Evidence map›Paper›PMID 34727754›Full record

ArticleInternational journal of STD & AIDS2022

Predicting cardiovascular risk using a novel risk score in young and middle-age adults with HIV: associations with biomarkers and carotid atherosclerotic plaque.

Violeta J Rodriguez, John M Abbamonte, Manasi S Parrish, Deborah L Jones, Stephen Weiss, Suresh Pallikkuth, Michal Toborek, Maria L Alcaide, Dushyantha Jayaweera, Savita Pahwa and 3 more

Open access · greenAbstract read
In one paragraph

Article in International journal of STD & AIDS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Violeta J RodriguezDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0001-8543-2061
John M AbbamonteDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Manasi S ParrishDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Deborah L JonesDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-4106-8891
Stephen WeissDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Suresh PallikkuthDepartment of Microbiology and Immunology, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Michal ToborekDepartment of Biochemistry and Molecular Biology, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Maria L AlcaideDivision of Infectious Disease, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Dushyantha JayaweeraDivision of Infectious Disease, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Savita PahwaDepartment of Microbiology and Immunology, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Tatjana RundekDepartment of Neurology, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
Barry E HurwitzBehavioral Medicine Research Center, 5452University of Miami, Miami, FL, USA.
Mahendra KumarDepartment of Psychiatry and Behavioral Sciences, 12235University of Miami Miller School of Medicine, Miami, FL, USA.
University of Miami · US

Funding

Predictive Biomarkers of CVD Risk in Diverse HIV-1+ Cocaine AbusersR01DA034589 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JONES, DEBORAH LYNNE, KUMAR, MAHENDRA · 2014 to 2018
$2.8M
Revision and Validation of the Multidimensional Assessment of Parenting Scale (MAPS) in a Racially and Ethnically Diverse National SampleR36MH127838 · NIMH · UNIVERSITY OF GEORGIA · PI RODRIGUEZ, VIOLETA DE JESUS · 2021 to 2022
$86k
NIDA NIH HHS R01 DA034589NIMH NIH HHS R36 MH127838
6 · The paper itself

Abstract

backgroundTraditional risk factors associated with cardiovascular disease (CVD) include older age, smoking, poor diet, lack of exercise, obesity, high blood pressure, high cholesterol, and family history. Young-to-middle age adults (YMAA) are less often identified as being at risk of CVD, but traditional risk scores primarily target older adults and do not accurately estimate risk among YMAA.

methodsThis study examined biomarkers associated with CVD risk in YMAA in the context of HIV and cocaine use; risk was assessed by two methods: (1) a relative cardiovascular (CV) risk score that includes several factors and (2) carotid atherosclerotic plaque. Associations between CVD risk (CV risk score and carotid atherosclerotic plaque) and proinflammatory cytokines, markers of immune activation, HIV status, and cocaine use were examined. Participants (

resultsParticipants' mean age was 36 (SD = 9.53); half (51%) were men. Cocaine use and C-reactive protein were associated with greater relative CV risk scores, but no associations between biomarkers and CV risk emerged. Age and CV risk scores were associated with carotid atherosclerotic plaque, but biomarkers were not. HIV was not associated with CV risk scores or carotid atherosclerotic plaque.

conclusionsAmong YMAA, CV risk scores may help providers identify lifestyle changes needed among those at risk for CVD before more advanced risk (e.g., atherosclerotic plaque) is identified. Implications are discussed.

Indexed as

Cardiovascular DiseasesHIV InfectionsPlaque, AtheroscleroticAdultAgedBiomarkersHeart Disease Risk FactorsHumansMaleMiddle AgedRisk FactorsBiomarkerscardiovascular riskcocaine useHIV

Identifiers

PMID34727754
PMCPMC9356383
OpenAlexW3208533450

What OpenQuestion holds

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Read underepoch 390

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.