Evidence map›Paper›PMID 24204216›Full record

ArticlePLoS medicine2013

Predicting patterns of long-term CD4 reconstitution in HIV-infected children starting antiretroviral therapy in sub-Saharan Africa: a cohort-based modelling study.

Marie-Quitterie Picat, Joanna Lewis, Victor Musiime, Andrew Prendergast, Kusum Nathoo, Addy Kekitiinwa, Patricia Nahirya Ntege, Diana M Gibb, Rodolphe Thiebaut, A Sarah Walker and 3 more

Abstract read
In one paragraph

Article in PLoS medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Trial
  5. A behavioral intervention for war-affected youth in Sierra Leone: a randomized controlled trial.Journal of the American Academy of Child and Adolescent Psychiatry · 2014
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evolution of CD4 T-Cell Count With Age in a Cohort of Young People Growing Up With Perinatally Acquired Human Immunodeficiency Virus.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Quantification of CD4 Recovery in Early-Treated Infants Living With HIV.Journal of acquired immune deficiency syndromes (1999) · 2022
    Article
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  19. Article
  20. Observational
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

13 authors.

Marie-Quitterie PicatInstitute of Child Health, University College London, London, United Kingdom ; Institut de Santé Publique, d'Épidémiologie et de Développement, Centre Inserm U897-Epidemiologie-Biostatistique, University of Bordeaux, Bordeaux, France ; Department of Medical Information, Bordeaux University Hospital, Bordeaux, France.
Joanna Lewis
Victor Musiime
Andrew Prendergast
Kusum Nathoo
Addy Kekitiinwa
Patricia Nahirya Ntege
Diana M Gibb
Rodolphe Thiebaut
A Sarah Walker
Nigel Klein
Robin Callard
ARROW Trial Team

Funding

Medical Research Council G1001190
6 · The paper itself

Abstract

backgroundLong-term immune reconstitution on antiretroviral therapy (ART) has important implications for HIV-infected children, who increasingly survive into adulthood. Children's response to ART differs from adults', and better descriptive and predictive models of reconstitution are needed to guide policy and direct research. We present statistical models characterising, qualitatively and quantitatively, patterns of long-term CD4 recovery. METHODS AND

findingsCD4 counts every 12 wk over a median (interquartile range) of 4.0 (3.7, 4.4) y in 1,206 HIV-infected children, aged 0.4-17.6 y, starting ART in the Antiretroviral Research for Watoto trial (ISRCTN 24791884) were analysed in an exploratory analysis supplementary to the trial's pre-specified outcomes. Most (n = 914; 76%) children's CD4 counts rose quickly on ART to a constant age-corrected level. Using nonlinear mixed-effects models, higher long-term CD4 counts were predicted for children starting ART younger, and with higher CD4 counts (p<0.001). These results suggest that current World Health Organization-recommended CD4 thresholds for starting ART in children ≥5 y will result in lower CD4 counts in older children when they become adults, such that vertically infected children who remain ART-naïve beyond 10 y of age are unlikely ever to normalise CD4 count, regardless of CD4 count at ART initiation. CD4 profiles with four qualitatively distinct reconstitution patterns were seen in the remaining 292 (24%) children. Study limitations included incomplete viral load data, and that the uncertainty in allocating children to distinct reconstitution groups was not modelled.

conclusionsAlthough younger ART-naïve children are at high risk of disease progression, they have good potential for achieving high CD4 counts on ART in later life provided ART is initiated following current World Health Organization (WHO), Paediatric European Network for Treatment of AIDS, or US Centers for Disease Control and Prevention guidelines. In contrast, to maximise CD4 reconstitution in treatment-naïve children >10 y, ART should ideally be considered even if there is a low risk of immediate disease progression. Further exploration of the immunological mechanisms for these CD4 recovery profiles should help guide management of paediatric HIV infection and optimise children's immunological development. Please see later in the article for the Editors' Summary.

Indexed as

CD4 Lymphocyte CountAdolescentAfrica South of the SaharaAnti-HIV AgentsChildChild, PreschoolFemaleHIV InfectionsHumansInfantInfant, NewbornMaleAnti-HIV Agents

Identifiers

PMID24204216
PMCPMC3812080

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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.