Comparative Efficacy of Whole-Brain Radiotherapy with and without Elemene Liposomes in Patients with Multiple Brain Metastases from Non-Small-Cell Lung Carcinoma
Bibliographic record
Abstract
PURPOSE: We explored and compared the clinical effects of whole-brain radiotherapy (wbrt) with and without elemene liposomes in patients with multiple brain metastases from non-small-cell lung carcinoma (nsclc). METHODS: We retrospectively analyzed 62 patients with multiple brain metastases from nsclc who received wbrt (30 Gy in 10 fractions) at Shengjing Hospital of China Medical University from January 2012 to May 2013. In 30 patients, elemene liposomes (400 mg) were injected intravenously via a peripherally inserted central catheter for 21 consecutive days from the first day of radiotherapy. Overall survival (os) and nervous system progression-free survival (npfs) for the two groups were compared by Kaplan-Meier analysis. Factors influencing npfs were examined by Cox regression analysis. Chi-square or Fisher exact tests were used for group comparisons. RESULTS: The median os was 9.0 months in the wbrt plus elemene group and 7.8 months in the wbrt-alone group (p = 0.581); the equivalent median npfs durations were 5.2 months and 3.7 months (p = 0.005). Patient treatment plan was an independent factor associated with npfs (p = 0.002). Tumour response and disease-control rates in the wbrt plus elemene group were 26.67% and 76.67% respectively; they were 18.75% and 62.5% in the wbrt group (p = 0.452). Compared with the patients in the wbrt-alone group, significantly fewer patients in the wbrt plus elemene group developed headaches (p = 0.04); quality of life was also significantly higher in the wbrt plus elemene group both at 1 month and at 2 months (p = 0.021 and p = 0.001 respectively). CONCLUSIONS: The addition of elemene liposomes to wbrt might prolong npfs in patients with multiple brain metastases from nsclc, while also reducing the incidence of headache and improving patient quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".