Evidence map›Paper›PMID 21966049›Full record

ReviewThe Yale journal of biology and medicine2011

RNA-based gene therapy for the treatment and prevention of HIV: from bench to bedside.

Skye J Zeller, Priti Kumar

Open access · greenAbstract readReview
In one paragraph

Review in The Yale journal of biology and medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Beyond traditional pharmacology: new tools and approaches.British journal of pharmacology · 2015
    Review
  8. Targeting HIV transcription: the quest for a functional cure.Current topics in microbiology and immunology · 2015
    Review
  9. Targeting CCR5 for anti-HIV research.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
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 at 1 institution in 1 country.

Skye J ZellerDepartment of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut 06511, USA.
Priti Kumar
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene therapy is considered a feasible approach for the treatment and prevention of HIV/AIDS. Targeting both viral genes and host dependency factors can interfere with the viral lifecycle and prevent viral replication. A number of approaches have been taken to target these genes, including ribozymes, aptamers, and RNAi based therapies. A number of these therapies are now beginning to make their way into clinical trials and providing proof of principle that gene therapy is a safe and realistic option for treating HIV. Here, we focus on those therapies that have progressed along the pipeline to preclinical and clinical testing.

Indexed as

Antigens, CD34Anti-HIV AgentsAntiretroviral Therapy, Highly ActiveAptamers, NucleotideCD4-Positive T-LymphocytesClinical Trials as TopicGenetic TherapyGenetic VectorsHIVHIV InfectionsHIV Long Terminal RepeatHumansRNA, CatalyticRNA InterferenceRNA, Small InterferingVirus ReplicationAntigens, CD34Anti-HIV AgentsAptamers, Nucleotidehairpin ribozymeRNA, CatalyticRNA, Small Interferingaptamer HIVClinical Trial HIVGene therapy HIVribozyme HIVRNAi HIV

Identifiers

PMID21966049
PMCPMC3178861
OpenAlexW2231297089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.