Effectiveness of Carbon Ion Radiotherapy for Bone and Soft Tissue Sarcoma in Older Patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/AIM: The aging population is expected to increase the occurrences of bone sarcoma (BS) and soft tissue sarcoma (STS). Carbon ion radiotherapy (CIRT) is reported to be effective for BS and several STSs. However, the effect of CIRT on clinical outcomes, functional prognoses, and quality of life (QOL) in older patients who underwent CIRT has not been reported. Therefore, we aimed to evaluate the effect of CIRT on clinical outcomes, functional prognoses and QOL in older patients with BS or STS. PATIENTS AND METHODS: This retrospective cohort study included 235 patients aged >70 years with BS or STS who underwent CIRT. Overall survival (OS), cancer-specific survival (CSS), and local control (LC) were evaluated in chordoma and non-chordoma patients. Furthermore, factors associated with post-CIRT Toronto Extremity Salvage Score (TESS) and EuroQoL 5-dimension 5-level (EQ-5D-5L) index were assessed. RESULTS: The overall 5-year LC, OS, and CSS rates were 81%, 62%, and 76%, respectively. In the chordoma and non-chordoma groups, the 5-year LC, OS, and CSS rates were 84%, 72%, and 87%; and 77%, 47%, and 60%, respectively. The mean post-CIRT TESS and EQ-5D-5L index were 75% and 0.71, respectively. The TESSs and EQ-5D-5L indices tended to be better among males, younger patients (<76 years old), patients with small tumor volumes, and patients with chordoma. CONCLUSION: CIRT is effective for older patients with BS, especially with chordoma, and STS with good LC and survival rates. Furthermore, post-treatment limb function and QOL were comparable with those of the other treatments and age groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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 it