Evidence map›Paper›PMID 28569145›Full record

ArticleBMC infectious diseases2017

Spatial-temporal distribution of genotyped tuberculosis cases in a county with active transmission.

Saroochi Agarwal, Duc T Nguyen, Larry D Teeter, Edward A Graviss

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

  1. Article
  2. Who Transmits Tuberculosis to Whom: A Cross-Sectional Analysis of a Cohort Study in Lima, Peru.American journal of respiratory and critical care medicine · 2024
    Article
  3. Article
  4. Article
  5. 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

4 authors.

Saroochi Agarwal, Houston Methodist Research Institute, Houston, Texas, USA.
Duc T Nguyen, Houston Methodist Research Institute, Houston, Texas, USA.
Larry D TeeterForensic Research and Analysis, 425 NW 10th Avenue, Ste 306, Portland, OR, 97209, USA.
Edward A GravissInstitute of Academic Medicine, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Mail Station: R6-414, 6670 Bertner Ave, Houston, TX, 77030, USA. eagraviss@houstonmethodist.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHarris County, Texas is the third most populous county in the United States and consistently has tuberculosis rates above the national average. Understanding jurisdictional epidemiologic characteristics for the most common Mycobacterium tuberculosis genotyped clusters is needed for tuberculosis prevention programs. Our objective is to describe the demographic, laboratory, clinical, temporal and geospatial characteristics for the most common Mycobacterium tuberculosis GENType clusters in Harris County from 2009 to 2015.

methodsWe analyzed data from the Centers for Disease Control and Prevention (CDC) Tuberculosis Genotyping Information Management System (TB GIMS). Chi-square analyses were used to determine associations between selected clusters and specific characteristics of interest. Geographical Information System (GIS) point density and hot spot maps were generated and analyzed with ArcGIS 10.4.

resultsIn Harris County from 2009 to 2015, 1655 of 1705 (97.1%) culture positive tuberculosis cases were genotyped and assigned a GENType, and 1058 different GENTypes were identified. The analyzed genotype clusters represent 14.1% (233/1655) of all genotyped cases: G00010 (n = 118), G00014 (n = 38), G00769 (n = 33), G01521 (n = 26), and G08964 (n = 18). Male gender (p = 0.002), ethnicity (p < 0.001), homelessness (p < 0.001), excessive alcohol use (p = 0.002), and U.S.-birth (p = 0.004) were associated with the 5 GENTypes. Hot and cold spots were identified as geographic areas having high and low TB incidence.

conclusionsOf more than 1000 distinct GENTypes identified in Harris County, there were 5 common Mycobacterium tuberculosis GENType clusters seen from 2009 to 2015. The common genotypes were observed primarily in U.S.-born populations despite the large foreign-born population residing in Harris County. GENType was significant distributed spatially and temporally in Harris County in the analyzed time period indicating that there may be outbreaks caused by transmission.

Indexed as

AdolescentAdultAgedChildChild, PreschoolCluster AnalysisDisease OutbreaksFemaleGenotypeGeographic Information SystemsHumansIll-Housed PersonsInfantInfant, NewbornMaleMiddle AgedClusteringEndemic MtbGenotypingM. Tuberculosis

Identifiers

PMID28569145
PMCPMC5452388

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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.