Impact of Fatigue on Subjective and Objective Cognitive Functions in Persons with Post-COVID-19 Condition
Bibliographic record
Abstract
Post-COVID-19 condition (PCC) is a serious debilitating condition that develops after the resolution of an acute infection of severe acute respiratory syndrome-associated coronavirus 2. Some commonly reported symptoms include fatigue and cognitive deficits. Multiple lines of evidence have indicated fatigue to be associated with cognitive deficits in the general population. Herein, we perform a secondary analysis of the effects of fatigue on subjective and objective cognition in persons with PCC using a generalized linear model. In this study, fatigue was measured using the Fatigue Severity Scale (FSS) and cognition was measured using the Digit-Symbol Substitution Test (DSST) and the Trails Making Test parts A and B (TMT-A/B). FSS had a statistically significant negative correlation with DSST and TMT-A/B scores. Fatigue serves as a possible target for the development of PCC therapeutics. Fatigue and cognition correlates should be further investigated for underlying neurobiological substrates in persons with PCC.
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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 | 0.001 |
| 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) | 0.002 | 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".