Quality of life in patients with pan-cancer undergoing concurrent chemoradiotherapy: a bibliometric analysis (1995-2024)
Bibliographic record
Abstract
Background: Chemoradiotherapy is a therapeutic approach that prolongs survival but may simultaneously negatively affect the quality of life (QOL) of cancer patients. Current research on quality of life (QOL) in pan-cancer patients undergoing concurrent chemoradiotherapy (CCRT) lacks systematic integration of bibliometric findings with clinical symptom data. Methods: We retrieved 2762 articles from the Web of Science Core Collections. R-bibliometrix, VOSviewer, and CiteSpace were employed to conduct quantitative analysis and visualize research trends and factors influencing QOL. Complementarily, a cross-sectional study of 117 cervical cancer patients assessed symptom prevalence via CTCAE v5.0, with symptom clusters identified. Results: The included articles were published between 1995 and 2024. The results revealed that the United States and China had the largest number of publications worldwide. Van Berge Henegouwen was the most productive author. The institution leading in this field was the University of Toronto. The International Journal of Radiation Oncology - Biology - Physics was the most productive journal. In addition, keywords with high burst strengths in recent years were 'open label', 'predictor', and 'preoperative chemoradiotherapy'. Tree-ring map of terms related to QOL was visualized and multiple clusters were found, respectively named as "malnutrition", "watch and wait", and so on. Clusters analyses of specific cancers were performed to reveal these unique differences. Finally, among cervical cancer patients, decreased appetite (79.5%), diarrhea (65.8%), and altered taste (59.0%) were the most prevalent symptoms, with three symptom clusters identified. Conclusion: More attention was paid to long-term outcome and patient experience during treatment. Through pan-cancer research and in-depth analysis of specific cancers, we have identified various factors affecting QOL in patients undergoing chemoradiotherapy, including treatment methods, treatment-induced symptoms, psychological factors and so on, enabling us to tailor more personalized treatment plans that improve their overall well-being and enhance QOL during and after treatment.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.070 | 0.104 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".