Evidence map›Paper›PMID 29270052›Full record

ArticleCurrent oncology (Toronto, Ont.)2017

The OncoSim model: development and use for better decision-making in Canadian cancer control.

C L Gauvreau, N R Fitzgerald, S Memon, W M Flanagan, C Nadeau, K Asakawa, R Garner, A B Miller, W K Evans, C M Popadiuk and 2 more

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  4. Article
  5. Should we screen for colorectal cancer with biennial FIT beginning at age 45 in Canada?Journal of the Canadian Association of Gastroenterology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. The OncoSim-Breast Cancer Microsimulation Model.Current oncology (Toronto, Ont.) · 2022
    Article
  10. Article
  11. Estimating the future cancer management costs attributable to modifiable risk factors in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Article
  19. This is a call to oncologists for action.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Review
  20. 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

12 authors.

C L GauvreauHealth Economics, Canadian Partnership Against Cancer, Toronto, ON.
N R FitzgeraldHealth Economics, Canadian Partnership Against Cancer, Toronto, ON.
S MemonHealth Economics, Canadian Partnership Against Cancer, Toronto, ON.
W M FlanaganHealth Analysis, Statistics Canada, Ottawa, ON.
C NadeauHealth Analysis, Statistics Canada, Ottawa, ON.
K AsakawaHealth Analysis, Statistics Canada, Ottawa, ON.
R GarnerHealth Analysis, Statistics Canada, Ottawa, ON.
A B MillerDalla Lana School of Public Health, University of Toronto, Toronto, ON.
W K EvansDepartment of Oncology, McMaster University, Hamilton, ON.
C M PopadiukFaculty of Medicine, Memorial University, St. John's, NL.
M WolfsonSchool of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON.
A J ColdmanCancer Control Research, BC Cancer Research Centre, Vancouver, BC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Canadian Partnership Against Cancer was created in 2007 by the federal government to accelerate cancer control across Canada. Its OncoSim microsimulation model platform, which consists of a suite of specific cancer models, was conceived as a tool to augment conventional resources for population-level policy- and decision-making. The Canadian Partnership Against Cancer manages the OncoSim program, with funding from Health Canada and model development by Statistics Canada. Microsimulation modelling allows for the detailed capture of population heterogeneity and health and demographic history over time. Extensive data from multiple Canadian sources were used as inputs or to validate the model. OncoSim has been validated through expert consultation; assessments of face validity, internal validity, and external validity; and model fit against observed data. The platform comprises three in-depth cancer models (lung, colorectal, cervical), with another in-depth model (breast) and a generalized model (25 cancers) being in development. Unique among models of its class, OncoSim is available online for public sector use free of charge. Users can customize input values and output display, and extensive user support is provided. OncoSim has been used to support decision-making at the national and jurisdictional levels. Although simulation studies are generally not included in hierarchies of evidence, they are integral to informing cancer control policy when clinical studies are not feasible. OncoSim can evaluate complex intervention scenarios for multiple cancers. Canadian decision-makers thus have a powerful tool to assess the costs, benefits, cost-effectiveness, and budgetary effects of cancer control interventions when faced with difficult choices for improvements in population health and resource allocation.

Indexed as

cancer controlcancer modellingcancer outcome projectionscancer system resource allocationOncoSim

Identifiers

PMID29270052
PMCPMC5736482

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.