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Record W4414219007 · doi:10.1136/ebm-2025-pod.54

054 Canadian task force on preventive health care’s breast cancer screening guideline: collision of evidence, advocacy and politics

2025· article· en· W4414219007 on OpenAlexaffabout
Guylène Thériault, Donna L. Reynolds, Nathalie Slavtcheva, Roland Grad, James A. Dickinson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of TorontoUniversity of CalgaryUniversité de MontréalMcGill UniversityCARE Canada
Fundersnot available
KeywordsTask forceGuidelinePoliticsTask (project management)Health careWork (physics)Breast cancerBreast cancer screeningCancer screening

Abstract

fetched live from OpenAlex

In May 2023, the Canadian Task Force on Preventive Health Care (Task Force) was requested to undertake an expedited update of its 2018 guideline on breast cancer screening. The request was triggered by the release of the United States Preventive Services Task Force recommendations that supported screening in individuals 40–49 years. The expedited review was further pressured as a result of advocacy campaigns and political interference, which persisted during development and after release of the draft guideline update in May 2024. Attempts to thwart the independence of the Task Force’s work were evident as specific patient advocacy groups, long-standing professional advocates and newly formed radiologist-led associations sought to influence the review, and even to disband the Task Force. Political interference was manifested by: 1) an inflammatory and inaccurate media briefing by the Minister of Health on the day of the draft guideline’s release; 2) the convening of parliamentary committees on breast cancer screening where invited speakers were almost exclusively pro-screening; 3) the initiation of an external review from which the Task Force was almost entirely excluded, and; 4) attempts at on-going interference by the Minister of Health on the progress of the guideline. Throughout this offensive, it was clear to the Task Force that most detractors were uneducated on the methods used for the extensive, publicly available evidence reviews and the rationales behind the recommendations. Alternatively, some simply did not believe the evidence. Common themes encountered were: 1) more screening is better, 2) earlier screening is better, 3) increasing breast cancer incidence justifies more and earlier screening, 4) harms from screening are overstated, 5) more screening is justified even/especially in the absence of research. The extent of overdiagnosis was minimized, and denigrated. Overdiagnosis did not resonate with the public or parliamentarians, quite possibly because they did not want to believe. We encountered fixed, false beliefs among advocates that were exploited for political and other purposes. In developing guideline recommendations, particularly on cancer screening, these types of experiences are not unique to the Canadian Task Force. The United States Preventive Services Task Force encountered similar tactics in years past, particularly on breast cancer screening. Comprehensive, high quality methods for guidelines help but may be unable to overcome populist ideas and personal narratives. We will discuss lessons-learned to help better support work on evidence-based screening and preventive health care guidelines in the future. In particular, we will consider how evidence-based messages that do not increase overdiagnosis is heard and followed. We will share insights from our experience. Objectives Describe the intersection of evidence, advocacy, and politics encountered during the development of the Canadian Task Force on Preventive Health Care’s updated 2025 breast cancer screening guidelines. Discuss how comprehensive, high-quality, evidence-based methods are helpful but may be insufficient to be overcome advocates’ narratives; benefits tend to be inflated while harms from false positives and overdiagnosis are minimized. Describe common themes/beliefs held by breast cancer screening proponents such as: more screening is better, earlier screening is better, increasing incidence is sufficient for more screening, harms from screening are overstated, more screening is justified in the absence of research. Discuss possible opportunities and barriers encountered when evidence is at odds with belief and political expediency. Seminar: In May 2023, the Canadian Task Force on Preventive Health Care (Task Force) was requested to undertake an expedited update of its 2018 guideline on breast cancer screening. In this seminar, we will review the collision of evidence, advocacy and politics that we encountered, and engage with the audience in a discussion to explore some possible paths forward. Please also see abstract & objectives. Results The Canadian Task Force on Preventive Health Care encountered a hostile intersection of evidence, advocacy, and politics during the development of its updated 2025 breast cancer screening guidelines. It was clear to the Task Force that most detractors were uneducated on the methods used for the extensive, publicly available evidence reviews and the rationales behind the recommendations. Political interference was manifested in several ways, posing a threat to the independence of the Task Force. High-quality, evidence-based methods were helpful but may be insufficient to overcome advocates’ narratives, or evidence may simply not be believed. Some common themes/beliefs were identified among breast cancer screening proponents such as: more screening is better, earlier screening is better, increasing incidence is sufficient for more screening, harms from screening are overstated, more screening is justified in the absence of research. The experience and progress to date will be discussed. Also see abstract & objectives. Conclusions In developing guideline recommendations, particularly on cancer screening, the collision of evidence, advocacy and politics may be increasingly common. Comprehensive, high quality methods for guidelines help but may be unable to overcome populist ideas. We will discuss lessons-learned to support the work on evidence-based screening and preventive health care guidelines in the future. In particular, what can be done to ensure that an evidence-based message that does not increase overdiagnosis is heard and followed?

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.060
metaresearch head score (Gemma)0.146
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.529

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.146
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.007
Science and technology studies0.0060.006
Scholarly communication0.0110.004
Open science0.0060.004
Research integrity0.0150.016
Insufficient payload (model declined to judge)0.0110.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.400
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainEvaluation
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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