Evidence map›Paper›PMID 23036045›Full record

ArticleHIV medicine2013

Ageing and long-term CD4 cell count trends in HIV-positive patients with 5 years or more combination antiretroviral therapy experience.

S T Wright, K Petoumenos, M Boyd, A Carr, S Downing, C C O'Connor, M Grotowski, M G Law, Australian HIV Observational Database study group

Abstract read
In one paragraph

Article in HIV medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

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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

9 authors.

S T WrightThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia. swright@kirby.unsw.edu.au
K Petoumenos
M Boyd
A Carr
S Downing
C C O'Connor
M Grotowski
M G Law
Australian HIV Observational Database study group

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907NIAID NIH HHS U01-AI069907
6 · The paper itself

Abstract

objectivesThe aim of this study was to describe the long-term changes in CD4 cell counts beyond 5 years of combination antiretroviral therapy (cART). If natural ageing leads to a long-term decline in the immune system via low-grade chronic immune activation/inflammation, then one might expect to see a greater or earlier decline in CD4 counts in older HIV-positive patients with increasing duration of cART.

methodsRetrospective and prospective data were examined from long-term virologically stable HIV-positive adults from the Australian HIV Observational Database. We estimated mean CD4 cell count changes following the completion of 5 years of cART using linear mixed models.

resultsA total of 37 916 CD4 measurements were observed for 892 patients over a combined total of 9753 patient-years. Older patients (> 50 years old) at cART initiation had estimated mean (95% confidence interval) changes in CD4 counts by year-5 CD4 count strata (< 500, 500-750 and > 750 cells/μL) of 14 (7 to 21), 3 (-5 to 11) and -6 (-17 to 4) cells/μL/year. Of the CD4 cell count rates of change estimated, none were indicative of long-term declines in CD4 cell counts.

conclusionsOur results suggest that duration of cART and increasing age do not result in decreasing mean changes in CD4 cell counts for long-term virologically suppressed patients, indicating that the level of immune recovery achieved during the first 5 years of treatment is sustained through long-term cART.

Indexed as

Antiretroviral Therapy, Highly ActiveCD4-Positive T-LymphocytesAdultAgingCD4 Lymphocyte CountDrug Therapy, CombinationFemaleHIV InfectionsHumansLinear ModelsMaleMiddle AgedProspective StudiesRetrospective Studies

Identifiers

PMID23036045
PMCPMC3556360

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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.