Evaluation of Oxidative Stress Markers in Post-Surgical Head and Neck Cancer Patients Rehabilitated with Removable Prosthetic Restorations
Bibliographic record
Abstract
The effects of free radicals and chronic oxidative stress are the cause of many diseases, including those of the oral cavity, among which the most important are inflammatory processes and cancer. For this reason, an important element of the body's defense is maintaining proper antioxidant activity. STUDY AIM: To assess oxidative stress parameters in the saliva of patients using removable prostheses after head and neck cancer surgery. MATERIAL AND METHODS: 44 oncological patients operated on for head and neck cancer and 20 healthy edentulous volunteers as a control group. Removable acrylic dentures were prepared for both groups. The material for oxidative stress analysis was saliva: non-stimulated saliva (NWS) and stimulated saliva (SW) after 3 months of prosthetic treatment. RESULTS: Changes in the level of oxidative stress parameters were observed in the study group after 3 months of prosthetic treatment. Specifically, we observed a higher level of deoxyribonucleic acid (DNA)/ribonucleic acid (RNA) damage in oncology patients compared to controls. The levels of protein oxidation products-protein carbonyls, lipid peroxidation products, malondialdehyde (MDA), and nitrotyrosine-were slightly higher in the study group in all measurements. CONCLUSION: Based on this study, it was found that removable prostheses have a minor impact on the level of enzymatic and non-enzymatic oxidative stress parameters. This research suggests an adaptation to prosthetic restorations that results in almost restored redox balance.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".