Evidence map›Paper›PMID 27107536›Full record

ArticleDiagnostic microbiology and infectious disease2016

Simultaneous detection of Legionella species and L. anisa, L. bozemanii, L. longbeachae and L. micdadei using conserved primers and multiple probes in a multiplex real-time PCR assay.

Kristen E Cross, Jeffrey W Mercante, Alvaro J Benitez, Ellen W Brown, Maureen H Diaz, Jonas M Winchell

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. MixedInfectious disease reports · 2026
    Article
  2. Development of a PCR Assay for the Detection ofInfectious disease reports · 2025
    Article
  3. Case Report: First report ofFrontiers in immunology · 2025
    Article
  4. The Contribution ofInternational journal of environmental research and public health · 2024
    Article
  5. Review
  6. Article
  7. Inflammatory Patterns Associated withPathogens (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Cooccurrence of Five PathogenicPathogens (Basel, Switzerland) · 2021
    Article
  12. Article
  13. Article
  14. 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

6 authors at 2 institutions in 1 country.

Kristen E CrossPneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA.
Jeffrey W MercantePneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA.
Alvaro J BenitezPneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA.
Ellen W BrownPneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA.
Maureen H DiazPneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA.
Jonas M WinchellPneumonia Response and Surveillance Laboratory, Respiratory Diseases Branch, Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA, 30329, USA. Electronic address: zdx2@cdc.gov.
National Center for Immunization and Respiratory Diseases · USCenters for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Legionnaires' disease is a severe respiratory disease that is estimated to cause between 8,000 and 18,000 hospitalizations each year, though the exact burden is unknown due to under-utilization of diagnostic testing. Although Legionella pneumophila is the most common species detected in clinical cases (80-90%), other species have also been reported to cause disease. However, little is known about Legionnaires' disease caused by these non-pneumophila species. We designed a multiplex real-time PCR assay for detection of all Legionella spp. and simultaneous specific identification of four clinically-relevant Legionella species, L. anisa, L. bozemanii, L. longbeachae, and L. micdadei, using 5'-hydrolysis probe real-time PCR. The analytical sensitivity for detection of nucleic acid from each target species was ≤50fg per reaction. We demonstrated the utility of this assay in spiked human sputum specimens. This assay could serve as a tool for understanding the scope and impact of non-pneumophila Legionella species in human disease.

Indexed as

DNA PrimersHumansLegionellaLegionnaires' DiseaseMultiplex Polymerase Chain ReactionOligonucleotide ProbesReal-Time Polymerase Chain ReactionSensitivity and SpecificityDNA PrimersOligonucleotide ProbesLegionellaLegionella anisaLegionella bozemaniiLegionella longbeachaeLegionella micdadeiMultiplex real-time PCR

Identifiers

PMID27107536
PMCPMC5505572
OpenAlexW2321742949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.