Abstract
Objective To explore the prognostic factors of middle and advanced esophageal neoplasms treated by traditional Chinese medicine combined with radiotherapy. Methods A total of 462 esophageal neoplasms patients treated by traditional Chinese medicine combined with radiotherapy from March 2009 to March 2012 in Civil Administration Hospital of Hebei Province were retrospectively analyzed. The overall median survival time and the survival rate of 1, 3 and 5 years were calculated by using life table. Log-rank test was used for single-factor analysis and Cox model was used for multiple-factor analysis. Results The median survival time of 462 esophageal neoplasm patients was 24.2 months (12.9-36.6 months). The survival rate of 1, 3 and 5 years was 80.3 %, 30.6 % and 10.5 % respectively. Single-factor analysis showed that the age (χ 2 = 89.773, P = 0.000), tumor diameter (χ2 = 102.373, P = 0.000), clinical staging (χ 2 = 128.903, P = 0.000), concomitant with other diseases (χ 2 = 65.366, P = 0.000) and the short term effect (χ 2 = 64.948, P = 0.000) were associated with prognosis of middle and advanced esophageal neoplasms treated by traditional Chinese medicine combined with radiotherapy. Multiple-factor analysis showed that the age (RR = 1.625, 95 % CI 1.251-2.111, P = 0.000), clinical staging (RR = 2.437, 95 % CI 1.874-3.168, P = 0.000), concomitant with other diseases (RR = 1.1.628, 95 % CI 1.278-2.076, P = 0.000) and the short term effect (RR = 1.865, 95 % CI 1.594-2.182, P = 0.000) were the independent prognosis factors for middle and advanced esophageal neoplasms treated by traditional Chinese medicine combined with radiotherapy. Conclusion Elderly patients, esophageal neoplasms in stage Ⅲ, concomitant with other diseases and poor short-term effect could influence the prognosis of the patients with middle and advanced esophageal neoplasms treated by traditional Chinese medicine combined with radiotherapy. Key words: Esophageal neoplasms; Medicine, Chinese traditional; Drugs, Chinese herbal; Radiotherapy, computer-assisted; Prognosis; Risk factors
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