Evidence map›Paper›PMID 24489776›Full record

ArticlePloS one2014

An evaluation of HIV elite controller definitions within a large seroconverter cohort collaboration.

Ashley D Olson, Laurence Meyer, Maria Prins, Rodolphe Thiebaut, Deepti Gurdasani, Marguerite Guiguet, Marie-Laure Chaix, Pauli Amornkul, Abdel Babiker, Manjinder S Sandhu and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Trial
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  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Research Toward a Cure for Perinatal HIV.Clinics in perinatology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Peripheral blood CD4Communications biology · 2022
    Article
  18. Article
  19. Review
  20. Approach to the management of paediatric HIV spontaneous controllers.Southern African journal of infectious diseases · 2022
    Article

2 more citing papers are in PubMed but not listed here.

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

12 authors.

Ashley D OlsonMedical Research Council Clinical Trials Unit at University College London, London, United Kingdom.
Laurence MeyerInstitut National de la Santé et de la Recherche Médicale U1018, Université Paris-Sud, le Kremlin-Bicêtre, France.
Maria PrinsAmsterdam Public Health Service, Amsterdam, Netherlands.
Rodolphe ThiebautInstitut National de la Santé et de la Recherche Médicale U897, Université Bordeaux Segalen, Bordeaux, France.
Deepti GurdasaniWellcome Trust Sanger Institute, Hinxton, United Kingdom ; University of Cambridge, Cambridge, United Kingdom.
Marguerite GuiguetInstitut National de la Santé et de la Recherche Médicale U943, Paris, France ; Université Pierre et Marie Curie S943, Paris, France.
Marie-Laure ChaixUniversité Paris Descartes, EA 3620, Hôpital Necker-Enfants Malades, Paris, France.
Pauli AmornkulInternational AIDS Vaccine Initiative, San Francisco, California, United States of America.
Abdel BabikerMedical Research Council Clinical Trials Unit at University College London, London, United Kingdom.
Manjinder S SandhuWellcome Trust Sanger Institute, Hinxton, United Kingdom ; University of Cambridge, Cambridge, United Kingdom.
Kholoud PorterMedical Research Council Clinical Trials Unit at University College London, London, United Kingdom.
CASCADE Collaboration in EuroCoord

Funding

Medical Research Council MC_U122886352Medical Research Council MC_UU_12023/15Medical Research Council MC_UU_12023/16
6 · The paper itself

Abstract

backgroundUnderstanding the mechanisms underlying viral control is highly relevant to vaccine studies and elite control (EC) of HIV infection. Although numerous definitions of EC exist, it is not clear which, if any, best identify this rare phenotype.

methodsWe assessed a number of EC definitions used in the literature using CASCADE data of 25,692 HIV seroconverters. We estimated proportions maintaining EC of total ART-naïve follow-up time, and disease progression, comparing to non-EC. We also examined HIV-RNA and CD4 values and CD4 slope during EC and beyond (while ART naïve).

resultsMost definitions classify ∼ 1% as ECs with median HIV-RNA 43-903 copies/ml and median CD4>500 cells/mm(3). Beyond EC status, median HIV-RNA levels remained low, although often detectable, and CD4 values high but with strong evidence of decline for all definitions. Median % ART-naïve time as EC was ≥ 92% although overlap between definitions was low. EC definitions with consecutive HIV-RNA measurements <75 copies/ml with follow-up ≥ six months, or with 90% of measurements <400 copies/ml over ≥ 10 year follow-up preformed best overall. Individuals thus defined were less likely to progress to endpoint (hazard ratios ranged from 12.5-19.0 for non-ECs compared to ECs).

conclusionsECs are rare, less likely to progress to clinical disease, but may eventually lose control. We suggest definitions requiring individuals to have consecutive undetectable HIV-RNA measurements for ≥ six months or otherwise with >90% of measurements <400 copies/ml over ≥ 10 years be used to define this phenotype.

Indexed as

Cooperative BehaviorAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCohort StudiesDemographyFollow-Up StudiesHIV InfectionsHIV SeropositivityHumansProportional Hazards ModelsRNA, ViralTime FactorsRNA, Viral

Identifiers

PMID24489776
PMCPMC3904947

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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.