Improving Sarcoma Outcomes: Target Trial Emulation to Compare the Impact of Unplanned and Planned Resections on the Outcome.
Timothy T A F ObergfellKim N NydeggerPhilip HeesenGeorg SchellingBeata Bode-LesniewskaGabriela StuderMario F Scaglioninull nullPublished in: Cancers (2024)
This study follows the Target Trial Emulation (TTE) framework to assess the impact of unplanned resections (UEs) and planned resections (PEs) of sarcomas on local recurrence-free survival (LRFS), metastasis-free survival (MFS), cancer-specific survival (CSS), and overall survival (OS). Sarcomas, malignant tumors with mesenchymal differentiation, present a significant clinical challenge due to their rarity, complexity, and the frequent occurrence of UEs, which complicates effective management. Our analysis utilized real-world-time data from the Swiss Sarcoma Network, encompassing 429 patients, to compare the impact of UEs and PEs, adjusting for known prognostic factors through a multivariable Cox regression model and propensity score weighting. Our findings reveal a significantly higher risk of local recurrence for UEs and a short-term follow-up period that showed no marked differences in MFS, CSS, and OS between the UE and PE groups, underlining the importance of optimal initial surgical management. Furthermore, tumor grade was validated as a critical prognostic factor, influencing outcomes irrespective of surgical strategy. This study illuminates the need for improved referral systems to specialized sarcoma networks to prevent UEs and advocates for the integration of TTE in sarcoma research to enhance clinical guidelines and decision-making in sarcoma care. Future research should focus on the prospective validations of these findings and the exploration of integrated care models to reduce the incidence of UEs and improve patient outcomes.
Keyphrases
- free survival
- prognostic factors
- palliative care
- healthcare
- study protocol
- stem cells
- end stage renal disease
- clinical trial
- primary care
- phase iii
- high grade
- bone marrow
- peritoneal dialysis
- randomized controlled trial
- electronic health record
- squamous cell carcinoma
- skeletal muscle
- newly diagnosed
- young adults
- gene expression
- pain management
- deep learning
- adipose tissue
- metabolic syndrome
- network analysis