Evidence map›Paper›PMID 26501094›Full record

ArticleEBioMedicine2015

HIV-1 Reservoir Association with Immune Activation.

Alejandro Vallejo

Abstract readComment
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Alejandro VallejoLaboratory of Immunovirology, Department of Infectious Diseases, Institute Ramón y Cajal of Health Research (IRyCIS), Universitary Hospital Ramón y Cajal, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this issue of EBioMedicine, Ruggiero and colleagues describe immune activation biomarkers associated with the size of the HIV reservoir in a carefully designed cross-sectional study. The cohort consists of a homogeneous sample of HIV-1-infected patients with long-term plasma HIV-1 RNA suppression under antiretroviral treatment (ART). It is crucial to explore the potential utility of biomarkers that are easier (less labor intensive, less expensive) to measure than integrated HIV DNA load, in order to quickly and accurately quantify cellular reservoirs of HIV.

Indexed as

Viral LoadCD4-Positive T-LymphocytesCross-Sectional StudiesDNA, ViralHIV-1HIV InfectionsHumansDNA, ViralHIV-1 DNA load

Identifiers

PMID26501094
PMCPMC4588428

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.