Letter to the Editor: Is the Survivorship of Birmingham Hip Resurfacing Better Than Selected Conventional Hip Arthroplasties in Men Younger Than 65 Years of Age? A Study from the Australian Orthopaedic Association National Joint Replacement Registry
Notice bibliographique
Résumé
To the Editor, This study [4] compares Birmingham hip resurfacing—which is the only hip resurfacing procedure with long-term follow-up—with the best-performing THA implant in the Australian Joint Replacement Registry. Any device compared with the best-performing device will have poorer long-term survival, so the conclusions in this study are not justified by the data. If the authors feel that one must compare the best with the best, because hip resurfacing has a learning curve and poor implant survivorship is associated with steeper cups, the authors should have only compared surgeons with no Birmingham hip resurfacing failure in their first 75 procedures to the best-performing THAs. More importantly, is the Australian registry recommending that all THAs in this age group be performed using only the three selected implant designs? The registry data are flawed by a myriad of confounding variables both known and unknown, including surgeon and patient variables. It is likely that these confounding variables have a greater impact on the implant’s survival than the selection of the device. These confounding variables are not evenly distributed across different devices. By selecting the best-performing device, Stoney et al. [4] may just be selecting the device that coincidentally has the most favorable set of confounding variables. It would have made much more sense to compare the Birmingham hip resurfacing procedure to all THAs in this age group in the Australian Joint Replacement Registry. Could the authors please compare the implant survival data of all THAs with those of the Birmingham hip resurfacing procedure? We will never be able to measure all of these variables, but at least this approach would mitigate the effect of confounding variables. The Australian Joint Replacement Registry showed higher mortality in patients undergoing THA than in patients undergoing hip resurfacing [1]. This difference in mortality is most likely to be a result of confounding variables due to patient selection. However, this is not clear from the data available, and it is theoretically possible that the increased mortality is an effect of the procedure—in other words, amputating the proximal femur and instrumenting the femoral canal somehow causes harm that leads to an increased risk of death compared with preserving the proximal femur and not invading the femoral canal. Studies of other registry data have found that the difference in mortality persists after correcting for multiple confounding variables [2, 3]. Could Stoney et al. [4] please report the difference in mortality between the two groups in their study? These data are available to the registry and could easily have been presented in this report. The authors have identified selection bias as a major limitation of this study that one might argue invalidates their conclusions. Finally, understanding the difference in mortality will help the reader put into perspective the true benefits to the patient and their loved ones of one implant design versus another.
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 | 0,038 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,011 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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 ».