Heat and Illumination on the Important Topic of Postoperative Periprosthetic Femoral Fractures
Notice bibliographique
Résumé
Commentary The epidemiology and outcomes of postoperative periprosthetic femoral fractures (POPFFs) following total hip arthroplasty (THA), particularly as they relate to femoral stem selection, remain poorly defined. This is partly due to the low incidence of POPFFs and the fact that most national registries focus primarily on revision surgical procedures, not on open reduction and internal fixation for these fractures. In their study, Lamb et al. address this gap by combining femoral open reduction and internal fixation data from the U.K. National Health Service (NHS) with POPFF revision data from the U.K. National Joint Registry (NJR). This approach contributes novel insights into the relationship between femoral stem selection and POPFF outcomes. The authors report data on the prosthesis time incidence rate (PTIR), adjusted PTIR, and relative risk (hazard ratio) in relation to the choice of femoral implant, grouped into 3 main categories: cementless, cemented composite beam (CB), and cemented polished taper slip (PTS). To minimize bias, the study carefully adjusted for confounding variables and excluded POPFFs occurring within 3 months after a THA, as these fractures are presumed to be intraoperative in nature. Subanalyses were also performed on patients >70 years old and those with diagnoses other than osteoarthritis. The study included 809,832 of 1,128,684 patients who underwent primary THA between January 1, 2004, and December 31, 2020, after applying matching and exclusion criteria. At 10 years postoperatively, the incidence of surgical procedures for POPFFs was 0.9%, with slightly more cases being treated with fixation than revision. The authors found that CB stems were associated with the lowest risk of POPFF, whereas cementless and PTS stems had similar, but higher, rates of fracture. These findings suggest that the design of the femoral stem may be as important as, if not more important than, the method of fixation in preventing POPFF. Although the study provides valuable insights, it also highlights both the strengths and limitations of using national registry data. The authors are to be commended for their efforts in linking large, independent data sets and attempting to minimize selection bias, a common issue with observational registry studies. However, several biases still exist and should be considered before drawing practice-changing conclusions from the results. These biases include: Differences in group sizes: There is a notable disparity in the number of cases across the different femoral stem groups, with a single stem design in the PTS group comprising 3 times as many cases as the next most common stem, which was cementless. This is important because cemented PTS stems are often recommended for femora at higher risk for fracture, such as those in patients with patulous anatomy. Exclusion of early POPFFs: The study excludes fractures occurring within 3 months after the surgical procedure, under the assumption that these represent intraoperative fractures. However, when selecting the femoral stem design, other important outcomes, such as mortality, must be considered, particularly in patients undergoing THA for a femoral neck fracture. Previous studies have shown that cementless fixation in THA for femoral neck fracture is associated with higher mortality rates compared with cemented stems, potentially due to intraoperative fractures that require prolonged bed rest or additional surgical procedures1. Selection bias over time: The study does not account for changes in surgical practice patterns over time, which may introduce bias. For example, variations in the use of certain stem designs or fixation methods may be influenced by evolving clinical preferences, which are not captured in this analysis. Loss of detail in the cementless group: The cementless group contains a broad range of femoral stem designs, but this diversity is not explored in detail. By grouping all cementless stems together, the study loses an opportunity to better understand the specific effects of different cementless stem designs. Despite these limitations, the study adds valuable data to the ongoing discussion on femoral stem selection in THA, particularly with respect to POPFFs. The increasing use of cementless THA worldwide and the growing importance of understanding the risk factors for POPFFs highlight the need for further research in this area2,3. Although Lamb et al. correctly advocate for a more nuanced categorization of stem designs to improve predictions of stem performance, the findings should be interpreted with caution, especially considering the biases and limitations noted above. As the field of THA continues to evolve, there will be increasing emphasis on personalized surgical approaches and patient-specific implant selection.
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 | 0,012 | 0,100 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,006 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,005 | 0,002 |
| Intégrité de la recherche | 0,024 | 0,024 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,005 |
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 ».