Evidence map›Paper›PMID 24885916›Full record

ArticleBMC infectious diseases2014

A spatial epidemiological analysis of nontuberculous mycobacterial infections in Queensland, Australia.

Michael P Chou, Archie C A Clements, Rachel M Thomson

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
4.5field-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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
  2. Pooled it
  3. Guideline
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Infection by Clonally RelatedAmerican journal of respiratory and critical care medicine · 2025
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Identification of Nontuberculous Mycobacteria in Drinking Water in Cali, Colombia.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Nontuberculous Mycobacterial Disease and Molybdenum in Colorado Watersheds.International journal of environmental research and public health · 2020
    Article
  19. Pulmonary non-tuberculous mycobacterial infections: current state and future management.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Review
  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

3 authors at 2 institutions in 1 country.

Michael P ChouUniversity of Queensland, Infectious Disease Epidemiology Unit, School of Population Health, Brisbane, Australia. michael.chou@uq.net.au.
Archie C A Clements
Rachel M Thomson
University of Queensland · AUGreenslopes Private Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiology of infections with nontuberculous mycobacteria (NTM) has been changing and the incidence has been increasing in some settings. The main route of transmission to humans is considered to be from the environment. We aimed to describe spatial clusters of cases of NTM infections and to identify associated climatic, environmental and socio-economic variables.

methodsNTM data were obtained from the Queensland Mycobacterial Reference Laboratory for the period 2001-2011. A Bayesian spatial conditional autoregressive model was constructed at the postcode level, with covariates including soil variables, maximum, mean and minimum rainfall and temperature, income (proportion of population earning < $32,000 and < $52,000) and land use category.

resultsSignificant clusters of NTM infection were identified in the central Queensland region overlying the Surat sub-division of the Great Artesian Basin, as well as in the lower North Queensland Local Government Area known as the Whitsunday region. Our models estimated an expected increase of 21% per percentage increase of population earning < $52,000 (95% CI 9-34%) and an expected decrease of 13% for every metre increase of average topsoil depth for risk of Mycobacterium intracellulare infection (95% CI -3 - -22%). There was an estimated increase of 79% per mg/m3 increase of soil bulk density (95% CI 26-156%) and 19% decrease for every percentage increase in population earning < $32,000 for risk of M. kansasii infection (95% CI -3 - -49%).

conclusionsThere were distinct spatial clusters of M. kansasii, M. intracellulare and M. abscessus infections in Queensland, and a number of socio-ecological, economic and environmental factors were found to be associated with NTM infection risk.

Indexed as

Bayes TheoremCommunicable DiseasesEnvironmentHumansIncidenceIncomeMycobacterium avium-intracellulare InfectionMycobacterium Infections, NontuberculousNontuberculous MycobacteriaQueenslandSoilSoil

Identifiers

PMID24885916
PMCPMC4049494
OpenAlexW2124445346

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.