Cognitive dysfunction associated with pain and quality of life in chronic rhinosinusitis
Bibliographic record
Abstract
BACKGROUND: Cognitive dysfunction and its relationship to both pain and disease-specific quality of life (QOL) in chronic rhinosinusitis (CRS) have not been investigated previously. We sought to analyze the correlations of pain and disease-specific QOL with cognitive function in CRS. METHODS: Adults with CRS were prospectively enrolled in a cross-sectional study. Participants' cognitive function was assessed using the Cognitive Failures Questionnaire. Pain was characterized using the Short-Form McGill Pain Questionnaire (SF-MPQ) and the Brief Pain Inventory Short Form. Disease-specific QOL was ascertained using the Rhinosinusitis Disability Index (RSDI) and 22-item Sinonasal Outcome Test (SNOT-22). Disease severity was assessed using nasal endoscopy and computed tomography. Bivariate correlations of pain and cognitive dysfunction, disease-specific QOL, and clinical measures of disease severity were ascertained. RESULTS: In patients with CRS (n = 70) there was a significant correlation between cognitive dysfunction and pain severity scores (Spearman's correlation [R(s)] = 0.321, p < 0.01). A similar correlation was identified with pain interference (R(s) = 0.317, p < 0.01) and cognitive dysfunction scores. This is mirrored by a significant correlation between another measure of pain severity, the SF-MPQ and cognitive dysfunction (R(s) = 0.498, p < 0.01). In patients with CRS there was a significant correlation between disease-specific QOL scores and cognitive function scores as measured by the SNOT-22 (R(s) = 0.395, p < 0.01) and the RSDI (R(s) = 0.528, p < 0.01). CONCLUSION: In patients with CRS, increasing pain and worse QOL are associated with cognitive dysfunction. Possible mechanisms for this cognitive dysfunction include differential neural activation secondary to chronic pain and/or the sequela of a chronic inflammatory state.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".