Evidence map›Paper›PMID 27092530›Full record

ReviewVaccines2016

Burkholderia cepacia Complex Vaccines: Where Do We Go from here?

Gonzalo A Pradenas, Brittany N Ross, Alfredo G Torres

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Vaccines · 2024
    Review
  2. Article
  3. Druggable Allosteric Sites in β-Propeller Lectins.Angewandte Chemie (International ed. in English) · 2022
    Article
  4. Review
  5. Current Advances inCells · 2020
    Review
  6. Article
  7. Characterization of theVaccines · 2020
    Article
  8. Article
  9. Antimicrobial agents and chemotherapy · 2019
    Article
  10. Review
  11. Article
  12. Vaccines for the Prevention of Melioidosis and Glanders.Current tropical medicine reports · 2017
    Article
  13. 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

3 authors at 1 institution in 1 country.

Gonzalo A PradenasDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA. gopraden@utmb.edu.
Brittany N RossDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA. brross@utmb.edu.
Alfredo G TorresDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA. altorres@utmb.edu.
The University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burkholderia comprises a wide variety of environmental Gram-negative bacteria. Burkholderia cepacia complex (Bcc) includes several Burkholderia species that pose a health hazard as they are able to cause respiratory infections in patients with chronic granulomatous disease and cystic fibrosis. Due to the intrinsic resistance to a wide array of antibiotics and naturally occurring immune evasion strategies, treatment of Bcc infections often proves to be unsuccessful. To date, limited work related to vaccine development has been performed for Bcc pathogens. In this review, we have gathered key aspects of Bcc research that have been reported in recent years related to vaccine efforts, virulence, immune responses, and animal models, and use this information to inform the research community of areas of opportunity toward development of a viable Bcc vaccine.

Indexed as

Burkholderia cepacia complexcystic fibrosisvaccine

Identifiers

PMID27092530
PMCPMC4931627
OpenAlexW2339633241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.