Evidence map›Paper›PMID 21479142›Full record

ArticleTherapeutics and clinical risk management2011

Broadening the use of antiretroviral therapy: the case for feline leukemia virus.

Willie M Greggs, Christine L Clouser, Steven E Patterson, Louis M Mansky

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

4 authors at 2 institutions in 2 countries.

Willie M GreggsInstitute for Molecular Virology.
Christine L Clouser
Steven E Patterson
Louis M Mansky
Health Center · USInstitute of Virology of the Slovak Academy of Sciences · SK

Funding

TRAINING GRANT IN MICROBIOLOGY/CANCER RESEARCHT32CA009138 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Scott M. Dehm · 1985 to 2026
$11.3M
Mechanisms of HIV-1 VariationR01GM056615 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MANSKY, LOUIS M. · 2003 to 2011
$2.6M
Comparative Medicine and Pathology TrainingT32RR018719 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI CARLSON, CATHY S. · 2003 to 2011
$2.2M
NCI NIH HHS T32 CA009138NCRR NIH HHS T32 RR018719NIGMS NIH HHS R01 GM056615
6 · The paper itself

Abstract

Antiretroviral drugs have saved and extended the lives of millions of individuals infected with HIV. The major classes of anti-HIV drugs include reverse transcriptase inhibitors, protease inhibitors, integrase inhibitors, and entry/fusion inhibitors. While antiretroviral drug regimens are not commonly used to treat other types of retroviral infections, there are instances where there is a perceived need for re-evaluation of the benefits of antiretroviral therapy. One case in point is that of feline leukemia virus (FeLV), an infection of companion felines. While vaccines exist to prevent FeLV infection and spread, they have not eliminated FeLV infection. For FeLV-infected felines and their human companions, antiretroviral therapy would be desirable and of practical importance if good options were available. Here, we discuss FeLV biology and current treatment options, and propose that there is a need for antiretroviral treatment options for FeLV infection. The comparative use and analysis of antiretroviral therapy can provide new insights into the mechanism of antiretroviral drug action.

Indexed as

antiviralcancerfelidgammaretroviruslymphocyteveterinary

Identifiers

PMID21479142
PMCPMC3071348
OpenAlexW2169796409

What OpenQuestion holds

Textmetadata
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.