Notice bibliographique
Résumé
It is human nature to seek out new and improved methods for solving the problems we face. Part of the fabric of joint reconstructive surgery is to search for novel and better methods for technical reconstructive challenges, as well as those issues that inhibit or obstruct patient recovery. Of course, manufacturers of implants and devices also are motivated to innovate and modify existing technologies in order to help patients while concomitantly driving sales and improving profits.Figure: No Caption available.Still, time has taught us that newer is not always better. There are many examples in the long history of orthopaedics demonstrating that slow, gradual incorporation of new technology is advisable. It is important to remember the unforeseen consequences of certain metal-on-metal hip resurfacing and replacement designs [6], the early failure of new bone cement formulations [1, 4], and the unpredicted failures of even fairly minor modifications to successful products, including certain “high flex” femoral component designs [3]. Orthopaedics certainly is not alone in having suffered such repercussions of untested new technology—novel pacemakers [2] and cochlear implants [5] are just two examples that come to mind from outside our specialty. The series of selected articles in these proceedings of The Knee Society can be looked at in the context of balancing the old with the new. One such study indicates that while the use of porous metal devices has become the standard method of restoring lost bone in revision TKA surgery, older techniques using allograft bone may continue to have an important role to play. Similarly, other studies demonstrate that use of modern crosslinked polyethylene in the knee may offer no advantages and significant concern is raised by the short-term survivorship assessment of a bicruciate retaining total knee design. These findings must be balanced by the reality that if we do not continue to improve technology and technique, our field will not evolve or improve, and better outcomes for our patients will not be achieved. In addition, certain clinical scenarios we often face have no alternatives but to maximize use of technology, despite high complication rates, as is seen in the study of long, extensive endoprosthetic femoral replacement included in these proceedings. These selected studies provide new and useful information for knee replacement surgeons. Readers may even find a common theme running through these studies—newer and costlier isn't always better both in terms of short- and long-term outcomes. As these papers highlight, it is critical for surgeons interested in developing new methods and techniques to design and participate in prospective randomized studies. In addition, certain clinical scenarios we often face have no alternatives but to maximize use of technology, despite potentially high complication rates, such as cases where reconstruction requires replacement of large segments of bone or mechanical compensation for major ligamentous insufficiency. If our profession does not drive the assessment of new technologies and techniques, governments and other regulatory bodies may force stagnation in an effort to avoid adverse outcomes. To maintain our right of professional self-direction, we have a responsibility to educate ourselves and be aware of the experiences of our colleagues. The series of studies in these proceedings provide precisely this type of work.
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 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,024 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,047 | 0,050 |
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 ».