Cognitive impairment among cancer patients experiencing chemotherapy
Bibliographic record
Abstract
The aim of the present study was to investigate whether chemotherapy had any particular role on cognitive impairment i.e. difficulties in executive functioning, working memory, naming ability, attention, language, abstraction, orientation, and visuo-spatial constructional and recall ability, among cancer patients in Bangladesh. Sixty cancer patients and thirty healthy individuals were recruited for this study by purposive sampling. Among these cancer patients 30 had experienced chemotherapy and remain 30 had experienced radiotherapy/ surgery/no treatment at all. We used Rey-Osterrieth Complex Figure test and Montreal Cognitive Assessment to investigate cognitive impairment and Bangla version of Depression, Anxiety and Stress Scale to assess emotional distress. Findings revealed that cancer patients in general experience significantly more cognitive difficulties than healthy individuals. Regarding the attention, visual and auditory memory and executive ability the problems are more dominant. Chemotherapy group performed in all aspects of cognitive testing significantly lower than other treatment group. Statistical tests indicated no role of emotional distress on neuropsychological performance. Males with cancer are more vulnerable to cognitive impairment. In a nutshell, this study indicates that cancer patients in Bangladesh experience cognitive impairment and especially patients treated with chemotherapy are more likely to experience cognitive impairment. Dhaka Univ. J. Biol. Sci. 30(3 CSI): 453-464, 2022 (June)
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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 | 0.001 |
| 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".