Surgical versus nonsurgical treatment of thoracolumbar burst fractures in neurologically intact patients: a cost-utility analysis
Notice bibliographique
Résumé
BACKGROUND CONTEXT: Many efforts have been made to determine what is the best treatment strategy for neurologically intact patients with TL burst fractures: surgery or nonoperative management. Studies comparing clinical outcomes have produced mixed and inconclusive results creating lack of consensus in the expert community. PURPOSE: Therefore, it is necessary to explore other important components of healthcare such as economics to settle this controversial debate. The goal of the current study was to perform a cost-utility analysis comparing surgical treatment to nonoperative treatment for neurologically intact TL burst fractures (AOSpine classification types A3 and A4) from a societal perspective in a multicenter and international setting. STUDY DESIGN/SETTING: We performed a cost-utility analysis from a societal perspective comparing the cost-utility of surgical treatment versus nonsurgical treatment of thoracolumbar (TL) burst fractures in neurologically intact patients. PATIENT SAMPLE: Patient demographics and all clinical and outcome data were taken from an observational, prospective multicenter cohort study comparing surgical versus nonsurgical treatment of TL burst fractures in neurological intact patients. OUTCOME MEASURES: The ICER was calculated comparing surgical versus nonsurgical treatment for the full analysis population with a 1-year time horizon, two-year time horizon as well as the working-life time horizon. Costs were taken from the clinical study, patient diaries with productivity loss documented, current scientific literature in addition to national and international healthcare costing guidelines and databases. METHODS: The mean difference in cost between the two treatment groups were calculated, firstly by applying the central limit theorem, and secondly by using bootstrapping. To calculate the average cost per patient in each treatment group, the Kaplan-Meier Sample Average (KMSA) estimator was used in order to take account of the censored patients. To evaluate the derived models and to explore uncertainty, sensitivity analysis was used. RESULTS: Eleven sites from different regions (North America, Europe, Middle east, and Asia) completed the recruitment and follow-up for 213 patients. One hundred and thirty patients were treated surgically (61.0%) and eighty-three patients (39.0%) were treated nonsurgically. At 1-year, the ICER for surgical treatment was $191,648.00 USD per QALY. Compared to a willingness to pay threshold of $100,000, surgical treatment was not cost-effective within the 1-year timeframe. At 2-years, the nonsurgical group had visited the surgeon or general practitioner more often (0.31 vs 0.25). The nonsurgical group had visited physiotherapist and other allied health more often (3.68 vs 1.68). The utilization of NSAIDs and opioids remained higher in the nonsurgical group (2.66 vs 2.39) (1.52 vs 0.75). The average workdays lost remained higher in the nonsurgical group (143.12 vs 114.78). The caregiver days taken off work remained higher in the nonsurgical group (29.86 vs 2.39). At 2 years, surgical treatment showed to be a dominant strategy with a $28,978.50 savings per QALY. At lifetime horizon, surgical treatment remained the cost-effective strategy at $25,530.18 savings per QALY. CONCLUSION: Our cost-utility analysis showed surgical management to be cost-effective at 2 years compared to nonoperative management in neurologically intact TL burst fractures from a societal perspective. This finding was maintained through the working-lifetime horizon. Surgical treatment became cost-effective largely due to the greater productivity loss of patients and caregivers within the nonsurgical group. This investigation highlights the viability for surgical management of TL burst fractures to provide societal benefit especially when productivity is valued.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 tête enseignante, 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 ».