Evidence map›Paper›PMID 29652762›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2018

Distribution and Performance of Cardiovascular Risk Scores in a Mixed Population of HIV-Infected and Community-Based HIV-Uninfected Individuals in Uganda.

Anthony N Muiru, Prossy Bibangambah, Linda Hemphill, Ruth Sentongo, June-Ho Kim, Virginia A Triant, David R Bangsberg, Alexander C Tsai, Jeffrey N Martin, Jessica E Haberer and 5 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Anthony N MuiruDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Prossy BibangambahFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Linda HemphillDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Ruth SentongoFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
June-Ho KimDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Virginia A TriantDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
David R BangsbergDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Alexander C TsaiFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Jeffrey N MartinEpidemiology and Biostatistics, University of California, San Francisco, CA.
Jessica E HabererDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Yap BoumEpicentre Research Base, Mbarara, Uganda.
Jorge PlutzkyDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Peter W HuntEpidemiology and Biostatistics, University of California, San Francisco, CA.
Samson OkelloFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Mark J SiednerDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Harvard University · USMbarara University of Science and Technology · UGUniversity of California, San Francisco · USMassachusetts General Hospital · USEpicentre Uganda · UG

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
TB PREVENTION AND HIV IN THE HOMELESS--AN INTERVENTIONR01MH054907 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BANGSBERG, DAVID ROY · 1995 to 2014
$20.7M
Optimizing Cardiovascular Risk Prediction in HIVR01HL132786 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI D'AGOSTINO, RALPH B, TRIANT, VIRGINIA ATHENA · 2017 to 2020
$3.5M
Behavioral Aspects of Low-cost Medical Devices to Improve HIV CareK23MH099916 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2013 to 2017
$917k
Polycyclic aromatic hydrocarbons exposure and dietary risk of Esophageal squamous cell carcinoma in UgandaK43TW010715 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI OKELLO, SAMSON · 2017 to 2021
$456k
Epidemiology of atherosclerosis among older-age individuals with HIV in UgandaR21HL124712 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2014 to 2015
$332k
FIC NIH HHS K43 TW010715NHLBI NIH HHS R01 HL132786NHLBI NIH HHS R21 HL124712NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI060354NIMH NIH HHS K23 MH099916NIMH NIH HHS R01 MH054907
6 · The paper itself

Abstract

backgroundThe utility and validity of cardiovascular diseases (CVD) risk scores are not well studied in sub-Saharan Africa. We compared and correlated CVD risk scores with carotid intima media thickness (c-IMT) among HIV-infected and uninfected people in Uganda.

methodsWe first calculated CVD risk using the (1) Framingham laboratory-based score; (2) Framingham nonlaboratory score (FRS-BMI); (3) Reynolds risk score; (4) American College of Cardiology and American Heart Association score; and (5) the Data collection on Adverse Effects of Anti-HIV Drugs score. We then compared absolute risk scores and risk categories across each score using Pearson correlation and kappa statistics, respectively. Finally, we fit linear regression models to estimate the strength of association between each risk score and c-IMT.

resultsOf 205 participants, half were females and median age was 49 years [interquartile range (IQR) 46-53]. Median CD4 count was 430 cells/mm (IQR 334-546), with median 7 years of antiretroviral therapy exposure (IQR 6.4-7.5). HIV-uninfected participants had a higher median systolic blood pressure (121 vs. 110 mm Hg), prevalent current smokers (18% vs. 4%, P = 0.001), higher median CVD risk scores (P < 0.003), and greater c-IMT (0.68 vs. 0.63, P = 0.003). Overall, FRS-BMI was highly correlated with other risk scores (all rho >0.80). In linear regression models, we found significant correlations between increasing CVD risk and higher c-IMT (P < 0.01 in all models).

conclusionsIn this cross-sectional study from Uganda, the FRS-BMI correlated well with standard risk scores and c-IMT. HIV-uninfected individuals had higher risk scores than HIV-infected individuals, and the difference seemed to be driven by modifiable factors.

Indexed as

Decision Support TechniquesAdultAgedAged, 80 and overCardiovascular DiseasesCarotid ArteriesCarotid Intima-Media ThicknessCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedRisk AssessmentUganda

Identifiers

PMID29652762
PMCPMC6019157
OpenAlexW2797128487

What OpenQuestion holds

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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.