Evidence map›Paper›PMID 33178064›Full record

ArticleFrontiers in psychology2020

Factors Predicting Detrimental Change in Declarative Memory Among Women With HIV: A Study of Heterogeneity in Cognition.

Kathryn C Fitzgerald, Pauline M Maki, Yanxun Xu, Wei Jin, Raha Dastgheyb, Dionna W Williams, Gayle Springer, Kathryn Anastos, Deborah Gustafson, Amanda B Spence and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Observational
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

16 authors at 12 institutions in 1 country.

Kathryn C FitzgeraldDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Pauline M MakiDepartments of Psychiatry and Psychology, University of Illinois at Chicago, Chicago, IL, United States.
Yanxun XuDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States.
Wei JinDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States.
Raha DastgheybDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Dionna W WilliamsDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Gayle SpringerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Kathryn AnastosAlbert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States.
Deborah GustafsonDepartment of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, United States.
Amanda B SpenceDivision of Infectious Diseases, Georgetown University Medical Center, Washington, DC, United States.
Adaora A AdimoraDivision of Infectious Diseases, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Drenna WaldropNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States.
David E VanceSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, United States.
Hector BolivarUniversity of Miami Miller School of Medicine, Miami, FL, United States.
Victor G ValcourMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
Leah H RubinDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Johns Hopkins Medicine · USJohns Hopkins University · USEmory University · USGeorgetown University · USMontefiore Medical Center · USSidney Kimmel Comprehensive Cancer Center · USSUNY Downstate Health Sciences University · USUniversity of Alabama at Birmingham · USUniversity of California, San Francisco · USUniversity of Illinois Chicago · USUniversity of Miami · USUniversity of North Carolina at Chapel Hill · US

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC Center - Admin Supplement: Vision and dual sensory loss in HIV-infected older adultsU01HL146201 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Joseph B. Margolick · 2019 to 2026
$33.7M
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000454NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050410NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NICHD NIH HHS U01 HD032632NIDA NIH HHS K99 DA044838NIMH NIH HHS K01 MH121582
6 · The paper itself

Abstract

objectiveStatistical techniques used to study cognitive function in HIV typically yield normative estimates and can mask the heterogeneity in cognitive trajectories over time. We applied a novel statistical approach to identify clusters of individuals with distinct patterns of change in declarative memory in HIV-seropositive (HIV+) and HIV-seronegative (HIV-) women.

methods1731 women from the Women's Interagency HIV Study, a multi-center, prospective cohort study, completed the Hopkins Verbal Learning Test-Revised (HLVT-R) at >2 visits. To derive subgroups with similar patterns of decline by HIV-serostatus, we used a mixed-effects framework that modeled the trajectory of multiple declarative memory outcomes over time, while simultaneously clustering individuals.

resultsOf the 1731 participants, 1149 were HIV+ (70% Black/African American [AA]; 30% White/Other [W/O]) and 582 were HIV- (68% AA; 32% W/O). Race stratification was necessary to optimize clustering. Among HIV+AA's, four subgroups emerged: a subgroup with minimal decline, two with accelerated decline, and one with stable but low performance. In HIV- AA, three subgroups emerged: one with minimal decline and two with accelerated decline. In multivariable-adjusted models among HIV+, individuals with accelerated decline were less educated (

conclusionWe identified clinically meaningful subgroups of women with distinct phenotypes of declarative memory decline, which depend on race and HIV-serostatus using a data driven approach. Identification of underlying mechanisms and risk factors contributing to the observed differences are warranted. More broadly our modeling approach could be other populations to identify risk factors for accelerated cognitive decline and to personalize interventions.

Indexed as

declarative memoryHIVlongitudinalphenotypingwomen

Identifiers

PMID33178064
PMCPMC7594511
OpenAlexW3092928754

What OpenQuestion holds

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LicenceCC BY
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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.