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Enregistrement W4415430076 · doi:10.1302/1358-992x.2025.10.091

COST COMPARISON BETWEEN OPEN REDUCTION AND INTERNAL FIXATION AND FUNCTIONAL BRACING FOR HUMERAL DIAPHYSEAL FRACTURE MANAGEMENT

2025· article· en· W4415430076 sur OpenAlexaffabout
Prism Schneider, Ahmed Negm, S. Yee, Kenneth P Goldstein, M. Amedeo, Rudolph Reindl, Gregory K. Berry, Herman Johal

Notice bibliographique

RevueOrthopaedic Proceedings · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueBone fractures and treatments
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésInternal fixationNonunionIntramedullary rodRandomized controlled trialBracingDiaphysisReduction (mathematics)HumerusExternal fixation

Résumé

récupéré en direct d'OpenAlex

Fractures of the humeral diaphysis have traditionally been treated non-operatively using functional bracing; however, the recent randomized controlled trial (RCT) performed by the Canadian Orthopaedic Trauma Society has demonstrated a symptomatic nonunion rate of over 15%. Coaptation splinting is reported to have lower direct costs compared to functional bracing for non-operative management. Prior studies have found increased direct surgical costs for intramedullary nail fixation when compared with open reduction and internal fixation (ORIF) for humeral diaphyseal fractures. This study aimed to complete a cost analysis comparing the differences in direct and in-directs costs between ORIF and functional bracing relative to the improvement in SMFA functional outcome scores for isolated humeral diaphyseal fractures. This is a prespecified secondary analysis from a large, multi-centre RCT comparing ORIF (plate and screws) with non-operative treatment (functional bracing) for humeral diaphyseal fractures. Patients were included if they were 18 years or older with displaced humeral diaphyseal fracture (AO/OTA 12-A, B, C) amenable to both treatments and presentation within 21 days from injury. Patients were excluded if there was an open fracture, multiple injuries, or nerve injury requiring repair. A cost-analysis was completed using data on costs and outcomes from the trial, including both directs costs of care (implant costs, hospital stay, readmissions, complications) as well as indirect costs (time off of work). Change in Selective Functional Movement Assessment (SMFA) scores were used to quantify effectiveness, with a minimal clinical important difference of 7.3 used as a threshold for clinically significant improvement. Costs and outcomes were captured over a 1-year period. A monte carlo model was utilized to generate incremental cost-effectiveness ratios (ICER), using a probabilistic sampling strategy. A total of 168 patients from 12 participating sites were included in the final analysis (84 in ORIF group and 84 in the non-operative group). There was no significant baseline demographic differences between groups and 1-year follow-up rate was 85%. Overall change improvement in SMFA score for the ORIF group was 3.32 points, while the overall change for the non-operative group was 2.88 points (Table 1). When considering direct health care costs alone, the average costs for the ORIF group were $4,216.62, while the average costs for the non?operative group were $1,068.81 (Table 1). This resulted in an incremental cost difference of $3,151, and an ICER of $7,002 per point improvement in SMFA, or $51,116 to obtain clinical improvement in SMFA functional outcome score. When additional indirect costs are considered, the average total costs for the ORIF group were $26,692.40, while the average total costs for the non-operative group were $34, 806.21 (Table 1). This resulted in an incremental societal cost difference of $8,112 in favor of the ORIF group as the dominant intervention. Data from a large, multi-centre RCT supports that ORIF of humeral diaphyseal fractures would be considered a cost-effective treatment option when considering direct health care related costs and is a dominant intervention when indirect costs such as time off work and surgical intervention for fracture nonunion are considered. Providing value-based care has become increasingly important, and using traditional thresholds in combination with shared decision making with patients and stakeholders based on functional goals. 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)0,000
score de la tête « metaresearch » (Gemma)0,000
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 enseignants0,178
Score d'incertitude au seuil0,517

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,032
Tête enseignante GPT0,332
Écart entre enseignants0,300 · 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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