Evidence map›Paper›PMID 29444987›Full record

ArticleCirculation2018

Cardiovascular Risk Prediction Functions Underestimate Risk in HIV Infection.

Virginia A Triant, Jeremiah Perez, Susan Regan, Joseph M Massaro, James B Meigs, Steven K Grinspoon, Ralph B D'Agostino

Abstract read
In one paragraph

Article in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
–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

126 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. REPRIEVE Analysis of New Cardiovascular Risk Calculators in HIV: Underpredicting Risk Means Preventing Fewer Heart Attacks.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Virginia A TriantDivision of General Internal Medicine (V.A.T, S.R., J.B.M.) vtriant@mgh.harvard.edu.
Jeremiah PerezMassachusetts General Hospital, Boston. Department of Mathematics and Statistics (J.P., R.B.D.).
Susan ReganDivision of General Internal Medicine (V.A.T, S.R., J.B.M.).
Joseph M MassaroDepartment of Biostatistics, School of Public Health (J.M.M.).
James B MeigsDivision of General Internal Medicine (V.A.T, S.R., J.B.M.).
Steven K GrinspoonProgram in Nutritional Metabolism (S.K.G.).
Ralph B D'AgostinoMassachusetts General Hospital, Boston. Department of Mathematics and Statistics (J.P., R.B.D.).

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Alessio Fasano · 1994 to 2026
$31.6M
Optimizing Cardiovascular Risk Prediction in HIVR01HL132786 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI D'AGOSTINO, RALPH B, TRIANT, VIRGINIA ATHENA · 2017 to 2020
$3.5M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Evaluation and development of cardiovascular risk prediction algorithms in HIVR56HL125029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2014 to 2014
$821k
NHLBI NIH HHS R01 HL132786NHLBI NIH HHS R56 HL125029NIDDK NIH HHS K24 DK080140NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) risk is elevated in HIV-infected individuals, with contributions from both traditional and nontraditional risk factors. The accuracy of established CVD risk prediction functions in HIV is uncertain. We sought to assess the performance of 3 established CVD risk prediction functions in a longitudinal cohort of HIV-infected men.

methodsThe FHS (Framingham Heart Study) functions for hard coronary heart disease (FHS CHD) and atherosclerotic CVD (FHS ASCVD) and the American College of Cardiology/American Heart Association ASCVD function were applied to the Partners HIV cohort. Risk scores were calculated between January 1, 2006, and December 31, 2008. Outcomes included CHD (myocardial infarction or coronary death) for the FHS CHD function and ASCVD (myocardial infarction, stroke, or coronary death) for the FHS ASCVD and American College of Cardiology/American Heart Association ASCVD functions. We investigated the accuracy of CVD risk prediction for each function when applied to the HIV cohort using comparison of Cox regression coefficients, discrimination, and calibration.

resultsThe HIV cohort was comprised of 1272 men followed for a median of 4.4 years. There were 78 (6.1%) ASCVD events; the 5-year incidence rate was 16.4 per 1000 person-years. Discrimination was moderate to poor as indicated by the low

conclusionsCardiovascular risk prediction functions developed for use in the general population are inaccurate in HIV infection and systematically underestimate risk in a cohort of HIV-infected men. Development of tailored CVD risk prediction functions incorporating traditional CVD risk factors and HIV-specific factors is likely to result in more accurate risk estimation to guide preventative CVD care.

Indexed as

AdultAgedAnti-Retroviral AgentsBlood PressureCardiovascular DiseasesCholesterol, HDLHIV InfectionsHumansIncidenceLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsRisk FactorsAnti-Retroviral AgentsCholesterol, HDLcardiovascularcoronaryHIVmyocardial infarctionrisk predictionrisk stratificationstroke

Identifiers

PMID29444987
PMCPMC6157923

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.