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Record W4413132555 · doi:10.7759/cureus.89630

Evaluating the Oncologic and Safety Outcomes of High-Dose Palliative Radiation Treatment with 30 Grays in Five Fractions

2025· article· en· W4413132555 on OpenAlexaffabout
Jim Li, Timothy Kong, Emma Dunne, Mitchell Liu, Jee Suk Chang, Tina Wanting Zhang, Matthew Chan, Ronan McDermott

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineRegimenRadiation therapyProportional hazards modelSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Introduction In select tumor sites, symptom palliation and local control can be improved through delivering higher biological equivalent doses (BED) of radiotherapy. However, not all patients are suitable candidates for stereotactic body radiation therapy (SBRT). The 30 Grays in five fractions (30/5) regimen is a conformal, hypofractionated regimen that offers a higher BED compared to conventional palliative radiotherapy. It adheres to the same organ-at-risk constraints as five-fraction SBRT. The planning and set-up processes are optimized to expedite treatment delivery compared to SBRT. This study aims to assess the oncologic and safety profiles of the 30/5 regimen. Methods Clinical data of patients who received the 30/5 regimen between October 2020 and August 2022 at our institution, the BC Cancer Vancouver Centre, were retrospectively reviewed. Local control (LC), distant metastasis-free survival (DMFS), progression-free survival (PFS), time to change in systemic therapy (CIS), and overall survival (OS) were calculated using the Kaplan-Meier method. Survival distributions between groups were compared using the log-rank test. Univariable and multivariable analyses were performed using Cox regression analysis to identify factors associated with the oncologic outcomes. Results Over 22 months, 77 patients received 92 courses of the 30/5 regimen. The median age was 68 years. The median tumor size treated was 11.4 cm3. The most common treatment locations were lung (34%), lymph nodes (21%), non-spine bone (18%), and spine (15%). At a median follow-up of 13.5 months, 29 deaths were observed. The 12-month LC was 66.1% (95% CI: 55.7-76.5%), and the 12-month DMFS, PFS, CIS, and OS were 35.9% (95% CI: 24.5-47.3%), 33.2% (95% CI: 22.0-44.4%), 59.2% (95% CI: 46.8-71.5%), and 72.5% (95% CI: 62.1-82.9%), respectively. The univariable analysis showed that radiosensitive and smaller tumors had better LC outcomes (p=0.005 and <0.001, respectively). These associations remained significant upon multivariable analysis too (p=0.035 and 0.026, respectively). No grade three or higher toxicity was reported. Conclusion The 30/5 regimen demonstrates good local control and favorable safety profile, particularly for small and radiosensitive tumors. Our findings suggest that 30/5 may be a viable alternative palliative regimen for patients who require high-dose radiotherapy, but are not suitable candidates for SBRT or prolonged interruptions in systemic therapy. In resource-limited settings, its hypofractionated approach may help conserve healthcare resources. Future studies are warranted to prospectively evaluate the impact of dosimetric distribution on oncologic outcomes.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.056
GPT teacher head0.399
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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