Abstract
Globally, lung cancer is the leading cause of cancer death. Previous trials demonstrated that low-dose computed tomography lung cancer screening of high-risk individuals can reduce lung cancer mortality by 20% or more. Lung cancer screening has been approved by major guidelines in the United States, and over 4,000 sites offer screening. Adoption of lung screening outside the United States has, until recently, been slow. Between June 2017 and May 2019, the Ontario Lung Cancer Screening Pilot successfully recruited 7,768 individuals at high risk identified by using the PLCOm2012noRace lung cancer risk prediction model. In total, 4,451 participants were successfully screened, retained and provided with high-quality follow-up, including appropriate treatment. In the Ontario Lung Cancer Screening Pilot, the lung cancer detection rate and the proportion of early-stage cancers were 2.4% and 79.2%, respectively; serious harms were infrequent; and sensitivity to detect lung cancers was 95.3% or more. With abnormal scans defined as ones leading to diagnostic investigation, specificity was 95.5% (positive predictive value, 35.1%), and adherence to annual recall and early surveillance scans and clinical investigations were high (>85%). The Ontario Lung Cancer Screening Pilot provides insights into how a risk-based organized lung screening program can be implemented in a large, diverse, populous geographic area within a universal healthcare system.
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Data availability
The Ontario Lung Cancer Screening Pilot was not conducted as a research study. For the Ontario Lung Cancer Screening Pilot, Ontario Health operated as a prescribed entity under Ontario’s health privacy law, the Personal Health Information Protection Act (PHIPA), 2004, S.O. 2004, c. 3, Sched. A. Section 45(1) of PHIPA stipulates that ‘a health information custodian may disclose to a prescribed entity personal health information for the purpose of analysis or compiling statistical information with respect to the management of, evaluation or monitoring of, the allocation of resources to or planning for all or part of the health system, including the delivery of services, if the entity meets the requirements under the subsection’. Ontario Health was authorized to use the Pilot data for the purposes defined within PHIPA (monitoring, evaluation, health system planning and service delivery). It may be possible to disclose Pilot data in response to a research or health system planning request, but disclosure must occur on a case-by-case basis to ensure that each request meets the requirements defined within relevant Ontario laws and Ontario Health policies before disclosure. For example, Section 44 of PHIPA describes disclosure of the data for research, stipulating that there must be an application in writing, a research plan, documentation of approval from a research ethics board and a data transfer/disclosure agreement in place before disclosure of data. For more information, see https://www.ccohealth.ca/en/request-data-for-research, and, to initiate the process, contact OH-CCO_Datarequest@ontariohealth.ca. If the application is successful, it is expected that the process may take 3 months to complete, and costs to recover data preparation expenses will apply.
Code availability
Data collection was done at Pilot screening sites using data collection software prepared locally at the sites. Data were collected into CSV formatted files and were delivered by screening sites electronically to Ontario Health (Cancer Care Ontario). Data were appended into Microsoft Access databases and converted into Microsoft Excel (version 2016) or Stata (version 17) using standard procedures. Each site prepared their own information technology data collection system, which Ontario Health (Cancer Care Ontario) did not access. Because Ontario Health (Cancer Care Ontario) does not own or have access to the site data entry codes, they are not posted with the manuscript. The site-specific data collection software codes are not central to the research as they are simple routine systems that are universally available and fundamental to most spreadsheets, such as Excel.
Almost all Pilot analyses statistics were descriptive epidemiological and fell into the following three Stata codes (version 17):
1. Stata command for proportion and exact binomial 95% CI:
cii proportions #number_of_observations #number_of_successes
2. Stata command for comparing proportions between groups and estimating OR:
cci #number_outcomes_in_exposed_group #number_no_outcomes_in_exposed_group #number_outcomes_in_unexposed_group #number_no_outcomes_in_unexposed group
3. Stata command for testing the difference between a Pilot proportion and an established published proportion from the literature or meta-analysis:
bitesti #Number_in_Pilot_group_(denominator) #Number_of outcomes_in_Pilot_group #Proportion_outcomes_in_Literature/Meta-analysis
For more information regarding coding, contact M.C.T. at martin.tammemagi@brocku.ca. A response can be expected within 2 months.
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Acknowledgements
We acknowledge the important contributions made by all participants and staff at the lung cancer screening Pilot sites, including but not limited to the following individuals at Lakeridge Health (S. Ashton, J. Bell, L. Brown, D. Cook, J. Dickie, G. Dotsikas, S. Galica, R. Hamilton, M. Kyte, J. Losier, P. Marchand, A. Mehta, O. Nnorom, T. Tepfenhart, C. Vanderkooi and S. Wong); The Ottawa Hospital (E. Alie, C. Anstee, C. Bornais, J. De Loe, C. Dennie, W. Doyle, A. Gaudet, C. Malenfant, D. Maziak, M. Otley, A. St. Hill and L. Stoica); Health Sciences North; and the Cancer Care Ontario Access to Care team, and to N. Sandhu, B. McCurdy, C. Neilson, M. Ang, T. Patel, T. Hung, K. Wong and A. Langan.
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Each author made substantial contributions to the conception and design of the work or to the acquisition, analysis or interpretation of data or drafted the work or substantively revised it. All authors approved the submitted version of this manuscript and have agreed both to be personally accountable for their own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which they were not personally involved, are appropriately investigated and resolved and the resolution documented in the literature. Parts of this material are based on data and information compiled and provided by the Canadian Institute for Health Information, the Institute for Clinical Evaluative Sciences and the Ontario Ministry of Health. Any conclusions, opinions, results or statements contained in this publication are those of the authors and do not necessarily represent those of the aforementioned, nor should their endorsement be inferred. This study was funded with the support of Ontario Health (Cancer Care Ontario) through funding provided by the Government of Ontario. Ontario Health (Cancer Care Ontario) acknowledges the support of the Ontario Ministry of Health. The opinions, results, views and conclusions reported in this publication are those of the authors and do not necessarily reflect those of Ontario Health (Cancer Care Ontario) or the Ontario Ministry of Health. The opinions, results and conclusions reported in this paper are those of the authors and are independent of the funding sources.
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None of the authors had competing interests except for M.C.T. M.C.T. developed the PLCOm2012noRace lung cancer risk prediction model, which is used in the Pilot. The model is open access and is available free of charge to non-commercial users. For commercial users, licensing has been assigned to Brock University. To date, M.C.T. has not received any money for use of the PLCOm2012 model nor does he anticipate any payments in the future.
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Extended data
Extended Data Fig. 1 Locations of Ontario Pilot lung cancer screening sites.
Locations of Ontario Pilot sites.
Extended Data Fig. 2 Simplified Ontario Pilot lung cancer screening pathway.
Lung cancer screening Pilot pathway.
Extended Data Fig. 3 The initially planned Ontario Pilot evaluation framework.
Initial evaluation framework for the Ontario Pilot.
Supplementary information
Supplementary Information
Supplementary Text 1. PLCOm2012noRace model re-parameterized in Prostate, Lung, Colorectal And Ovarian Cancer Screening Trial control data. Table 1. Pilot patient satisfaction survey questions.
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Tammemägi, M.C., Darling, G.E., Schmidt, H. et al. Risk-based lung cancer screening performance in a universal healthcare setting. Nat Med 30, 1054–1064 (2024). https://doi.org/10.1038/s41591-024-02904-z
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DOI: https://doi.org/10.1038/s41591-024-02904-z