Predicting tumor-specific survival in patients with spinal metastatic renal cell carcinoma: which scoring system is most accurate?
AUC = area under the curve
ECOG = Eastern Cooperative Oncology Group
ESCC = epidural spinal cord compression
KPS = Karnofsky Performance Scale
NESMS = New England Spinal Metastasis Score
RCC = renal cell carcinoma
ROC = receiver operating characteristic
SINS = Spine Instability Neoplastic Score
SORG = Skeletal Oncology Research Group
TKI = tyrosine kinase inhibitor
ambulatory status
cancer survival
mTOR = mammalian target of rapamycin
oncology
predictive analytics
renal cell carcinoma
serum albumin
spine metastasis
spine surgery
Journal
Journal of neurosurgery. Spine
ISSN: 1547-5646
Titre abrégé: J Neurosurg Spine
Pays: United States
ID NLM: 101223545
Informations de publication
Date de publication:
05 Jun 2020
05 Jun 2020
Historique:
received:
07
02
2020
accepted:
02
04
2020
entrez:
6
6
2020
pubmed:
6
6
2020
medline:
6
6
2020
Statut:
aheadofprint
Résumé
Although several prognostic scores for spinal metastatic disease have been developed in the past 2 decades, the applicability and validity of these models to specific cancer types are not yet clear. Most of the data used for model formation are from small population sets and have not been updated or externally validated to assess their performance. Developing predictive models is clinically relevant as prognostic assessment is crucial to optimal decision-making, particularly the decision for or against spine surgery. In this study, the authors investigated the performance of various spinal metastatic disease risk models in predicting prognosis for spine surgery to treat metastatic renal cell carcinoma (RCC). Data of patients who underwent surgery for RCC metastatic to the spine at 2 tertiary centers between 2010 and 2019 were retrospectively retrieved. The authors determined the prognostic value associated with the following scoring systems: the Tomita score, original and revised Tokuhashi scores, original and modified Bauer scores, Katagiri score, the Skeletal Oncology Research Group (SORG) classic algorithm and nomogram, and the New England Spinal Metastasis Score (NESMS). Regression analysis of patient variables in association with 1-year survival after surgery was assessed using Cox proportional hazard models. Calibration and time-dependent discrimination analysis were tested to quantify the accuracy of each scoring system at 3 months, 6 months, and 1 year. A total of 86 metastatic RCC patients were included (median age 64 years [range 29-84 years]; 63 males [73.26%]). The 1-year survival rate was 72%. The 1-year survival group had a good performance status (Karnofsky Performance Scale [KPS] score 80%-100%) and an albumin level > 3.5 g/dL (p < 0.05). Multivariable-adjusted Cox regression analysis showed that poor performance status (KPS score < 70%), neurological deficit (Frankel grade A-D), and hypoalbuminemia (< 3.5 g/dL) were associated with a higher risk of death before 1 year (p < 0.05). The SORG nomogram, SORG classic, original Tokuhashi, and original Bauer demonstrated fair performance (0.7 < area under the curve < 0.8). The NESMS differentiates survival among the prognostic categories with the highest accuracy (area under the curve > 0.8). The present study shows that the most cited and commonly used scoring systems have a fair performance predicting survival for patients undergoing spine surgery for metastatic RCC. The NESMS had the best performance at predicting 1-year survival after surgery.
Identifiants
pubmed: 32502990
doi: 10.3171/2020.4.SPINE20173
pii: 2020.4.SPINE20173
doi:
pii:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM