Effects of Radiotherapy for Malignancy in Systemic Sclerosis: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: Concerns regarding offering radiotherapy to patients with systemic sclerosis (SSc) stem from the potential worsening of SSc manifestations and radiotherapy toxicity. We conducted a systematic review to evaluate the effects of radiotherapy on SSc outcomes and radiotherapy-related toxicity. METHODS: MEDLINE, Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were searched for SSc and radiotherapy. Inclusion criteria were SSc diagnosis, subsequent cancer development, and radiotherapy exposure. Outcomes were SSc manifestations (cutaneous thickening, pulmonary fibrosis, and SSc flare) and radiotherapy toxicity (acute and late) using Common Terminology Criteria for Adverse Events for grading. Grade 1 and 2 toxicities were categorized as nonsevere and grade 3 to 5 toxicities as severe. RESULTS: Of 121 patients with SSc undergoing radiotherapy (mean age 56.4 years, 83.3% female, median radiotherapy dose 50 Gy), most did not show worsened SSc skin thickening (74.5%) or pulmonary complications (74%) post radiotherapy. In retrospective studies, the average rates of acute adverse effects were 57.3% for nonsevere and 25.8% for severe, whereas the rates of late adverse effects were 32.4% for nonsevere and 24% for severe. CONCLUSION: Although most patients with SSc do not exhibit significant worsening of SSc manifestations post radiotherapy, there is a variable risk of acute and late toxicity. These findings suggest that although radiotherapy may be a viable option for patients with cancer with SSc, it requires caution.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".