Cognitive Impairment Related to Chemotherapy in 60 Patients with Advanced Gastric Cancer
Bibliographic record
Abstract
Background: Gastric cancer is one of the most common malignant tumors in the world. In recent years, studies on chemotherapy-induced cognitive impairment have been reported mainly on young women with breast cancer. Only few studies on chemotherapy-related cognitive impairment in patients with gastric cancer. Objective: To investigate the effect of chemotherapy on cognitive function in patients with advanced gastric cancer. Methods: Sixty patients with stage IV gastric cancer who received fluorouracil based chemotherapy were selected as gastric cancer group, including 25 patients with S-1 (S-1 group) and 35 patients with capecitabine (capecitabine group). 60 healthy controls matched with age and education level were recruited as control group. Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Auditory Verbal Learning Test (AVLT) were used to test. Results: There was no significant difference in MMSE, MoCA and AVLT between healthy control group and gastric cancer group before chemotherapy. MMSE, MoCA, immediate memory and delayed memory decreased in gastric cancer patients after chemotherapy (t = 2.206, t = 2.399, t = 2.206, t = 2.654, P < 0.05). There was no significant difference in MMSE, MoCA and AVLT between S-1 group and capecitabine group before and after chemotherapy. Conclusion: Patients with gastric cancer will have chemotherapy-related cognitive dysfunction after chemotherapy. It is necessary to evaluate and guide or treat patients with cognitive function, so as to improve the quality of life of 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".