Evidence map›Paper›PMID 23966485›Full record

ArticleJournal of clinical microbiology2013

Detection of influenza H7N9 virus: all molecular tests are not equal.

Todd F Hatchette, Steven J Drews, Nathalie Bastien, Yan Li, Gregory German, Nick Antonishyn, Hugues Charest, Tony Mazzulli, Kevin Fonseca, Mel Krajden and 3 more

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Surveillance forMicrobiology spectrum · 2025
    Article
  3. Hunting for mpox (monkeypox) mimickers: Use of the Biofire meningitis/encephalitis panel on lesion swabs to support alternative viral diagnoses.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2023
    Article
  4. Diagnosis of COVID-19: facts and challenges.New microbes and new infections · 2020
    Review
  5. Real-time PCR-based SARS-CoV-2 detection in Canadian laboratories.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2020
    Article
  6. Article
  7. Detection of enterovirus D68 in Canadian laboratories.Journal of clinical microbiology · 2015
    Article
  8. Article
  9. Article
  10. 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

13 authors at 6 institutions in 1 country.

Todd F HatchetteDivision of Microbiology, Department of Pathology and Laboratory Medicine, Capital District Health Authority (CDHA), Halifax, Nova Scotia, Canada.
Steven J Drews
Nathalie Bastien
Yan Li
Gregory German
Nick Antonishyn
Hugues Charest
Tony Mazzulli
Kevin Fonseca
Mel Krajden
Martin Petric
Kerry Dust
Jason J LeBlanc
Dalhousie University · CAUniversity of British Columbia · CAUniversity of Calgary · CAInstitut National de Santé Publique du Québec · CAMinistry of Health · CAMount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent emergence of influenza A virus (H7N9) emphasizes the need for its rapid detection. While commercial nucleic acid amplification tests (NAATs) are commonly used to detect seasonal influenza virus, this study demonstrated that the analytical sensitivity of commercial assays is highly variable compared to that of CDC-based in-house NAATs for the detection of H7N9.

Indexed as

HumansInfluenza A Virus, H7N9 SubtypeInfluenza, HumanMolecular Diagnostic TechniquesSensitivity and SpecificityVirology

Identifiers

PMID23966485
PMCPMC3889775
OpenAlexW2168042077

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.