Evidence map›Paper›PMID 35372396›Full record

ArticleFrontiers in medicine2022

The Geospatial Distribution of Myositis and Its Phenotypes in the United States and Associations With Roadways: Findings From a National Myositis Patient Registry.

Md M Hossain, Jesse Wilkerson, John A McGrath, Payam N Farhadi, Cole Brokamp, Md T F Khan, Bob Goldberg, Hermine I Brunner, Maurizio Macaluso, Frederick W Miller and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
1.1field-weighted citation impact, top 24% 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, 8 citations in OpenAlex.

  1. Article
  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

11 authors at 7 institutions in 1 country.

Md M HossainDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, United States.
Jesse WilkersonSocial and Scientific Systems, A DLH Holdings Corp Company, Durham, NC, United States.
John A McGrathSocial and Scientific Systems, A DLH Holdings Corp Company, Durham, NC, United States.
Payam N FarhadiEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States.
Cole BrokampDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, United States.
Md T F KhanDivision of Biostatistics and Bioinformatics, University of Cincinnati, Cincinnati, OH, United States.
Bob GoldbergThe Myositis Association, Alexandria, VA, United States.
Hermine I BrunnerDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Maurizio MacalusoDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital and Medical Center, Cincinnati, OH, United States.
Frederick W MillerEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States.
Lisa G RiderEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States.
Cincinnati Children's Hospital Medical Center · USNational Institutes of Health · USSocial and Scientific Systems (United States) · USNational Institute of Environmental Health Sciences · USThe Myositis Association · USUniversity of Cincinnati · USUniversity of Cincinnati Medical Center · US

Funding

Environmental/genetic Risk Factors and Pathogenesis of Autoimmune DiseaseZIAES101074 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RIDER, LISA · 2009 to 2025
$34.6M
Pediatric musculOskeletal & RheumaTology Innovation COre center (PORTICO)P30AR076316 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI DUMOULIN, CHARLES L. · 2019 to 2023
$3.4M
NCCDPHP CDC HHS H75 DP001743NIAMS NIH HHS P30 AR076316
6 · The paper itself

Abstract

Background: Little is known about the spatial distribution of idiopathic inflammatory myopathies (IIM) in the United States (U.S.), or their geospatial associations. Methods: We studied a national myositis patient registry, with cases diagnosed in the contiguous U.S. from 1985-2011 and comprised of dermatomyositis (DM, Results: The U.S. IIM case distribution demonstrated a higher concentration in the Northest. DM, IBM, and cases with lung disease were more common in the East, whereas PM cases were more common in the Southeast. One area in the West and one area in the South had a significant excess in cases of DM relative to PM and of cases with lung disease relative to those without lung disease, respectively. IIM cases tended to cluster, with between-points interactions more intense in the Northeast and less in the South. There was a trend of a higher prevalence of IIM and its major phenotypes among people living within 50 m of a roadway relative to living beyond 200 m. Demographic characteristics, rural-urban commuting area, and female percentage were significantly associated with the prevalence of IIM and with major phenotypes. Conclusions: Using a large U.S. database to evaluate the spatial distribution of IIM and its phenotypes, this study suggests clustering in some regions of the U.S. and a possible association of proximity to roadways.

Indexed as

clusterlog-Gaussian Cox processmajor or minor road networksmyositisprevalence

Identifiers

PMID35372396
PMCPMC8966380
OpenAlexW4220744296

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.