Investigation of a neuropsychological screen for chemo-fog
Bibliographic record
Abstract
Research on chemotherapy-induced cognitive impairment (the term ‘‘chemo-fog’’ is used by many investigators) supports the occurrence of subtle declines in function for a subset of recipients. Identification of vulnerable individuals via comprehensive neuropsychological batteries is complicated due to their lack of clinical utility and increased risk of misclassification. The goal of this paper was to evaluate the ability of a reduced battery to detect chemotherapy-related cognitive impairments. Data from our previous study (Ouimet et al. J Clin Exp Neuropsychol 31:73–89, 2009) were used to compare a comprehensive neuropsychological test battery comprising 23 tests with a reduced battery consisting of a subset of nine tests. A standardized regression-based approach revealed that a comparable numbers of participants were identified by both batteries, suggesting that individuals vulnerable to chemotherapy-induced cognitive impairment can be identified by a more selective battery. Further work is needed to clarify the neuropsychological tests most sensitive to detecting impairments associated with chemotherapy so that assessment batteries can be limited to these tests.
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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 | 0.002 | 0.007 |
| 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".