Evidence map›Paper›PMID 28594574›Full record

ArticleAnnals of the American Thoracic Society2017

A Geospatial Epidemiologic Analysis of Nontuberculous Mycobacterial Infection: An Ecological Study in Colorado.

Ettie M Lipner, David Knox, Joshua French, Jordan Rudman, Michael Strong, James L Crooks

Abstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Genomic epidemiology ofERJ open research · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Molecular Epidemiologic Investigation ofAnnals of the American Thoracic Society · 2023
    Article
  8. Article
  9. Article
  10. Population Genomics ofAnnals of the American Thoracic Society · 2021
    Article
  11. Influence of transportation network on transmission heterogeneity of COVID-19 in China.Transportation research. Part C, Emerging technologies · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Nontuberculous Mycobacterial Disease and Molybdenum in Colorado Watersheds.International journal of environmental research and public health · 2020
    Article
  17. Article
  18. Revisiting John Snow to Meet the Challenge of Nontuberculous Mycobacterial Lung Disease.International journal of environmental research and public health · 2019
    Review
  19. 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

6 authors.

Ettie M Lipner1 Center for Genes, Environment and Health and.ORCID http://orcid.org/0000-0002-3805-8270
David Knox3 Department of Computer Science, University of Colorado Boulder, Boulder, Colorado.
Joshua French4 Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, Colorado.
Jordan Rudman5 Department of Molecular Biology, Colorado College, Colorado Springs, Colorado; and.
Michael Strong1 Center for Genes, Environment and Health and.
James L Crooks6 Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado.

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
Multiple testing methods for random fields and high-dimensional dependent dataR01CA157528 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHWARTZMAN, ARMIN · 2012 to 2017
$1.3M
NCI NIH HHS R01 CA157528NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

rationaleNontuberculous mycobacteria (NTM) are ubiquitous environmental microorganisms. Infection is thought to result primarily from exposure to soil and/or water sources. NTM disease prevalence varies greatly by geographic region, but the geospatial factors influencing this variation remain unclear.

objectivesTo identify sociodemographic and environmental ecological risk factors associated with NTM infection and disease in Colorado.

methodsWe conducted an ecological study, combining data from patients with a diagnosis of NTM disease from National Jewish Health's electronic medical record database and ZIP code-level sociodemographic and environmental exposure data obtained from the U.S. Geological Survey, the U.S. Department of Agriculture, and the U.S. Census Bureau. We used spatial scan methods to identify high-risk clusters of NTM disease in Colorado. Ecological risk factors for disease were assessed using Bayesian generalized linear models assuming Poisson-distributed discrete responses (case counts by ZIP code) with the log link function.

resultsWe identified two statistically significant high-risk clusters of disease. The primary cluster included ZIP codes in urban regions of Denver and Aurora, as well as regions south of Denver, on the east side of the Continental Divide. The secondary cluster was located on the west side of the Continental Divide in rural and mountainous regions. After adjustment for sociodemographic, drive time, and soil variables, we identified three watershed areas with relative risks of 12.2, 4.6, and 4.2 for slowly growing NTM infections compared with the mean disease risk for all watersheds in Colorado. This study population carries with it inherent limitations that may introduce bias. The lack of complete capture of NTM cases in Colorado may be related to factors such as disease severity, education and income levels, and insurance status.

conclusionsOur findings provide evidence that water derived from particular watersheds may be an important source of NTM exposure in Colorado. The watershed with the greatest risk of NTM disease contains the Dillon Reservoir. This reservoir is also the main water supply for major cities located in the two watersheds with the second and third highest disease risk in the state, suggesting an important possible source of infection.

Indexed as

Water SupplyAgedAged, 80 and overBayes TheoremColoradoDatabases, FactualEnvironmental ExposureFemaleHumansMiddle AgedMultivariate AnalysisMycobacterium Infections, NontuberculousNontuberculous MycobacteriaRisk FactorsSocioeconomic FactorsSoilSoilBayesiannontuberculous mycobacteriaPoissonspatialwatershed epidemiology

Identifiers

PMID28594574
PMCPMC5718570

What OpenQuestion holds

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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.