Cognitive performance in patients with chronic tension-type headache and its relation to neuroendocrine hormones
Bibliographic record
Abstract
Abstract Background Tension-type headache is the most common headache to be seen in clinical practice. Depression is highly prevalent in chronic tension-type headache (CTTH) patients attending the clinical settings. Cognitive impairment and neuroendocrine dysregulation had been reported in patients with depression and patients with CTTH. Objective To assess the cognitive performance and investigate its possible relations to neuroendocrine levels in patients with CTTH. Subjects and methods Patients with CTTH, depression, and control subjects were recruited. CTTH was diagnosed according to the International Classification of Headache Disorders. Cognitive performance, depression severity, and pain intensity were assessed by the Montreal Cognitive Assessment Arabic version, Beck’s Depression Inventory, and McGill Pain Questionnaire respectively. Blood samples were collected in the morning within 60 min after waking up from 8:00 to 9:00 a.m. to measure serum levels of basal plasma CRH, ACTH, Cortisol, TSH, FT3, and FT4. Results Both patients with CTTH and depression had impaired cognitive performance. Patients with CTTH and patients with depression had altered the hypothalamus-pituitary-adrenal axis, and pituitary-thyroid axis. The hormonal levels significantly correlated with cognitive function in patient groups, especially patients with CTTH. Conclusion Patients with CTTH had cognitive dysfunction which could be related to neuroendocrine hormonal dysregulation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".