ArticleBMJ open2018
Estimating the current and future cancer burden in Canada: methodological framework of the Canadian population attributable risk of cancer (ComPARe) study.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The current burden of non-melanoma skin cancer attributable to ultraviolet radiation and related risk behaviours in Canada.Cancer causes & control : CCC · 2021Pooled it
- The Impact of Adherence to Cancer Prevention Recommendations on Cancer Incidence and Mortality in a Cohort of Canadian Adults.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Invisible Pillars With Hidden Burdens: A Scoping Review on the Challenges of Informal Caregivers for Older Adults in Home-Based Palliative Care.Journal of palliative care · 2026Article
- Cancer Prevalence Projections in Japan and Decomposition Analysis of Changes in Cancer Burden, 2020-2050: A Statistical Modeling Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Article
- Projected Impact of Weight Gain During the COVID-19 Pandemic on the Future Burden of Cancer in Canada.Frontiers in oncology · 2022Article
- Estimates of future cancer mortality attributable to modifiable risk factors in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2021Article
- Burden of cancers attributable to modifiable risk factors in Malaysia.BMC public health · 2021Article
- Costs of cancer attributable to excess body weight in the Brazilian public health system in 2018.PloS one · 2021Article
- Cancer Risk Studies and Priority Areas for Cancer Risk Appraisal in Uganda.Annals of global health · 2020Review
- Trends in the Incidence of Human Papillomavirus-Related Cancers in Canada and the Netherlands.Cancer control : journal of the Moffitt Cancer CenterObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe Canadian Population Attributable Risk of Cancer project aims to quantify the number and proportion of cancer cases incident in Canada, now and projected to 2042, that could be prevented through changes in the prevalence of modifiable exposures associated with cancer. The broad risk factor categories of interest include tobacco, diet, energy imbalance, infectious diseases, hormonal therapies and environmental factors such as air pollution and residential radon. METHODS AND ANALYSIS: Using a national network, we will use population-attributable risks (PAR) and potential impact fractions (PIF) to model both attributable (current) and avoidable (future) cancers. The latency periods and the temporal relationships between exposures and cancer diagnoses will be accounted for in the analyses. For PAR estimates, historical exposure prevalence data and the most recent provincial and national cancer incidence data will be used. For PIF estimates, we will model alternative or 'counterfactual' distributions of cancer risk factor exposures to assess how cancer incidence could be reduced under different scenarios of population exposure, projecting incidence to 2042. DISSEMINATION: The framework provided can be readily extended and applied to other populations or jurisdictions outside of Canada. An embedded knowledge translation and exchange component of this study with our Canadian Cancer Society partners will ensure that these findings are translated to cancer programmes and policies aimed at population-based cancer risk reduction strategies.
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