Evidence map›Paper›PMID 26830351›Full record

ArticleAIDS research and human retroviruses2016

Prognostic Value of HIV-1 RNA on CD4 Trajectories and Disease Progression Among Antiretroviral-Naive HIV-Infected Adults in Botswana: A Joint Modeling Analysis.

Mansour Farahani, Vladimir Novitsky, Rui Wang, Hermann Bussmann, Sikhulile Moyo, Rosemary M Musonda, Themba Moeti, Joseph M Makhema, Max Essex, Richard Marlink

Open access · greenAbstract read
In one paragraph

Article in AIDS research and human retroviruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 12 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

10 authors at 2 institutions in 2 countries.

Mansour Farahani1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Vladimir Novitsky1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Rui Wang1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Hermann Bussmann1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Sikhulile Moyo2 Botswana Harvard AIDS Institute , Gaborone, Botswana .
Rosemary M Musonda2 Botswana Harvard AIDS Institute , Gaborone, Botswana .
Themba Moeti4 Health Systems Trust , Midrand, South Africa .
Joseph M Makhema1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Max Essex1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Richard Marlink1 Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health , Boston, Massachusetts.
Botswana Harvard AIDS Institute Partnership · BWHarvard University · US

Funding

Methods to Advance the HIV Prevention Research AgendaR37AI051164 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI DEGRUTTOLA, VICTOR GERARD · 2012 to 2019
$3.3M
NIAID NIH HHS R37 AI051164
6 · The paper itself

Abstract

Although HIV-1 RNA levels are measured at the time of initial diagnosis, the results are not used for the clinical follow-up of the patients. This study evaluates the prognostic value of the baseline HIV-1 RNA levels (above or below 10,000 copies/ml) on rate of disease progression, among antiretroviral therapy (ART)-naive patients in Botswana. A prospective cohort of 436 HIV-infected ART-naive adults with baseline CD4 > 400 cells/mm(3) were followed quarterly for 5 years in an urban clinic in Botswana. Baseline HIV-1 RNA levels and longitudinal CD4(+) T-cell count data were analyzed, using mixed-effects regression jointly modeled with the times to a composite endpoint defined by AIDS-defining clinical conditions or death. During 1,547 person-years (PYs) follow-up time, 106 individuals became eligible for ART initiation (incidence rate: 0.07 PYs) and 6 participants died of AIDS-related illness. There were 203 (47%) individuals with baseline HIV-1 RNA <10,000 copies/ml and 233 (53%) individuals with baseline RNA >10,000 copies/ml. The slope of the predicted CD4 trajectory for individuals with baseline HIV-1 RNA >10,000 copies/ml is 30% steeper than that for those with baseline RNA <10,000. The hazard of reaching the composite endpoint for the individuals with baseline HIV-1 RNA >10,000 copies/ml was 2.3 (95% confidence interval: 1.5-3.0) times higher than that for those with baseline HIV-1 RNA <10,000 copies/ml. CD4 decline in individuals with HIV-1 RNA >10,000 copies/ml is much faster than that in those with RNA <10,000. The elevated HIV-1 RNA can be used as a marker to identify individuals at risk of faster disease progression.

Indexed as

CD4 Lymphocyte CountDisease ProgressionViral LoadAdultBotswanaFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedPrognosisProspective StudiesRNA, ViralYoung AdultRNA, Viral

Identifiers

PMID26830351
PMCPMC4892219
OpenAlexW2288731114

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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.