Pre-diagnostic delays for symptomatic breast cancer in Canada: A scoping review
Notice bibliographique
Résumé
BACKGROUND AND RATIONALE: Breast cancer is the most common cancer among Canadian women and a leading cause of morbidity and mortality. Timely diagnosis remains a critical cornerstone of effective breast cancer care, as diagnostic delays are associated with worse outcomes such as advanced stage and decreased survival. Despite having established screening programs in Canada, a significant proportion of breast cancer patients still present symptomatically and follow a care pathway from first symptom to diagnosis that involves complex patient, provider, and system interactions. The first possible delay in the pre-diagnostic phase for symptomatic breast cancer patients is from symptom to first presentation to healthcare, and is often termed the “patient interval.” In Ontario and the rest of Canada, the patient interval is poorly captured in administrative cancer data due to lack of proxy-metrics and is also inconsistently recorded in clinical/chart data. Determinants of this delay and its relative contribution to later stage presentation and worse outcomes are also not well understood in Canada. This scoping review will map existing Canadian evidence on pre-diagnostic delays, focusing on the first symptom to presentation interval, and how these delays are measured and influenced by socioecological domains (individual, interpersonal, community, organizational, policy/enabling environment). Findings from this review will inform future research, contribute to the development of targeted interventions aimed at reducing pre-diagnostic delays, and support policy and clinical strategies to promote earlier diagnosis and reduce inequities within Canadian breast cancer care pathways. REVIEW OBJECTIVE: 1. To map and synthesize existing evidence on pre-diagnostic intervals using a socioecological framework with a focus on symptom to presentation delays for patients with symptomatic breast cancer in Canada, including how these delays are measured, their duration, and the individual, social, and system-level predictors of pre-diagnostic delays. REVIEW QUESTION: Among adults diagnosed with symptomatic breast cancer in Canada, what is known about the duration, determinants, and conceptualization of pre-diagnostic delays (from first symptom onset to diagnosis)? METHODS: This study will follow the Arkey and O'Malley (2005) and Joanna Briggs Institute (JBI) scoping review methodology (Peters et al., 2020) and be reported according to the PRISMA-ScR guidelines. ELIGIBILITY CRITERIA: • Population: Adults with symptomatic breast cancer (male or female). • Exposure: Measurement of any time interval proceeding diagnosis. • Outcomes: Duration of patient interval; determinants of delay at socio-ecological levels; equity-related factors; disease stage/survival • Study design: Quantitative, qualitative, or mixed-methods primary studies. • Setting: Canadian provinces and territories. • Timeframe: 2000–present (reflecting contemporary diagnostic pathways and organized screening programs). • Language: English or French. INFORMATION SOURCES: MEDLINE (Ovid), Embase, CINAHL, PsycINFO, Web of Science, grey literature The search strategy will include controlled vocabulary and free-text terms related to breast cancer, diagnostic interval/delay, and Canada. A librarian or information specialist will peer-review the strategy following PRISMA-S standards. DATA MANAGEMENT: Search results will be imported into EndNote for deduplication followed by Covidence for screening and data extraction. Two reviewers will independently screen all titles/abstracts and full texts. Discrepancies will be resolved by discussion or a third reviewer. DATE EXTRACTION: Data will be extracted using a pilot-tested form, capturing: • Study details (year, province, design, sample size) • Population characteristics • Definitions of intervals and methods of measurement • Reported duration and determinants of patient interval • Delay related outcomes (e.g. stage, subsequent delays, survival, patient-reported) • Application of the Aarhus checklist criteria • Conceptual or theoretical frameworks used CRITICAL APPRAISAL: While formal risk of bias assessment is not required for scoping reviews, methodological quality and reporting consistency will be evaluated using the Aarhus checklist, which assesses clarity of interval definitions, start and endpoints, and measurement accuracy. This will guide interpretation and identify methodological gaps. DATA SYNTHESIS: Findings will be summarized narratively and presented in evidence tables and evidence gap maps. Quantitative results (e.g., median or mean interval durations) will be tabulated. Determinants will be organized thematically across socioecological levels. DISSEMINATION AND KNOWLEDGE TRANSLATION: The results of this study will be relevant to clinicians, researchers, policy makers, and advocacy groups. Dissemination strategies will include publication in a peer-reviewed journal, presentation at relevant national conferences, and sharing or results with provincial cancer agencies/stakeholders, breast cancer networks, patient advocacy groups, and primary care organizations. Further, the results of this study will inform future thesis work including development of a prospective mixed-method study to evaluate patient delays in breast cancer in Ontario.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,005 |
| Bibliométrie | 0,019 | 0,033 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».