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Enregistrement W2332584329 · doi:10.1097/prs.0b013e318262f6d5

The BREAST-Q

2012· letter· en· W2332584329 sur OpenAlexaboutno aff
Joseph Ward, Shelley Potter, Jane Blazeby

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2012
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueDelphi Technique in Research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute for Health and Care Research
Mots-clésBreast surgeryBreast reconstructionMedicineReconstructive surgeryRasch modelPopulationBreast augmentationQuality of life (healthcare)Consistency (knowledge bases)Construct validityPsychologyMedical physicsBreast cancerClinical psychologySurgeryPsychometricsComputer scienceNursingArtificial intelligenceDevelopmental psychology

Résumé

récupéré en direct d'OpenAlex

Sir: We read with great interest the recent article by Cano and colleagues1 and the accompanying discussion.2 Although we understand Dr. Hammond’s concerns that “researchers with a specific bias could manipulate the application of the instrument in a manner such that a particular bias is supported,” we perceive that these criticisms are unnecessary and believe that the development and validation of the BREAST-Q represents an important advance for plastic and reconstructive breast surgery. Traditionally, patient-reported outcomes in plastic and reconstructive breast surgery have been assessed mostly using generic and study-specific questionnaires, many of which have not been validated in the breast population and may not be sufficiently sensitive to breast-related concerns, thus risk overestimating treatment effects and leading to reporting bias.3 The BREAST-Q, by contrast, has been specifically designed and validated to assess patient-reported outcomes in plastic and reconstructive breast surgery using rigorous methodology involving patient interviews, focus groups, expert panels, and comprehensive literature reviews to develop a conceptual framework followed by extensive field-testing with 1950 women at five centers in the United States and Canada and the application of Rasch measurement methods to construct scales and traditional psychometric analyses. Indeed, contrary to Dr. Hammond’s concerns, the widespread adoption of the BREAST-Q may result in a significant improvement in both the quality and the consistency of patient-reported outcomes assessment in this area because it will capture concerns specific to women undergoing plastic and reconstructive breast surgery. The issue of reporting bias raised by Dr. Hammond, however, is not restricted to patient-reported outcomes, as recent systematic reviews show that this is common in both clinical and cosmetic studies of plastic and reconstructive breast surgery.4,5 One way to reduce the issues of reporting bias is to develop and use core outcome sets for plastic and reconstructive breast surgery. Core outcome sets are a standardized set of outcomes (usually between seven and 10) that all stakeholders (patients and professionals) agree should be measured and reported as a minimum in all research and audit studies in a particular area. Core outcome sets have been pioneered in the field of rheumatoid arthritis by the Outcome Measures in Rheumatoid Arthritis Clinical Trials initiative (http://www.intermed.med.uottawa.ca/research/omeract./) and now exist in other areas. By providing a minimum standard for outcome reporting, core outcome sets also create greater homogeneity across studies, increasing the value of research by facilitating data synthesis and meta-analysis. The benefits of standardized outcome reporting are already being recognized in oncologic breast surgery. The Breast Reconstruction and Valid Outcomes group is developing a core outcome set for reconstructive breast surgery. Based on literature reviews and work with key stakeholders, a survey has been developed that will evaluate 200 patients’ and 100 health care professionals’ views of the importance of a range of clinical, cosmetic, and patient-reported outcomes in reconstructive breast surgery. Delphi methods will be used to prioritize outcome domains. By doing so, we will develop a methodologic basis for less biased and fairer comparisons between reconstructive procedures while facilitating research synthesis. More importantly, a core outcome set will ensure that the outcomes held in highest regard by patients—not authors—will be integral to all future studies in reconstructive breast surgery. DISCLOSURE The authors have no financial interest to declare in relation to the content of this communication. Joseph A. Ward, M.B.Ch.B. Shelley Potter, M.B.Ch.B., Ph.D. Jane M. Blazeby, M.B.Ch.B., M.D. On behalf of the BRAVO Study Steering Committee Academic Unit of Surgical Research School of Social and Community Medicine University of Bristol Clifton, Bristol, United Kingdom

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)0,014
score de la tête « metaresearch » (Gemma)0,131
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,131
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,003
Communication savante0,0040,005
Science ouverte0,0020,003
Intégrité de la recherche0,0070,010
Charge utile insuffisante (le modèle a refusé de juger)0,0240,013

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 Opus0,081
Tête enseignante GPT0,353
Écart entre enseignants0,272 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations5
Publié2012
Routes d'admission1
Résumé présentoui

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