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Enregistrement W4309842685 · doi:10.1093/asj/sjac305

Response to: What Is Missing From the 2022 Practice Recommendation Updates From the World Consensus Conference on BIA-ALCL?

2022· letter· en· W4309842685 sur OpenAlexaff
Fabio Santanelli di Pompeo, Mark W. Clemens, Michaël Atlan, Peter G. Cordeiro, Daphne de Jong, Arianna Di Napoli, Dennis Hammond, Cara Haymaker, Steven M. Horwitz, Kelly K. Hunt, Peter Lennox, Patrick Mallucci, Roberto N. Miranda, Alexandre Mendonça Munhoz, Demosthenes B. Panagiotakos, Eric Swanson, Suzanne D. Turner, Guido Firmani, Michail Sorotos

Notice bibliographique

RevueAesthetic Surgery Journal · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueMedical and Biological Sciences
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesNational Cancer InstituteNational Institutes of Health
Mots-clésMedicineConsensus conferenceMEDLINEFamily medicineData scienceInternal medicineLaw

Résumé

récupéré en direct d'OpenAlex

We thank Mr Nigel Mercer for his reflections and overall positive support of our recent paper and understand these comments represent his personal viewpoints and not the opinions of the Plastic, Reconstructive and Aesthetic Surgery Expert Advisory Group, Medicines and Healthcare products Regulatory Agency, or Sure Insurance ltd (Santa Monica, CA). It is important for us to clarify several points that Mr Mercer has raised in his letter. Mr Mercer comments that we “make reference to 1300 plus cases of breast implant associated anaplastic large cell lymphoma (BIA-ALCL) being mostly related to highly textured, salt loss implants. Without relating incidence to sales data, the relative risks between implants remains unclear to both the profession and the public.” We want to bring to Mr Mercer's attention that the United States FDA reports that when manufacture history was known, approximately 91% of world cases involved prior exposure to an Allergan Biocell macrotextured device (Allergan, Irvine, CA).1 In addition, the incidence of BIA-ALCL increases with higher texture grade.2 Utilizing sales data, Silimed (Silimed Corporation, Rio De Janeiro, Brazil) polyurethane implants and Allergan Biocell implants confer the highest risk of developing BIA-ALCL (odds ratio of 23.4 and 16.52, respectively, compared with Siltex).3 In the only prospective level 2 evidence on BIA-ALCL risk, the Allergan Biocell Continuing Access and Reconstruction (CARE) trial demonstrated 8 cases of BIA-ALCL out of 17,656 patients, a risk of 1 in 2207 (95% confidence interval, 1120-5112).4 In a more recent study, Cordeiro shows an even higher risk of BIA-ALCL with Allergan Biocell breast implants, with 1:355 women.5 In summary, there is an extensive body of evidence conclusively showing an increased risk of BIA-ALCL associated with specific manufacturers and a significant difference across numerous studies of the occurrence of BIA-ALCL being manufacturer and texture specific. It is critical to note that neither Nagor (Cumbernauld, UK) nor Polytech (Dieburg, Germany) have released annualized sales data to an independent reviewer for an accurate risk calculation. Surely Mr Mercer joins us in calling for manufacturers to release these critical data for independent review. Simply dividing a few ALCL cases by all-time world aggregated sales data is wholly inaccurate and misleading, particularly when the national markets of some of these implants have no established BIA-ALCL registries to capture cases. Consider that prior to Allergan releasing sales data to several academic institutions for review, best calculations of Biocell risk up to that point was 1:500,000 patients. Accurate disease risk calculations directly led to the US FDA device recall of Biocell, which quickly precipitated a worldwide ban. Considering this precedence, manufacturers such as Polytech may understandably be hesitant to supply this level of transparency, but it is in the best interest of patient safety and critical to the integrity of our profession. If manufacturers do not supply these data, we are unable to calculate their implant specific risk and cannot infer or compare risks across devices. In Mr Mercer's letter, the terms incidence/risk and prevalence seem to be employed interchangeably. In particular, a BIA-ALCL risk of 1:16,500 implants is reported, but this estimate seems to be calculated simply by dividing the number of BIA-ALCL cases by the number of breast implants and tissue expanders sold in the UK. Because there is no specific time frame, this cannot be considered an incidence but more likely a “prevalence.” Therefore this is neither an incidence nor a risk and is completely dependent on the accurate reporting of disease within that population. Accurate numbers of BIA-ALCL cases (the numerator) optimally come from either mandatory/opt-out national breast implant registries or long-term post-market approval studies. Consider, Medicines and Healthcare products Regulatory Agency and Health Canada report BIA-ALCL prevalence based on calculations per implant sold within that country, which is potentially biased by several facts, such as in the UK, not all brands of implant are sold; not all implants sold in the UK have been implanted into patients; an unknown number of implants sold have been explanted; an unknown number of implants sold have been replaced; not all implants sold in the UK have been implanted into British patients, and conversely some patients have been implanted abroad; not considering contralateral symmetrization, 25% of the population at risk (post-oncologic) may undergo a single implant positioning with a prevalence in UK of 1:16,550, while the remaining 75% (aesthetic) usually receive 2 implants, with a twofold prevalence (not a risk) of 1:8250. Moreover, we know that in 97% of cases, BIA-ALCL occurs on only in 1 of the 2 implanted devices. For an appropriate case tracking, the health care system of the country where diagnoses are issued should consider all patients, independent of where the surgery was performed. Due to possible underestimation, we recommend calculating occurrence per active population at risk, as calculated by de Boer et al, Doren et al, and Santanelli di Pompeo et al, because the per-sold-implant calculation does not appropriately reflect the magnitude of the BIA-ALCL impact on patients and consequently on health care systems.6–8 Finally, Mr Mercer comments that “We, therefore, cannot assume that any implant is safe, perhaps including smooth implants, where the reported incidence of Breast Implant Illness (BII) is greater with smooth implants.” Although BII is beyond the scope from our paper, there exists no formalized risk calculation of BII in the literature, and therefore any attempt to stratify risk across implant type, fill, surface characteristic, or manufacturer is not based on data or outcomes. Therefore, we urge caution and patience before making speculative or sweeping generalizations in particular to BII, which is only recently recognized as an entity by government authorities and patient advocacy groups. To be clear, no BIA-ALCL cases have been reported in case reports, case series, or registries worldwide with a clinical history of only smooth-surface devices.9,10 Mr Mercer raises an industry-promoted misconception about BIA-ALCL cases that “clustering” represents surgeons with poor technique, which gives patients lymphoma. We acknowledge clustering of cases in the United States, Australia and New Zealand, United Kingdom, Netherlands, France, Italy, and Poland with widespread geographic variation in global risk estimates. Importantly, these differences in clustering and subsequent risk profiles are the result of increased awareness, improved surveillance, access to care, and long-term follow-up rather than epidemiologic, technique, or pathologic phenomena.11 Attempts to link surgeon technique to ALCL has no credible data support, and more importantly surgeon-shaming threatens to undermine the reporting of future ALCL cases required to build robust outcomes databases for scientific investigation. In summary, we appreciate Dr Mercer's close reading of our manuscript while fostering healthy academic discourse. Let us all agree to improve open and transparent BIA-ALCL research. Dr Santanelli di Pompeo would like to disclose that the NESMOS Department with which they are affiliated has received research funds from Motiva, Establishment Labs (Alajuela, Costa Rica) in 2017, and from GC Aesthetics (Dublin, Ireland) in 2018 and 2020. The NESMOS Department has also received mini-implants from Establishment Labs, GC Aesthetics and Sebbin (Boissy l'Aillerie, France) for research purposes. FSDP is a paid consultant for BellaSeno GmbH, has received reimbursements for travel/lodgment expenses from ICEAG in 2015 and SCHEER-WG in 2019, 2020 and 2021, and is a member of Notified Body 0373, part of the Superior Institute of Health, which carries out CE Mark certification activities for the Italian Ministry of Health for the year 2021. They have no ownerships or investments to disclose. Dr Hammond has a consulting agreement with the Mentor Corporation (Irvine, CA) and Establishment Labs. Dr Turner receives research funding from Allergan Inc (Irvine, CA). The remaining 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 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)0,005
score de la tête « metaresearch » (Gemma)0,049
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 enseignants0,062
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,049
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,003
Communication savante0,0050,004
Science ouverte0,0020,002
Intégrité de la recherche0,0620,042
Charge utile insuffisante (le modèle a refusé de juger)0,0180,020

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 Opus0,096
Tête enseignante GPT0,328
Écart entre enseignants0,232 · 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
Publié2022
Routes d'admission1
Résumé présentoui

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