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Record W2325349137 · doi:10.1093/asj/sjw055

In Defense of the International Collaboration of Breast Registry Activities (ICOBRA)

2016· letter· en· W2325349137 on OpenAlexaboutno aff
Rod Cooter, Richard C. Barnett, Anand K. Deva, Mark Magnusson, John J. McNeil, Graeme Perks, Hinne A. Rakhorst, Charles N. Verheyden

Bibliographic record

VenueAesthetic Surgery Journal · 2016
Typeletter
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
FundersMacquarie UniversityMonash UniversityUniversity of NottinghamAustralasian Foundation for Plastic SurgeryBaylor University
KeywordsMedicineMEDLINE

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0360.031
Insufficient payload (model declined to judge)0.0080.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.240
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations17
Published2016
Admission routes1
Has abstractyes

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