Evidence map›Paper›PMID 29378657›Full record

ReviewRetrovirology2018

What do we measure when we measure cell-associated HIV RNA.

Alexander O Pasternak, Ben Berkhout

Abstract readReview
In one paragraph

Review in Retrovirology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Trial
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  4. Journal of virus eradication · 2026
    Article
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  7. Article
  8. Review
  9. Review
  10. Article
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  12. Review
  13. HIV-1 control in vivo is related to the number but not the fraction of infected cells with viral unspliced RNA.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

1 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

2 authors.

Alexander O PasternakLaboratory of Experimental Virology, Department of Medical Microbiology, Academic Medical Center of the University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands. a.o.pasternak@amc.uva.nl.ORCID 0000-0002-4097-4251
Ben BerkhoutLaboratory of Experimental Virology, Department of Medical Microbiology, Academic Medical Center of the University of Amsterdam, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.

Funding

Aids Fonds 2012025
6 · The paper itself

Abstract

Cell-associated (CA) HIV RNA has received much attention in recent years as a surrogate measure of the efficiency of HIV latency reversion and because it may provide an estimate of the viral reservoir size. This review provides an update on some recent insights in the biology and clinical utility of this biomarker. We discuss a number of important considerations to be taken into account when interpreting CA HIV RNA measurements, as well as different methods to measure this biomarker.

Indexed as

Virus LatencyAnti-HIV AgentsCD4-Positive T-LymphocytesDNA, ViralHIV-1HIV InfectionsHumansProvirusesRNA, ViralVirus ReplicationAnti-HIV AgentsDNA, ViralRNA, ViralAntiretroviral therapyCell-associated HIV RNAHIV cureHIV persistenceHIV reservoirVirological biomarker

Identifiers

PMID29378657
PMCPMC5789533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.