Evidence map›Paper›PMID 29301745›Full record

ArticleCMAJ open2018

The economic burden of cancer care in Canada: a population-based cost study.

Claire de Oliveira, Sharada Weir, Jagadish Rangrej, Murray D Krahn, Nicole Mittmann, Jeffrey S Hoch, Kelvin K W Chan, Stuart Peacock

Abstract read
In one paragraph

Article in CMAJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  14. Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review.International journal of environmental research and public health · 2023
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1 more citing papers are in PubMed but not listed here.

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.

Claire de Oliveira
Sharada Weir
Jagadish Rangrej
Murray D Krahn
Nicole Mittmann
Jeffrey S Hoch
Kelvin K W Chan
Stuart Peacock

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResource and cost issues are a growing concern in health care. Thus, it is important to have an accurate estimate of the economic burden of care. Previous work has estimated the economic burden of cancer care for Canada; however, there is some concern this estimate is too low. The objective of this analysis was to provide a comprehensive revised estimate of this burden.

methodsWe used a case-control prevalence-based approach to estimate direct annual cancer costs from 2005 to 2012. We used patient-level administrative health care data from Ontario to correctly attribute health care costs to cancer. We employed the net cost method (cost difference between patients with cancer and control subjects without cancer) to account for costs directly and indirectly related to cancer and its sequelae. Using average patient-level cost estimates from Ontario, we applied proportions from national health expenditures data to obtain the economic burden of cancer care for Canada. All costs were adjusted to 2015 Canadian dollars.

resultsCosts of cancer care rose steadily over our analysis period, from $2.9 billion in 2005 to $7.5 billion in 2012, mostly owing to the increase in costs of hospital-based care. Most expenditures for health care services increased over time, with chemotherapy and radiation therapy expenditures accounting for the largest increases over the study period. Our cost estimates were larger than those in the

interpretationThe economic burden of cancer care in Canada is substantial. Further research is needed to understand how the economic burden of cancer compares to that of other diseases.

Identifiers

PMID29301745
PMCPMC5878959

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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.