Evidence map›Paper›PMID 22021318›Full record

ArticleAmerican journal of public health2011

Comparison of the effects of the US Clean Air Act and of smoking prevention and cessation efforts on the risk of acute myelogenous leukemia.

Bernard D Goldstein, Yan Liu, Felicia Wu, Paul Lioy

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Bernard D. Goldstein-Risk communication as an essential component of public health practice.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Article
  4. 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 at 1 institution in 1 country.

Bernard D GoldsteinGraduate School of Public Health, University of Pittsburgh, PA, USA. bgold@pitt.edu
Yan Liu
Felicia Wu
Paul Lioy
Environmental and Occupational Health Sciences Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe used 2 approaches based on published information to compare the impacts on leukemia incidence and benzene exposure of the 1990 US Clean Air Act (CAA) amendments and smoking prevention and cessation efforts.

methodsWe extrapolated leukemia mortality related to community air pollution levels and to cigarette smoking from data from the US Environmental Protection Agency and the US Surgeon General. We also estimated relative decline in total exposures to benzene (a known human leukemogen) owing to the CAA amendments and to smoking prevention and cessation efforts.

resultsWe estimated that because of the CAA, there will be approximately 300 fewer leukemia deaths in the United States during the period 2000 through 2020. During the closest comparable period (1987-2007), we estimated that decline in cigarette smoking led to 7120 fewer leukemia deaths, of which 1282 to 3702 were attributable to benzene. Similarly, the decline in smoking led to about a tenfold greater decrease in total-population benzene exposure than did the 1990 CAA amendments.

conclusionsBoth the CAA and smoking cessation activities contribute to a decrease in leukemia incidence. Smoking cessation activities have had a greater effect in the past.

Indexed as

Air PollutantsAir PollutionBenzeneEnvironmental ExposureHumansLeukemia, Myeloid, AcuteRisk FactorsSmokingSmoking CessationSmoking PreventionUnited StatesAir PollutantsBenzene

Identifiers

PMID22021318
PMCPMC3222429
OpenAlexW2145972477

What OpenQuestion holds

Textmetadata
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.