In Defense of the International Collaboration of Breast Registry Activities (ICOBRA)
Notice bibliographique
Résumé
The International Collaboration of Breast Registry Activities (ICOBRA) involves the national plastic surgery societies of several countries, including Australia, Austria, Canada, France, Germany, Ireland, Italy, the Netherlands, New Zealand, South Africa, the United Kingdom, and the United States. 1 Its inception was triggered by the Poly Implant Prostheses (PIP) crisis in France in 2010. It was clear at this time that no existing or past breast implant registry was in a position to alert government and regulatory authorities. In Australia, an inclusive approach backed by surgical societies, government and regulatory bodies has now resulted in the design and implementation of what we now believe is an optimal model for a breast device registry. In 2010, the Australian Society of Plastic Surgeons and the Australasian Foundation for Plastic Surgery, with support from reputable registry scientists, sought to design a “best-practice” Breast Device Registry. Australia's new national opt-out Breast Device Registry was designed along similar lines to the Australian Orthopedic Association's National Joint Replacement Registry. The orthopedic experience, with successful detection of clinical failure of metal-on-metal hip joint prostheses provided a valuable and parallel experience of how a device registry could function as an important tool to ensure patient safety. 2 The Australian Government tendered for the design and implementation of the registry and the Monash University's Department of Epidemiology and Preventive Medicine, which has extensive experience with Clinical Quality Registry design, implementation, and ongoing functionality, 3 were successful bidders and were therefore engaged. As joint partners with Monash University, the Australian Society of Plastic Surgeons, along with the Breast Surgeons of Australia and New Zealand, and the Australasian College of Cosmetic Surgery, have now implemented the new Australian Breast Device Registry to improve the outcomes for breast implant patients, both cosmetic and reconstructive, by using international best registry practice with an opt-out model using a minimal core spine of data collected from all breast implant procedures. A successful pilot across seven centers has been conducted, the results of which have yet to be published. Once the data collection forms were tested and proven to be an optimal data profile it was decided to share all aspects of the registry design with international colleagues. ICOBRA was born out of the need to avoid pitfalls experienced by orthopedic registries analyzing metal-on-metal hip joint prostheses where data definitions varied between the United Kingdom and Australia. 2 To avoid such a fundamental problem for breast devices, an international cohort of surgeons and registry scientists met in Amsterdam to define a core set of minimum data, data definitions, and registry systems for all collaborating countries. ICOBRA has become the vehicle to share all aspects of breast registry science. All information has been provided pro bono to participating nations to ensure future data are harmonized and amplified so any future crises related to breast prostheses can be detected and averted in a timely fashion. The datasets include a wide range of information: device, surgeon and institutional details, device placement, information on the soft tissue envelope, and perioperative strategies to combat infection ( Appendix 1, available as Supplementary Material at www.aestheticsurgeryjournal.com ). Breast implant registries with the ICOBRA dataset imbedded are operational in the Netherlands and are incorporated into the nascent National Breast Implant Registry in the United States. It is through the ICOBRA network that a psychometrically valid set of Patient Reported Outcome Measures (PROMS) is being assembled in collaboration with international colleagues with high level expertise in that field. With this background in mind, your journal's editorial “Breast Implant Registries: The Problem with Ambition” is, at best, an error-filled opinion piece. 4 Importantly, however, we are in agreement that registries must have sustainable funding to be able to audit both completeness of reporting and data accuracy. Also we endorse the need for efficient data collection systems and we aspire to automated data entry technologies. We acknowledge that various registries have failed, but this is typically because of an inadequate funding model or unreasonably large datasets. However, the authors should avail themselves with a better understanding of device registry science before passing their “judgement” on the ICOBRA initiatives using flawed logic. The most glaring of their errors require strong rebuttal. ICOBRA has never duplicated an existing international registry. The ICOBRA minimum dataset does include BIA-ALCL and through further collaboration is supportive of the FDA's PROFILE study. We are currently using data from the registry to calculate implant specific risks associated with BIA-ALCL and hope to demonstrate its utility in the next 12 months. The Australian Breast Device Registry is most definitely a Clinical Quality Registry. Colleagues at Monash University are the authors of the Australian national standards for registry design. 5 The ICOBRA dataset includes information about the soft tissue envelope ( Supplementary Data ). Any opt-out registry is NOT flawed by providing choice for patients to opt-out; it is international best registry practice to allow patients to opt-out. It is not appropriate to rely on adverse events being reported to the registry, rather we plan that these will be triggered by regular patient follow up. PROMS are the basis for robust, independent reporting to be integrated into the ICOBRA framework. The Clinical Quality Registry design, as proposed by ICOBRA, evolved from an in depth Senate Inquiry recommendation so has close support of the Australian government and the premier registry research group at Monash University. These major errors were clearly relayed to the principal author prior to this editorial being submitted for publication. Regrettably, the pre-submission advice was not acknowledged, nor incorporated and these factual errors persist in the manuscript which is now published. We are disappointed that such an article has reached print. Ultimately, we are motivated by ensuring that our patients are given the best advice based on best practice as outlined by solid outcome data. As doctors, we should always strive to put our patients' health and safety first and the establishment of a functional and effective breast device registry is in complete alignment with this goal. While all aspects of the ICOBRA concept have been extensively examined, we still welcome any constructive criticism that is underpinned with strong evidence based on fact. The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article. The authors received no financial support for the research, authorship, and publication of this article.
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 | 0,004 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,036 | 0,031 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,004 |
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 ».