Cognitive Function in Breast Cancer Patients Receiving Adjuvant Chemotherapy
Bibliographic record
Abstract
PURPOSE: Breast cancer patients receiving chemotherapy have complained of difficulties in their ability to remember, think, and concentrate. This study assessed whether there are differences in cognitive function between breast cancer patients treated with standard-dose adjuvant chemotherapy compared with healthy controls. PATIENTS AND METHODS: The High Sensitivity Cognitive Screen and the Profile of Mood States (POMS) were used to assess cognitive function and mood in a group of 107 women. The women consisted of 31 breast cancer patients receiving adjuvant chemotherapy (group A), 40 breast cancer patients who had completed adjuvant chemotherapy a median of 2 years earlier (group B), and 36 healthy controls (group C). RESULTS: Univariate analysis showed statistically significant differences (P =.009) in overall cognitive function scores between groups A and C, with poorer function in patients receiving adjuvant chemotherapy. These differences remained significant (P =.046) when controlling for age, education level, and menopausal status. More patients had moderate or severe cognitive impairment in groups A and B than in controls (P </=.002). There were no significant differences in POMS scores between the groups, suggesting that the differences seen in cognitive scores were unlikely to be because of mood disturbance. CONCLUSION: Cognitive differences were observed in breast cancer patients receiving adjuvant chemotherapy compared with healthy controls. These differences did not seem to be caused by significant differences in mood disturbance between the two groups. If confirmed, these results have substantial implications for informed consent, counseling, and psychosocial support of patients receiving adjuvant chemotherapy for breast cancer.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".