[Assessment of the clinical symptoms and treatment tolerance in patients with non-small cell lung cancer (NSCLC) undergoing first-line chemotherapy and pulmonary rehabilitation].
Bibliographic record
Abstract
UNLABELLED: In Poland lung cancer is the most commonly occurring cancer type, both in men and women. Among the most important concerns related to this disease are clinical symptoms caused by deteriorating physical condition and intolerance to chemotherapy. The aim of this work was the assessment of the clinical symptoms and treatment tolerance in patients with non-small cell lung cancer (NSCLC) undergoing first-line chemotherapy and pulmonary rehabilitation. MATERIALS AND METHODS: 90 patients with inoperable NSCLC have undergone the examination. This included 69 men and 21 women aged between 46-75 years (average age 61.5 +/- 8.2 years). These were divided into 3 groups: group 1--30 patients undergoing standard chemotherapy; group II--30 patients undergoing standard chemotherapy and pulmonary rehabilitation; group Ill--30 patients undergoing standard chemotherapy and pulmonary rehabilitation with additional vitamin C supplementation. Clinical symptoms intensification was assessed using the ESAS scale (Edmonton Symptom Assessment System), by comparing the initial score with that after 6 weeks of chemotherapy in each individual. RESULTS: In groups II and III, where pulmonary rehabilitation was carried out, the intensification of the clinical symptoms and lowering of the tolerance for the treatment after 6 weeks of first-line chemotherapy were significantly lower (p < 0.05) than in group I. CONCLUSIONS. Pulmonary rehabilitation significantly limits the side effects of chemotherapy and the deterioration of the state of patients with NSCLC. Simultaneous supplementation with ascorbic acid increases the positive effects of pulmonary rehabilitation in those patients.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".