Evidence map›Paper›PMID 25603936›Full record

ArticleAmerican journal of industrial medicine2015

Overview of the National Occupational Mortality Surveillance (NOMS) system: leukemia and acute myocardial infarction risk by industry and occupation in 30 US states 1985-1999, 2003-2004, and 2007.

Cynthia F Robinson, James T Walker, Marie H Sweeney, Rui Shen, Geoffrey M Calvert, Pam K Schumacher, Jun Ju, Susan Nowlin

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Demographic considerations in analyzing decedents by usual occupation.American journal of industrial medicine · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors.

Cynthia F RobinsonThe National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Division of Surveillance, Hazard Evaluation and Field Studies, Cincinnati, Ohio.
James T Walker
Marie H Sweeney
Rui Shen
Geoffrey M Calvert
Pam K Schumacher
Jun Ju
Susan Nowlin

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundCancer and chronic disease are leading causes of death in the US with an estimated cost of $46 billion.

methodsWe analyzed 11 million cause-specific deaths of US workers age 18-64 years in 30 states during 1985-1999, 2003-2004, and 2007 by occupation, industry, race, gender, and Hispanic origin.

resultsThe highest significantly elevated proportionate leukemia mortality was observed in engineers, protective service, and advertising sales manager occupations and in banks/savings &loans/credit agencies, public safety, and public administration industries. The highest significantly elevated smoking-adjusted acute myocardial infarction mortality was noted in industrial and refractory machinery mechanics, farmers, mining machine operators, and agricultural worker occupations; and wholesale farm supplies, agricultural chemical, synthetic rubber, and agricultural crop industries.

conclusionsSignificantly elevated risks for acute myocardial infarction and leukemia were observed across several occupations and industries that confirm existing reports and add new information. Interested investigators can access the NOMS website at http://www.cdc.gov/niosh/topics/NOMS/.

Indexed as

Epidemiological MonitoringAdultAge DistributionBlack or African AmericanBlack PeopleCause of DeathFemaleHispanic or LatinoHumansIndustryLeukemiaMaleMiddle AgedMyocardial InfarctionNational Institute for Occupational Safety and Health, U.S.Occupational Diseasesacute myocardial infarctionleukemiaoccupational canceroccupational heart diseaseoccupational mortalitysurveillance

Identifiers

PMID25603936
PMCPMC4573401

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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.