Evidence map›Paper›PMID 37209673›Full record

ArticleEmerging infectious diseases2023

Increased Incidence of Legionellosis after Improved Diagnostic Methods, New Zealand, 2000-2020.

Frances F Graham, David Harte, Jane Zhang, Caroline Fyfe, Michael G Baker

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2023. 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
3.6field-weighted citation impact, top 7% 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, 12 citations in OpenAlex.

  1. Journal of clinical microbiology · 2026
    Article
  2. Article
  3. Seasonality and effects of climatic exposures on community-acquired Legionnaires' disease incidence, Italy, 2005 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  4. Article
  5. Article
  6. Infection and drug resistance · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Severe Legionnaires' disease.Annals of intensive care · 2024
    Review
  14. 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

5 authors.

Frances F Graham
David Harte
Jane Zhang
Caroline Fyfe
Michael G Baker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Legionellosis, notably Legionnaires' disease, is recognized globally and in New Zealand (Aotearoa) as a major cause of community-acquired pneumonia. We analyzed the temporal, geographic, and demographic epidemiology and microbiology of Legionnaires' disease in New Zealand by using notification and laboratory-based surveillance data for 2000‒2020. We used Poisson regression models to estimate incidence rate ratios and 95% CIs to compare demographic and organism trends over 2 time periods (2000-2009 and 2010-2020). The mean annual incidence rate increased from 1.6 cases/100,000 population for 2000-2009 to 3.9 cases/100,000 population for 2010-2020. This increase corresponded with a change in diagnostic testing from predominantly serology with some culture to almost entirely molecular methods using PCR. There was also a marked shift in the identified dominant causative organism, from Legionella pneumophila to L. longbeachae. Surveillance for legionellosis could be further enhanced by greater use of molecular typing of isolates.

Indexed as

Legionella pneumophilaLegionellosisLegionnaires' DiseaseHumansIncidenceNew Zealandbacteriaepidemiologyimproved diagnostic methodsincreased incidenceLegionellalegionellosisLegionnaires’ diseaseNew Zealand

Identifiers

PMID37209673
PMCPMC10202871
OpenAlexW4376639682

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.