ArticleCell host & microbe2013
Getting in front and behind the enemy lines to counter virus infection.
Article in Cell host & microbe, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Vaccinal antibodies: Fc antibody engineering to improve the antiviral antibody response and induce vaccine-like effects.Human vaccines & immunotherapeutics · 2021Review
- Fc receptors and their influence on efficacy of therapeutic antibodies for treatment of viral diseases.Expert review of anti-infective therapy · 2015Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How immune cells collaborate to clear a virus from the skin is not well understood. In this issue of Cell Host & Microbe,Hickman et al. (2013) show that spatially segregated Ly6G(+) monocytes and CD8(+) T cells act synergistically to clear vaccinia virus from a primary skin infection.
Identifiers
23414751What OpenQuestion holds
Registered trials
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.