We have located links that may give you full text access.
Factors associated with non-completion of palliative radiotherapy for spinal metastasis in patients with terminal cancer: a retrospective study.
Annals of Palliative Medicine 2024 March
BACKGROUND: Predictors of non-completion of radiotherapy (RT) should be identified to determine the optimal RT dose. Therefore, this study aimed to explore factors associated with non-completion of palliative RT in patients with terminal cancer.
METHODS: In this retrospective study, patients with terminal cancer who received RT (not including single-fraction RT) for relief of pain caused by spinal metastasis were categorized into complete and incomplete groups. Baseline characteristics, hematologic test data [e.g., total lymphocyte count (TLC)], performance status, palliative performance scale (PPS) score, psoas muscle index (PMI), Charlson comorbidity index, and age-adjusted Charlson comorbidity index of the patients were compared between the two groups.
RESULTS: The complete group comprised 58 patients (median age: 68 years; female/male: 17/41; number of irradiation fractions: ≥2 to <10, 20 patients; 10, 34 patients; and >10, 4 patients), and the incomplete group comprised 9 patients (median age: 68 years; female/male: 3/6; number of irradiation fractions: ≥2 to <10, 2 patients; 10, 7 patients; and >10, 0 patient). The proportion of patient death within 1 week or 1 month was higher in the incomplete group than in the complete group. Compared with that in the incomplete group, TLC measured 1 week before RT (pre-TLC) and PMI recorded before RT were significantly higher in the complete group (P=0.013 and P=0.012, respectively). In multivariable analyses, pre-TLC was significantly associated with the incomplete group (P=0.048). Compared with the complete group, the incomplete group included several patients whose PPS scores rapidly decreased.
CONCLUSIONS: Pre-TLC can predict non-completion of palliative RT in patients with terminal cancer.
METHODS: In this retrospective study, patients with terminal cancer who received RT (not including single-fraction RT) for relief of pain caused by spinal metastasis were categorized into complete and incomplete groups. Baseline characteristics, hematologic test data [e.g., total lymphocyte count (TLC)], performance status, palliative performance scale (PPS) score, psoas muscle index (PMI), Charlson comorbidity index, and age-adjusted Charlson comorbidity index of the patients were compared between the two groups.
RESULTS: The complete group comprised 58 patients (median age: 68 years; female/male: 17/41; number of irradiation fractions: ≥2 to <10, 20 patients; 10, 34 patients; and >10, 4 patients), and the incomplete group comprised 9 patients (median age: 68 years; female/male: 3/6; number of irradiation fractions: ≥2 to <10, 2 patients; 10, 7 patients; and >10, 0 patient). The proportion of patient death within 1 week or 1 month was higher in the incomplete group than in the complete group. Compared with that in the incomplete group, TLC measured 1 week before RT (pre-TLC) and PMI recorded before RT were significantly higher in the complete group (P=0.013 and P=0.012, respectively). In multivariable analyses, pre-TLC was significantly associated with the incomplete group (P=0.048). Compared with the complete group, the incomplete group included several patients whose PPS scores rapidly decreased.
CONCLUSIONS: Pre-TLC can predict non-completion of palliative RT in patients with terminal cancer.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app