Prevalence and Correlates of Chemotherapy-Induced Cognitive Impairment in Cancer Patients at Mahavir Cancer Sansthan, Patna: A Cross-Sectional Study
Bibliographic record
Abstract
Cancer-related cognitive impairment (CRCI) significantly impacts the quality of life of cancer survivors, yet awareness of its effects remains limited. This cross-sectional study at Mahavir Cancer Sansthan, Patna, assessed the proportion of cognitive impairment among 140 chemotherapy-treated cancer patients using the Montreal Cognitive Assessment (MoCA). Findings revealed that 78.5% (110 patients) exhibited cognitive deficits, particularly in attention and memory, while only 30 showed no impairment. The study highlights the high prevalence of CRCI, emphasizing the need for early detection and supportive care in oncology practice. Although no significant correlations were found between cognitive impairment and variables like age, gender, or cancer stage, the results align with existing evidence of chemotherapy-induced cognitive dysfunction. The study underscores the necessity for further research to identify predictors of CRCI and develop targeted interventions. Oncology nurses play a crucial role in educating patients and managing cognitive side effects, ensuring better survivorship care. This study serves as a foundational step in addressing CRCI in Bihar’s cancer population, advocating for integrated cognitive assessments in treatment protocols to improve patient outcomes..
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".