Reply: What Is Driving Paradigm Shifts in Plastic Surgery and Is Cosmetic Surgery Keeping Up?
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Sir: We thank these esteemed colleagues for taking the time to read and comment on our article1 and congratulate them for their investment, commitment, and growth of the Aesthetic Surgery Journal. They make numerous interesting comments that inspire discussion, for which we are grateful to have the opportunity to respond to herein. Our purpose was to contrast plastic surgery cosmetic market share/volume with innovation using citation volumes (not impact factor), as a proxy of sorts. Although we make reference to Plastic and Reconstructive Surgery’s impact factor in our article, we fully agree that there are inherent limitations to impact factor, and thus focused our attention at raw citation volumes. Regarding the query of a 50-year time horizon for this study and exclusion of basic science articles, although this was an arbitrary time horizon, we wanted to ensure we captured as many of the revolutionary articles as we could over time. We emulated the methodology of other authors in this regard.2 In fact, we certainly missed some transformational articles because of our methodology, including that of Murray’s landmark renal transplant work.3 Many basic science articles would make our list; nonetheless, we wanted to focus on clinical articles, because other authors have previously published citation analyses incorporating both clinical and basic science articles.4 To respond to the question of changes/advances over time, we were mindful to perform a decade-by-decade comparison as noted in Table 1 of our article, and do acknowledge that more cosmetic articles have been published in the past 15 years. Furthermore, it has been described by Joyce5 that the first 16 years is the interval with the most citations following publication. To this end, almost half of the cosmetic articles in our top 100 compendium were published since 2000, which indeed offers optimism toward an increased growth trajectory of cosmetic research. To the question of our hypothesis wherein a proportional market share should correspond to proportional innovation, we decided to include only “surgical” volumes; however, if we were to include minimally invasive volumes (which represent many advances captured in the areas of cosmetic innovation), also included in the American Society of Plastic Surgeons National Plastic Surgery Statistics Report,6 the percentage of “cosmetic” volume (surgical plus minimally invasive) is not simply 24 percent, but rather 75 percent, which would alter our assumptions considerably. In sum, we as academic surgeons will know full well that much of this foundational work (basic science and clinical) is done by a network of research coordinators, medical students, resident trainees, and master’s/doctoral students. Although this type of infrastructure rarely exists in most cosmetic practices (yet may exist within industry), would there not be the potential for exponential cosmetic growth and innovation with this type of system in place? This network could grow grant funding, registries, multicenter trials, research clusters, partnerships with industry, even cosmetic incubators that may spin off start-ups and the like, thereby increasing representation in academic cosmetic research and development, in turn leading to new innovations, which ultimately will offer increased marginal benefit for our patients. DISCLOSURE The authors have no financial interest to declare in relation to the content of this communication. Marija Bucevska, M.D.Jugpal S. Arneja, M.D., M.B.A.University of British ColumbiaVancouver, British Columbia, Canada
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,064 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,005 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 découle