Evidence map›Paper›PMID 26488732›Full record

ArticleEmerging infectious diseases2015

Use of Whole-Genome Sequencing to Link Burkholderia pseudomallei from Air Sampling to Mediastinal Melioidosis, Australia.

Bart J Currie, Erin P Price, Mark Mayo, Mirjam Kaestli, Vanessa Theobald, Ian Harrington, Glenda Harrington, Derek S Sarovich

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Probable airborne transmission ofEmerging microbes & infections · 2023
    Article
  4. Clinical-radiological features and diagnostic modalities for mediastinal melioidosis.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Review
  5. Article
  6. Article
  7. Frontiers in veterinary science · 2022
    Article
  8. Article
  9. Using Land Runoff to Survey the Distribution and Genetic Diversity ofApplied and environmental microbiology · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Safer In Vitro Drug Screening Models for Melioidosis Therapy Development.The American journal of tropical medicine and hygiene · 2020
    Article
  15. Article
  16. Human Melioidosis.Clinical microbiology reviews · 2020
    Review
  17. Molecular Characteristics ofFrontiers in microbiology · 2020
    Article
  18. Article
  19. Article
  20. 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

8 authors.

Bart J Currie
Erin P Price
Mark Mayo
Mirjam Kaestli
Vanessa Theobald
Ian Harrington
Glenda Harrington
Derek S Sarovich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequency with which melioidosis results from inhalation rather than percutaneous inoculation or ingestion is unknown. We recovered Burkholderia pseudomallei from air samples at the residence of a patient with presumptive inhalational melioidosis and used whole-genome sequencing to link the environmental bacteria to B. pseudomallei recovered from the patient.

Indexed as

Air MicrobiologyDisease Transmission, InfectiousAustraliaBurkholderia pseudomalleiHumansMaleMelioidosisMiddle AgedSequence Analysis, DNAAustraliabacteriabiothreatBurkholderia pseudomalleigenomegram-negative bacterial infectionsmelioidosispathogen transmissionpneumoniazoonoses

Identifiers

PMID26488732
PMCPMC4622230
OpenAlexW2411950235

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.