Evidence map›Paper›PMID 23686537›Full record

ReviewMolecular diagnosis & therapy2013

Evolving gene targets and technology in influenza detection.

Anthony P Malanoski, Baochuan Lin

Abstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2013. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Detection and Prevention of Virus Infection.Advances in experimental medicine and biology · 2022
    Article
  4. Cross species influenza: emerging zoonosis.Asian Pacific journal of tropical disease · 2014
    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.

Anthony P MalanoskiCenter for Bio/Molecular Science and Engineering, U. S. Naval Research Laboratory, 4555 Overlook Avenue, S. W., Code 6900, Washington, DC, 20375, USA.
Baochuan Lin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza viruses cause recurring epidemic outbreaks every year associated with high morbidity and mortality. Despite extensive research and surveillance efforts to control influenza outbreaks, the primary mitigation treatment for influenza is the development of yearly vaccine mixes targeted for the most prevalent virus strains. Consequently, the focus of many detection technologies has evolved toward accurate identification of subtype and understanding the evolution and molecular determinants of novel and pathogenic forms of influenza. The recent availability of potential antiviral treatments are only effective if rapid and accurate diagnostic tests for influenza epidemic management are available; thus, early detection of influenza infection is still important for prevention, containment, patient management, and infection control. This review discusses the current and emerging technologies for detection and strain identification of influenza virus and their specific gene targets, as well as their implications in patient management.

Indexed as

Genes, ViralDisease OutbreaksEpidemiological MonitoringHumansInfluenza, HumanInfluenza VaccinesOrthomyxoviridaeReagent Kits, DiagnosticInfluenza VaccinesReagent Kits, Diagnostic

Identifiers

PMID23686537
PMCPMC7100497

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.