Evidence map›Paper›PMID 36963087›Full record

ArticlePLOS global public health2023

Disease phenotypic and geospatial features vary across genetic lineages for Tuberculosis within Arkansas, 2010-2020.

Marissa E Renardy, Craig Gillen, Zhenhua Yang, Leonard Mukasa, Joseph Bates, Russ Butler, Denise E Kirschner

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 3 institutions in 1 country.

Marissa E RenardyDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Craig GillenDepartment of Biology, AdventHealth University, Orlando, FL, United States of America.
Zhenhua YangDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
Leonard MukasaArkansas Department of Health, Little Rock, AR, United States of America.
Joseph BatesArkansas Department of Health, Little Rock, AR, United States of America.
Russ ButlerDepartment of Biology, AdventHealth University, Orlando, FL, United States of America.
Denise E KirschnerDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0002-1053-2591
University of Michigan · USAdventist University of Health Sciences · USArkansas Department of Health · US

Funding

Predicting immune responses that correlate with protection against tuberculosisR01HL110811 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2012 to 2016
$5.9M
Lesion-centric optimization of multidrug therapies for tuberculosisR01AI150684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY, KIRSCHNER, DENISE E · 2020 to 2024
$4.2M
NHLBI NIH HHS R01 HL110811NIAID NIH HHS R01 AI150684
6 · The paper itself

Abstract

Tuberculosis (TB) elimination in the United States remains elusive, and community-specific, localized intervention strategies may be necessary to meet elimination goals. A better understanding of the genotypic diversity of Mtb, the population subgroups affected by different TB strains, and differences in disease presentation associated with these strains can aid in identifying risk groups and designing tailored interventions. We analyze TB incidence and genotype data from all Arkansas counties over an 11-year time span from 2010 through 2020. We use statistical methods and geographic information systems (GIS) to identify demographic and disease phenotypic characteristics that are associated with different Mtb genetic lineages in the study area. We found the following variables to be significantly associated with genetic lineage (p<0.05): patient county, patient birth country, patient ethnicity, race, IGRA result, disease site, chest X-ray result, whether or not a case was identified as part of a cluster, patient age, occupation risk, and date arrived in the US. Different Mtb lineages affect different subpopulations in Arkansas. Lineage 4 (EuroAmerican) and Lineage 2 (East Asian) are most prevalent, although the spatial distributions differ substantially, and lineage 2 (East Asian) is more frequently associated with case clusters. The Marshallese remain a particularly high-risk group for TB in Arkansas.

Identifiers

PMID36963087
PMCPMC10022325
OpenAlexW4321610167

What OpenQuestion holds

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identifiers read7
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.