Evidence map›Paper›PMID 32590953›Full record

ArticleBMC public health2020

An approach to estimating the environmental burden of cancer from known and probable carcinogens: application to Ontario, Canada.

Susan Lavinia Greco, Elaina MacIntyre, Stephanie Young, Hunter Warden, Christopher Drudge, JinHee Kim, Elisa Candido, Paul Demers, Ray Copes

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  4. Burden of occupational cancer in Brazil and federative units, 1990-2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. 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

9 authors at 5 institutions in 1 country.

Susan Lavinia GrecoPublic Health Ontario, Toronto, Ontario, Canada. sue.greco@utoronto.ca.ORCID http://orcid.org/0000-0001-9721-3069
Elaina MacIntyrePublic Health Ontario, Toronto, Ontario, Canada.
Stephanie YoungCancer Care Ontario, Toronto, Ontario, Canada.
Hunter WardenOccupational Cancer Research Centre, Cancer Care Ontario, Toronto, Ontario, Canada.
Christopher DrudgePublic Health Ontario, Toronto, Ontario, Canada.
JinHee KimPublic Health Ontario, Toronto, Ontario, Canada.
Elisa CandidoInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Paul DemersDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Ray CopesPublic Health Ontario, Toronto, Ontario, Canada.
Cancer Care Ontario · CAPublic Health Ontario · CAUniversity of British Columbia · CAUniversity of Toronto · CAInstitute for Clinical Evaluative Sciences · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantifying the potential cancer cases associated with environmental carcinogen exposure can help inform efforts to improve population health. This study developed an approach to estimate the environmental burden of cancer and applied it to Ontario, Canada. The purpose was to identify environmental carcinogens with the greatest impact on cancer burden to support evidence-based decision making.

methodsWe conducted a probabilistic assessment of the environmental burden of cancer in Ontario. We selected 23 carcinogens that we defined as "environmental" (e.g., pollutants) and were relevant to the province, based on select classifications provided by the International Agency for Research on Cancer. We evaluated population exposure to the carcinogens through inhalation of indoor/outdoor air; ingestion of food, water, and dust; and exposure to radiation. We obtained or calculated concentration-response functions relating carcinogen exposure and the risk of developing cancer. Using both human health risk assessment and population attributable fraction models in a Monte Carlo simulation, we estimated the annual cancer cases associated with each environmental carcinogen, reporting the simulation summary (e.g., mean and percentiles).

resultsWe estimated between 3540 and 6510 annual cancer cases attributable to exposure to 23 environmental carcinogens in Ontario. Three carcinogens were responsible for over 90% of the environmental burden of cancer: solar ultraviolet (UV) radiation, radon in homes, and fine particulate matter (PM

conclusionsWe found the environmental burden of cancer in Ontario to fall between previously estimated burdens of alcohol and tobacco use. These results allow for a comparative assessment across carcinogens and offer insights into strategies to reduce the environmental burden of cancer. Our analysis could be adopted by other jurisdictions and repeated in the future for Ontario to track progress in reducing cancer burden, assess newly classified environmental carcinogens, and identify top burden contributors.

Indexed as

Cost of IllnessAsbestosCarcinogensCarcinogens, EnvironmentalEnvironmental ExposureEnvironmental MonitoringHumansNeoplasmsOntarioParticulate MatterRisk AssessmentRisk FactorsAsbestosCarcinogensCarcinogens, EnvironmentalParticulate MatterBurden of cancerBurden of diseaseCancerCarcinogenEnvironmentPollutantPopulation attributable fractionProbabilistic modelingRisk assessment

Identifiers

PMID32590953
PMCPMC7320572
OpenAlexW3037842933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.