion: We identified unique MH phenotypes among PWH and confirmed the importance of early life adversity as an early risk determinant for unfavorable MH among PWH in adulthood.

Indexed as

HIV InfectionsMental HealthPhenotypeStress Disorders, Post-TraumaticAdultAnxietyFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUgandaanxietycognitiondepressionglobalHIVmental healthPTSDUganda

Identifiers

PMID39935743
PMCPMC11810918

What OpenQuestion 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 OpenQuestion graph.