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Enregistrement W4415439208 · doi:10.1302/1358-992x.2025.10.104

HAS THE PROFHER TRIAL INFLUENCED THE PRACTICE PATTERNS OF ORTHOPAEDIC SURGEONS TREATING PROXIMAL HUMERUS FRACTURES IN NORTH AMERICA?

2025· article· en· W4415439208 sur OpenAlexaffabout
Ujash Sheth, Jimmy Tat, D. Thiruchelvam, Marie Paterson, Diane Nam

Notice bibliographique

RevueOrthopaedic Proceedings · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueShoulder Injury and Treatment
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésProximal humerusOrthopedic surgeryArthroplastyHumerusHumerus fractureShoulder FractureGeneralizability theory

Résumé

récupéré en direct d'OpenAlex

The PROximal Fracture of the Humerus: Evaluation by Randomization (ProFHER) trial was published in the Journal of the American Medical Association (JAMA) in March of 2015 and found no difference in outcomes between patients undergoing surgery and those treated without surgery at 2-years. However, the results of the study have been criticized due to the poor inclusion rate (250 of a possible 1250), selection bias (excluding those with “clear indications for surgery”), limited generalizability to 4-part proximal humerus fractures and absence of reverse total shoulder arthroplasty (RTSA) as a treatment in the surgical cohort. Although several studies have examined the impact of the ProFHER trial on the management of proximal humerus fractures in Europe, it remains unknown how the study findings have impacted orthopaedic surgeons in North America. Provincial health administrative databases in Ontario, Canada were used to identify patients 50 years of age and older with a proximal humerus fracture from April 2004 to March 2019. The proportion of proximal humerus fractures treated with and without surgery was calculated for each calendar quarter and year. A subgroup analysis was performed to evaluate the trends in utilization of reverse total should arthroplasty as a treatment. An interrupted time-series analysis was used to determine whether changes in the proportion of surgically and non-surgically managed proximal humerus fractures were chronologically related to the publication of the ProFHER trial (first quarter, 2015). Among the 68,218 proximal humerus fractures that occurred during the study period, 89.2% of patients were treated non-surgically, 9.2% underwent ORIF or hemiarthroplasty, and 1.6% of fractures were treated with RTSA. In the second quarter of 2004, the rate of ORIF and hemiarthroplasty was 9.1% and rising in Ontario, Canada. By the end of the study period, the rate was 7.9% and demonstrating a sharp downturn. Based on the results of the time-series analysis, there is evidence to suggest that the rate of ORIF and hemiarthroplasty significantly decreased immediately following publication of ProFHER trial (P > 0.05) (Figure 1). Similarly, the rate of non-surgical management was noted to significantly increase in the period immediately after publication. This increase, however, was not sustained, in large part due to the greater use of RTSA for proximal humerus fractures. RTSA utilization was found to exponentially increase, both prior to and after the dissemination of the ProFHER trials results as demonstrated by the 350% increase in its use during the study period (Figure 2). Despite the various criticisms of the ProFHER study, a significant change in practice was observed in this large North American cohort. The findings of the current study suggest that the results of the ProFHER trial may have influenced the practice patterns of orthopaedic surgeons in Ontario, Canada. However, our results also revealed that the ProFHER study may not be applicable to all patients with a proximal humerus fracture as evidenced by the exponential increase in RTSA utilization. Further study is required to determine who would benefit from RTSA in the fracture setting. For any figures or tables, please contact the authors directly.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,049
Score d'incertitude au seuil0,833

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,315
Écart entre enseignants0,297 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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