Evidence map›Paper›PMID 21470444›Full record

ArticleEmerging infectious diseases2011

Legionella longbeachae and legionellosis.

Harriet Whiley, Richard Bentham

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Genomic divergence and phenotypic heterogeneity ofApplied and environmental microbiology · 2026
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  4. Journal of clinical microbiology · 2026
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  7. Global climate gradients structure soilbioRxiv : the preprint server for biology · 2026
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  10. Infection and drug resistance · 2026
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  13. Journal of bacteriology · 2024
    Review
  14. Small molecule communication ofMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  15. Article
  16. Characterisation ofMicroorganisms · 2024
    Article
  17. Review
  18. Review
  19. Article
  20. Eat or Be Eaten: Strategies Used byInfection and immunity · 2023
    Review

13 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Harriet WhileyFlinders University, Adelaide, South Australia, Australia.
Richard Bentham
Flinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reported cases of legionellosis attributable to Legionella longbeachae infection have increased worldwide. In Australia and New Zealand, L. longbeachae has been a known cause of legionellosis since the late 1980s. All cases for which a source was confirmed were associated with potting mixes and composts. Unlike the situation with other Legionella spp., L. longbeachae-contaminated water systems in the built environment that cause disease have not been reported. Spatially and temporally linked outbreaks of legionellosis associated with this organism also have not been reported. Sporadic cases of disease seem to be limited to persons who have had direct contact with potting soil or compost. Long-distance travel of the organism resulting in infection has not been reported. These factors indicate emergence of an agent of legionellosis that differs in etiology from other species and possibly in route of disease transmission.

Indexed as

HumansLegionella longbeachaeLegionellosisPrevalenceSoil Microbiology

Identifiers

PMID21470444
PMCPMC3377390
OpenAlexW1989765615

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.