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Enregistrement W4385791378 · doi:10.1136/ebm-2023-pod.64

64 <i>‘First, do no harm’</i>Overdiagnosis of breast cancer at mammography screening: understanding the influence of methods of communicating overdiagnosis risk on informed decision-making

2023· article· en· W4385791378 sur OpenAlexaff
Kate Connolly, Frank Sullivan

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Cancer Incidence and Screening
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésOverdiagnosisMammographyMedicineBreast cancerInformed consentBreast cancer screeningHarmRisk assessmentFamily medicineGynecologyCancerPsychologyAlternative medicineInternal medicinePathologySocial psychologyComputer science

Résumé

récupéré en direct d'OpenAlex

Overdiagnosis is an inadequately addressed harm of breast cancer (BC) screening. Overdiagnosis is the diagnosis of BC that would not have been diagnosed in the patient’s lifetime without screening. Knowledge of this risk of mammography screening in patients is low. Previously, patient information leaflets have recommended BC screening without acknowledging the risk of overdiagnosis. Evidence-based, objective risk communication supports patients’ autonomy to make informed choices (IC) about attending mammography. The most influential method of communicating overdiagnosis risk at BC screening on informed decision-making (IDM) has not been determined. Risk communication encompasses the four principles of medical ethics: autonomy, beneficence, justice and non-maleficence. Aim To assess the influence of methods of overdiagnosis risk communication on IDM for mammography screening. This review focuses on the outcome of IDM rather than screening participation. Objectives Describe the current literature, analyse the quality of the evidence, and provide recommendations. Method A scoping review format was used to represent the breadth of literature available via differing study designs. The PRISMA-ScR checklist from the EQUATOR Network was followed. Inclusion criteria included studies published between 2000 and February 2023 in English. Participants include all patients eligible for BC screening via mammography without a personal history of BC. To be included, studies must have investigated risk communication before screening to assist an actual mammography screening decision. Risk communication should include all risks of mammography, including overdiagnosis, to be eligible. In controlled studies, the detail or format of risk communication must differ, including overdiagnosis risk communication. Finally, included studies must measure the outcome of IC. MEDLINE, EMBASE and CINAHL databases were searched in February 2023. References lists of identified studies were manually screened. The quality of studies was assessed using Joanna Briggs Institute (JBI) critical appraisal tools and Cochrane’s risk of bias tools. Results 159 studies were screened. 11 studies were included in this review, including seven RCTs, two quasi-experimental studies and two systematic reviews. Of nine primary studies, seven assessed the influence of decision aids (DAs), one provided a presentation and one a standard brochure. Only two assessed overdiagnosis risk communication solely. Six of seven RCTs reported a significant increase in the proportion of participants with IC, with a postintervention mean of 50% and ranged from 24% to 73.5%. In all RCTs, the proportion of participants with ‘adequate’ knowledge significantly increased, with a postintervention mean of 54% and ranged from 23.1% to 95%. Screening participation showed no significant difference between groups. The risk communication resources and outcome assessment methods varied considerably, so direct comparisons between studies could not be drawn. All seven RCTs had a high risk of bias overall and in the outcome assessment domain. Conclusions The findings suggest that risk communication positively influences IDM in mammography screening decisions. However, there is minimal high-quality evidence investigating the communication of overdiagnosis risk. A standardised method for assessing mammography screening DAs should be validated, including a standardised control resource and outcome assessment methods. Standardised methods allow for comparison between studies to ascertain the most influential method of risk communication. Future research is required to increase IDM further and solely investigate overdiagnosis risk communication. Risk communication, including overdiagnosis risk, should be provided to patients invited to mammography screening and their effectiveness studied. Future risk communication resources should be individualised by including personalised risk calculators. Risk communication should follow the potential shift towards personalised, risk-based BC screening. Finally, screening programmes should shift their focus from increasing participation to increasing IDM, a more ethical measure of a screening programme’s performance. Future approaches should endeavour to ‘first, do no harm’

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,068
score de la tête « metaresearch » (Gemma)0,182
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,068
Score d'incertitude au seuil0,360

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0680,182
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,004
Bibliométrie0,0040,005
Études des sciences et des technologies0,0020,007
Communication savante0,0080,011
Science ouverte0,0020,005
Intégrité de la recherche0,0070,005
Charge utile insuffisante (le modèle a refusé de juger)0,0080,002

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.

Tête enseignante Opus0,106
Tête enseignante GPT0,425
Écart entre enseignants0,319 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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