Prospective memory in multiple sclerosis: clinical utility of the <i>Miami Prospective Memory Test</i>
Bibliographic record
Abstract
Objective: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that frequently affects cognition. Persons with MS (PwMS) complain of difficulties with prospective memory (PM), the capacity to remember to perform an intended action at the appropriate moment in the future. The objective of this study was to assess the clinical utility of the Miami Prospective Memory Test (MPMT) in detecting PM deficits in MS. The test is brief, easy to administer and accessible, and allows direct comparison between scores on event- and time-based conditions. A secondary objective was to examine the relationship between PM performance and cognitive functioning. Method: Eighty-four PwMS between 27 and 78 years old were compared to 50 age-, sex- and education-matched healthy adults on the MPMT. Results: Time-based (TB) scores, but not event-based (EB) scores, were significantly lower in PwMS than in healthy adults. The MPMT showed good internal consistency, and correlations were found with disability assessed by the Expanded Disability Status Scale (EDSS). PM was also correlated with memory and executive/attention functioning. Conclusions: This study supports the clinical utility of the MPMT in assessing the presence of PM deficits in PwMS especially under TB constraints.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".