Literature DB >> 24470544

Prognostic factors associated with survival in patients with symptomatic spinal bone metastases: a retrospective cohort study of 1,043 patients.

Laurens Bollen, Yvette M van der Linden, Willem Pondaag, Marta Fiocco, Bas P M Pattynama, Corrie A M Marijnen, Rob G H H Nelissen, Wilco C Peul, P D Sander Dijkstra.   

Abstract

BACKGROUND: Expected survival is a major factor influencing extent of treatment for symptomatic spinal bone metastases (SBM). Predictive models have been developed, but their use can lead to over- or undertreatment.. The study objective was to identify prognostic factors associated with survival in patients with symptomatic SBM and to create a validated risk stratification model.
METHODS: All patients who were treated for symptomatic SBM between 2001 and 2010 were included in this single center retrospective study. Medical records were reviewed for type of primary cancer, performance status, presence of visceral, brain and bone metastases, number and location of spinal metastases, and neurological functioning. Performance status was assessed with the Karnofsky performance score and neurological functioning with the Frankel scale. Analysis was performed using Kaplan-Meier curves, univariate log-rank tests, Cox regression models, and Harrell's C statistic.
RESULTS: A total of 1 043 patients were studied. The most prevalent tumors were those of breast (n = 299), lung (n = 250), and prostate (n = 215). Median follow-up duration was 6.6 years, and 6 patients were lost to follow-up. Based on the results of the uni- and multivariate analyses, 4 categories were created. Median survival in category A was 31.2 months (95% CI, 25.2-37.3 months), 15.4 months (95% CI, 11.9-18.2 months) for category B, 4.8 months (95% CI, 4.1-5.4 months) for category C, and 1.6 months (95% CI, 1.4-1.9 months) for category D. Harrell's C statistic was calculated after the model was applied to an external dataset, yielding a result of 0.69.
CONCLUSION: Assessing patients according to the presented model results in 4 categories with significantly different survival times.

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Year:  2014        PMID: 24470544      PMCID: PMC4057139          DOI: 10.1093/neuonc/not318

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  23 in total

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Authors:  Ernesto Maranzano; Fabio Trippa; Michelina Casale; Sara Costantini; Marco Lupattelli; Rita Bellavita; Luigi Marafioti; Stefano Pergolizzi; Anna Santacaterina; Marcello Mignogna; Giovanni Silvano; Vincenzo Fusco
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4.  The effect of a single fraction compared to multiple fractions on painful bone metastases: a global analysis of the Dutch Bone Metastasis Study.

Authors:  E Steenland; J W Leer; H van Houwelingen; W J Post; W B van den Hout; J Kievit; H de Haes; H Martijn; B Oei; E Vonk; E van der Steen-Banasik; R G Wiggenraad; J Hoogenhout; C Wárlám-Rodenhuis; G van Tienhoven; R Wanders; J Pomp; M van Reijn; I van Mierlo; E Rutten; J Leer; T van Mierlo
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5.  Surgical strategy for spinal metastases.

Authors:  K Tomita; N Kawahara; T Kobayashi; A Yoshida; H Murakami; T Akamaru
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6.  Actual and predicted survival time of patients with spinal metastases of lung cancer: evaluation of the robustness of the Tokuhashi score.

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Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
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8.  Survival analysis of 254 patients after manifestation of spinal metastases: evaluation of seven preoperative scoring systems.

Authors:  Christine Wibmer; Andreas Leithner; Günter Hofmann; Heimo Clar; Magdalena Kapitan; Andrea Berghold; Reinhard Windhager
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9.  Risk factors for survival of 106 surgically treated patients with symptomatic spinal epidural metastases.

Authors:  L Bollen; G C W de Ruiter; W Pondaag; M P Arts; M Fiocco; T J T Hazen; W C Peul; P D S Dijkstra
Journal:  Eur Spine J       Date:  2013-03-02       Impact factor: 3.134

10.  Predictive value of seven preoperative prognostic scoring systems for spinal metastases.

Authors:  Andreas Leithner; Roman Radl; Gerald Gruber; Markus Hochegger; Katharina Leithner; Heike Welkerling; Peter Rehak; Reinhard Windhager
Journal:  Eur Spine J       Date:  2008-09-12       Impact factor: 3.134

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  43 in total

1.  Prediction of life expectancy in patients with spinal epidural metastasis.

Authors:  Ronald H M A Bartels; Godard de Ruiter; Ton Feuth; Mark P Arts
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2.  Non-operative management of spinal metastases: A prognostic model for failure.

Authors:  Andrew J Schoenfeld; Joseph H Schwab; Marco L Ferrone; Justin A Blucher; Tracy A Balboni; Lauren B Barton; John H Chi; James D Kang; Elena Losina; Jeffrey N Katz
Journal:  Clin Neurol Neurosurg       Date:  2019-11-04       Impact factor: 1.876

3.  Laboratory markers as useful prognostic measures for survival in patients with spinal metastases.

Authors:  Andrew J Schoenfeld; Marco L Ferrone; Peter G Passias; Justin A Blucher; Lauren B Barton; John H Shin; Mitchel B Harris; Joseph H Schwab
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5.  A systematic review of prognostic factors predicting survival in patients with spinal bone metastases.

Authors:  L Bollen; W C H Jacobs; Y M Van der Linden; O Van der Hel; W Taal; P D S Dijkstra
Journal:  Eur Spine J       Date:  2017-10-24       Impact factor: 3.134

6.  C-reactive protein and tumour diagnosis predict survival in patients treated surgically for long bone metastases.

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7.  Ambulatory status after surgical and nonsurgical treatment for spinal metastasis.

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Journal:  Cancer       Date:  2019-04-15       Impact factor: 6.860

8.  Image-guided minimally invasive percutaneous treatment of spinal metastasis.

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Journal:  Exp Ther Med       Date:  2017-01-05       Impact factor: 2.447

9.  Molecular phenotype is associated with survival in breast cancer patients with spinal bone metastases.

Authors:  L Bollen; C Wibmer; M Wang; Y M van der Linden; A Leithner; C E Bünger; A B Jensen; M Fiocco; G Bratschitsch; W Pondaag; J V M G Bovée; P D S Dijkstra
Journal:  Clin Exp Metastasis       Date:  2014-10-31       Impact factor: 5.150

10.  The TEACHH model to predict life expectancy in patients presenting for palliative spine radiotherapy: external validation and comparison with alternate models.

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