Evidence mapPaperPMID 34414654Full record

ArticleHIV medicine2021

The data-collection on adverse effects of anti-HIV drugs (D:A:D) model for predicting cardiovascular events: External validation in a diverse cohort of people living with HIV.

Ifedioranma Anikpo, Afiba Manza-A Agovi, Matthew J Cvitanovich, Frank Lonergan, Marc Johnson, Rohit P Ojha

Open access · hybridAbstract read
In one paragraph

Article in HIV medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Ifedioranma AnikpoCenter for Epidemiology & Healthcare Delivery Research, JPS Health Network, Fort Worth, TX, USA.ORCID 0000-0001-9938-2069
Afiba Manza-A AgoviCenter for Epidemiology & Healthcare Delivery Research, JPS Health Network, Fort Worth, TX, USA.ORCID 0000-0001-7995-8358
Matthew J CvitanovichCenter for Epidemiology & Healthcare Delivery Research, JPS Health Network, Fort Worth, TX, USA.ORCID 0000-0002-2121-0141
Frank LonerganTrue Worth Medical Home, JPS Health Network, Fort Worth, TX, USA.
Marc JohnsonHealing Wings Clinic, JPS Health Network, Fort Worth, TX, USA.
Rohit P OjhaCenter for Epidemiology & Healthcare Delivery Research, JPS Health Network, Fort Worth, TX, USA.ORCID 0000-0003-0595-8990
JPS Health Network · USUniversity of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLittle is known about the external validity of the Data-collection on Adverse Effects of Anti-HIV Drugs (D:A:D) model for predicting cardiovascular disease (CVD) risk among people living with HIV (PLWH). We aimed to evaluate the performance of the updated D:A:D model for 5-year CVD risk in a diverse group of PLWH engaged in HIV care.

methodsWe used data from an institutional HIV registry, which includes PLWH engaged in care at a safety-net HIV clinic. Eligible individuals had a baseline clinical encounter between 1 January 2013 and 31 December 2014, with follow-up through to 31 December 2019. We estimated 5-year predicted risks of CVD as a function of the prognostic index and baseline survival of the D:A:D model, which were used to assess model discrimination (C-index), calibration and net benefit.

resultsOur evaluable population comprised 1029 PLWH, of whom 30% were female, 50% were non-Hispanic black, and median age was 45 years. The C-index was 0.70 [95% confidence limits (CL): 0.64-0.75]. The predicted 5-year CVD risk was 3.0% and the observed 5-year risk was 8.9% (expected/observed ratio = 0.33, 95% CL: 0.26-0.54). The model had a greater net benefit than treating all or treating none at a risk threshold of 10%.

conclusionsThe D:A:D model was miscalibrated for CVD risk among PLWH engaged in HIV care at an urban safety-net HIV clinic, which may be related to differences in case-mix and baseline CVD risk. Nevertheless, the HIV D:A:D model may be useful for decisions about CVD intervention for high-risk patients.

Indexed as

Anti-HIV AgentsCardiovascular DiseasesHIV InfectionsCohort StudiesFemaleHumansMiddle AgedRisk AssessmentAnti-HIV Agentscardiovascular diseaseclinical epidemiologyexternal validationHIVprediction model

Identifiers

PMID34414654
PMCPMC9290794
OpenAlexW3194175981

What Socratic holds

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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 Socratic graph.