Should we share breast density information during breast cancer screening in the United Kingdom? an integrative review
Notice bibliographique
Résumé
OBJECTIVE: Dense breasts are an established risk factor for breast cancer and also reduce the sensitivity of mammograms. There is increasing public concern around breast density in the UK, with calls for this information to be shared at breast cancer screening. METHODS: We searched the PubMed database, Cochrane Library and grey literature, using broad search terms in October 2022. Two reviewers extracted data and assessed the risk of bias of each included study. The results were narratively synthesised by five research questions: desire for information, communication formats, psychological impact, knowledge impact and behaviour change. RESULTS: We identified 19 studies: three Randomised Controlled Trials (RCTs), three cohort studies, nine cross-sectional studies, one qualitative interview study, one mixed methods study and two 2021 systematic reviews. Nine studies were based in the United States of America (USA), five in Australia, two in the UK and one in Croatia. One systematic review included 14 USA studies, and the other 27 USA studies, 1 Australian and 1 Canadian. The overall GRADE evidence quality rating for each research question was very low to low.Generally, participants wanted to receive breast density information. Conversations with healthcare professionals were more valued and effective than letters. Breast density awareness after notification varied greatly between studies.Breast density information either did not impact frequency of mammography screening or increased the intentions of participants to return for routine screening as well as intention to access, and uptake of, supplementary screening. People from ethnic minority groups or of lower socioeconomic status (SES) had greater confusion following notification, and, along with those without healthcare insurance, were less likely to access supplementary screening. CONCLUSION: Breast density specific research in the UK, including different communities, is needed before the UK considers sharing breast density information at screening. There are also practical considerations around implementation and recording, which need to be addressed. ADVANCES IN KNOWLEDGE: Currently, sharing breast density information at breast cancer screening in the UK may not be beneficial to participants and could widen inequalities. UK specific research is needed, and measurement, communication and future testing implications need to be carefully considered.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».