Multivariate analysis of the prognosis of 37 chondrosarcoma patients
The current study aimedto screen for possible factors which affect prognosis of chondrosarcoma. Thirty seven cases were selected and analyzed statistically. The patients received surgical treatment at our hospital between December 2005 and March 2008. All of them had complete follow-up data. The sur...
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Published in | Asian Pacific journal of cancer prevention : APJCP Vol. 13; no. 4; pp. 1171 - 1176 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Thailand
01.01.2012
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Subjects | |
Online Access | Get full text |
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Summary: | The current study aimedto screen for possible factors which affect prognosis of chondrosarcoma.
Thirty seven cases were selected and analyzed statistically. The patients received surgical treatment at our hospital between December 2005 and March 2008. All of them had complete follow-up data. The survival rates were calculated by univariate analysis using the Kaplan-Meier method and tested by Log-rank. χ2 or Fisher exact tests were carried out for the numeration data. The significant indexes after univariate analysis were then analyzed by multivariate analysis using COX regression model. Based on the literature, factors of gender, age, disease course, tumor location, Enneking grades, surgical approaches, distant metastasis and local recurrence were examined.
Univariate analysis showed that there were significant differences in Enneking grades, surgical approaches and distant metastasis related to the patients' 3-year survival rate after surgery (P<0.001). No significant difference was not found in gender, age, disease course, tumor location or local recurrence (P>0.05). Multivariate analysis showed that Enneking grade (P=0.007) and surgical approaches (P=0.010) were independent factors affecting the prognosis of chondrosarcoma, but distant metastasis was not (P=0.942).
Enneking grades, surgical approaches and distant metastasis are risk factors for prognosis of chondrosarcoma, among which the former two are independent factors. |
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ISSN: | 1513-7368 2476-762X |
DOI: | 10.7314/APJCP.2012.13.4.1171 |