Evidence map›Paper›PMID 30658007›Full record

ArticleAmerican journal of industrial medicine2019

Silicosis prevalence and incidence among Medicare beneficiaries.

Megan L Casey, Jacek M Mazurek

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Erasmus Syndrome: A Case Report and Literature Review.The American journal of case reports · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Transplantation for work-related lung disease in the USA.Occupational and environmental medicine · 2020
    Article
  12. 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

2 authors.

Megan L CaseySurveillance Branch, Respiratory Health Division, National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), Morgantown, West Virginia.ORCID 0000-0001-5984-9023
Jacek M MazurekSurveillance Branch, Respiratory Health Division, National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), Morgantown, West Virginia.

Funding

Intramural CDC HHS CC999999No funding
6 · The paper itself

Abstract

introductionExisting epidemiologic information on silicosis relies on mortality data.

methodsWe analyzed health insurance claims and enrollment information from 49 923 987 fee-for-service (FFS) Medicare beneficiaries aged ≥65 from 1999 to 2014. Three different definitions were developed to identify silicosis cases and results are presented as ranges of values for the three definitions.

resultsAmong FFS beneficiaries, 10 026-19 696 fit the silicosis case definitions (16-year prevalence: 20.1-39.5 per 100 000) with the highest prevalence among North American Natives (87.2-213.6 per 100 000) and those in New Mexico (83.9-203.4 per 100 000). The annual average prevalence had a significant (P < 0.05) 2-5% annual decline from 2005 to 2014. The average annual number of incident cases had a significant 3-16% annual decline from 2007 to 2014.

conclusionsSilicosis is a prevalent disease among Medicare beneficiaries aged ≥65, with variation across the country. Morbidity data from health insurance claims can provide a more complete picture of silicosis burden.

Indexed as

Administrative Claims, HealthcareAgedAged, 80 and overFemaleHumansIncidenceMaleMedicarePrevalenceSilicosisUnited StatesinsuranceMedicaresilicosis

Identifiers

PMID30658007
PMCPMC6492239

What OpenQuestion holds

Textmetadata
LicenceTDM
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.