Evidence map›Paper›PMID 29112958›Full record

Observational studyPLoS medicine2017

Cardiovascular disease (CVD) and chronic kidney disease (CKD) event rates in HIV-positive persons at high predicted CVD and CKD risk: A prospective analysis of the D:A:D observational study.

Mark A Boyd, Amanda Mocroft, Lene Ryom, Antonella d'Arminio Monforte, Caroline Sabin, Wafaa M El-Sadr, Camilla Ingrid Hatleberg, Stephane De Wit, Rainer Weber, Eric Fontas and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  12. NASH in HIV.Current HIV/AIDS reports · 2020
    Review
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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 10 institutions in 9 countries.

Mark A BoydKirby Institute, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0002-6848-3307
Amanda MocroftDepartment of Infection and Population Health, University College London, London, United Kingdom.
Lene RyomCentre of Excellence for Health, Immunity and Infections, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Antonella d'Arminio MonforteDipartimento di Scienze della Salute, Clinica di Malattie Infettive e Tropicali, Azienda Ospedaliera-Polo Universitario San Paolo, Milan, Italy.ORCID http://orcid.org/0000-0003-0073-1789
Caroline SabinDepartment of Infection and Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-5173-2760
Wafaa M El-SadrICAP at Columbia University, New York, New York, United States of America.ORCID http://orcid.org/0000-0003-3735-9781
Camilla Ingrid HatlebergCentre of Excellence for Health, Immunity and Infections, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Stephane De WitDivision of Infectious Diseases, Saint-Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium.ORCID http://orcid.org/0000-0002-8079-6170
Rainer WeberDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Eric FontasDepartment of Public Health, Nice University Hospital, Nice, France.
Andrew PhillipsDepartment of Infection and Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-2384-4807
Fabrice BonnetCentre Hospitalier Universitaire de Bordeaux, Université de Bordeaux, Bordeaux, France.
Peter ReissDepartment of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Jens LundgrenCentre of Excellence for Health, Immunity and Infections, Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Matthew LawKirby Institute, University of New South Wales, Sydney, Australia.
University College London · GBUniversity of Copenhagen · DKUNSW Sydney · AUAmsterdam UMC Location University of Amsterdam · NLICAP Global HealthOspedale San Paolo · ITUniversité Côte d'Azur · FRUniversité de Bordeaux · FRUniversité Libre de Bruxelles · BEUniversity of Zurich · CH

Funding

COMMUNITY PROGRAMS FOR CLINICAL RESEARCH ON AIDSU01AI046362 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI GORDIN, FRED M · 2000 to 2006
$75.9M
The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
TERRY BEIRN COMMUNITY PROGRAMS FOR CLINICAL RESEARCH ONU01AI042170 · NIAID · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEATON, JAMES DENNIS · 1997 to 2006
$23.2M
NIAID NIH HHS U01 AI042170NIAID NIH HHS U01 AI046362NIAID NIH HHS U01 AI069907
6 · The paper itself

Abstract

backgroundThe Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study has developed predictive risk scores for cardiovascular disease (CVD) and chronic kidney disease (CKD, defined as confirmed estimated glomerular filtration rate [eGFR] ≤ 60 ml/min/1.73 m2) events in HIV-positive people. We hypothesized that participants in D:A:D at high (>5%) predicted risk for both CVD and CKD would be at even greater risk for CVD and CKD events. METHODS AND

findingsWe included all participants with complete risk factor (covariate) data, baseline eGFR > 60 ml/min/1.73 m2, and a confirmed (>3 months apart) eGFR < 60 ml/min/1.73 m2 thereafter to calculate CVD and CKD risk scores. We calculated CVD and CKD event rates by predicted 5-year CVD and CKD risk groups (≤1%, >1%-5%, >5%) and fitted Poisson models to assess whether CVD and CKD risk group effects were multiplicative. A total of 27,215 participants contributed 202,034 person-years of follow-up: 74% male, median (IQR) age 42 (36, 49) years, median (IQR) baseline year of follow-up 2005 (2004, 2008). D:A:D risk equations predicted 3,560 (13.1%) participants at high CVD risk, 4,996 (18.4%) participants at high CKD risk, and 1,585 (5.8%) participants at both high CKD and high CVD risk. CVD and CKD event rates by predicted risk group were multiplicative. Participants at high CVD risk had a 5.63-fold (95% CI 4.47, 7.09, p < 0.001) increase in CKD events compared to those at low risk; participants at high CKD risk had a 1.31-fold (95% CI 1.09, 1.56, p = 0.005) increase in CVD events compared to those at low risk. Participants' CVD and CKD risk groups had multiplicative predictive effects, with no evidence of an interaction (p = 0.329 and p = 0.291 for CKD and CVD, respectively). The main study limitation is the difference in the ascertainment of the clinically defined CVD endpoints and the laboratory-defined CKD endpoints.

conclusionsWe found that people at high predicted risk for both CVD and CKD have substantially greater risks for both CVD and CKD events compared with those at low predicted risk for both outcomes, and compared to those at high predicted risk for only CVD or CKD events. This suggests that CVD and CKD risk in HIV-positive persons should be assessed together. The results further encourage clinicians to prioritise addressing modifiable risks for CVD and CKD in HIV-positive people.

Indexed as

AdultCardiovascular DiseasesFemaleGlomerular Filtration RateHIV SeropositivityHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID29112958
PMCPMC5675358
OpenAlexW2767226793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.