Evidence map›Paper›PMID 35323336›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

The OncoSim-Breast Cancer Microsimulation Model.

Jean H E Yong, Claude Nadeau, William M Flanagan, Andrew J Coldman, Keiko Asakawa, Rochelle Garner, Natalie Fitzgerald, Martin J Yaffe, Anthony B Miller

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. 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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Overdetection of Breast Cancer.Current oncology (Toronto, Ont.) · 2022
    Article
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  11. Shooting for the Moon: Can We Cut Cancer Mortality in Canada By 50% By 2050?Cancer control : journal of the Moffitt Cancer Center
    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 4 institutions in 1 country.

Jean H E YongCanadian Partnership Against Cancer, Toronto, ON M5H 1J8, Canada.
Claude NadeauStatistics Canada, Ottawa, ON K1A 0T6, Canada.
William M FlanaganStatistics Canada, Ottawa, ON K1A 0T6, Canada.
Andrew J ColdmanBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.ORCID 0000-0002-3263-2649
Keiko AsakawaStatistics Canada, Ottawa, ON K1A 0T6, Canada.
Rochelle GarnerStatistics Canada, Ottawa, ON K1A 0T6, Canada.
Natalie FitzgeraldCanadian Partnership Against Cancer, Toronto, ON M5H 1J8, Canada.
Martin J YaffeSunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.ORCID 0000-0002-7227-9915
Anthony B MillerDalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada.
Statistics Canada · CACanadian Partnership Against Cancer · CASunnybrook Health Science Centre · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOncoSim-Breast is a Canadian breast cancer simulation model to evaluate breast cancer interventions. This paper aims to describe the OncoSim-Breast model and how well it reproduces observed breast cancer trends.

methodsThe OncoSim-Breast model simulates the onset, growth, and spread of invasive and ductal carcinoma in situ tumours. It combines Canadian cancer incidence, mortality, screening program, and cost data to project population-level outcomes. Users can change the model input to answer specific questions. Here, we compared its projections with observed data. First, we compared the model's projected breast cancer trends with the observed data in the Canadian Cancer Registry and from Vital Statistics. Next, we replicated a screening trial to compare the model's projections with the trial's observed screening effects.

resultsOncoSim-Breast's projected incidence, mortality, and stage distribution of breast cancer were close to the observed data in the Canadian Cancer Registry and from Vital Statistics. OncoSim-Breast also reproduced the breast cancer screening effects observed in the UK Age trial.

conclusionsOncoSim-Breast's ability to reproduce the observed population-level breast cancer trends and the screening effects in a randomized trial increases the confidence of using its results to inform policy decisions related to early detection of breast cancer.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingCanadaEarly Detection of CancerFemaleHumansMass Screeningbreast cancercostsdisease progressioneffectivenessincidencenatural historyscreeningsimulation model

Identifiers

PMID35323336
PMCPMC8947518
OpenAlexW4214863304

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.