INTEGRATION OF ASSESSMENT SCALES FOR THE DIAGNOSIS OF CHRONIC MIGRAINE AND TENSION-TYPE HEADACHE
Bibliographic record
Abstract
Introduction. Chronic headache, including migraine and tension-type headache, affects a significant proportion of the population worldwide, posing a serious challenge to the healthcare system. Although diagnostic techniques are constantly improving, the definition of chronic primary headache remains a challenging task. Aim. To evaluate the effectiveness of integrating specialized scales and questionnaires to improve the diagnosis and prognosis of chronic tension-type headache and chronic migraine. Materials and methods. The study included 61 individuals diagnosed with “Chronic Tension Headache” (CTH) or “Chronic Migraine” (CM) (according to the International Classification of Headache-3), and 18 individuals control group without chronic headache. All patients underwent a clinical and neurological examination and assessment using scales and questionnaires that determined the qualitative and quantitative characteristics of pain, concomitant symptoms, and quality of life of patients. To determine the discriminatory ability of the questionnaires used in the study for differentiating between CTH and CM, a correlation analysis and ROC curve were conducted. Results. The study revealed mainly strong direct correlations between the results of the McGill pain questionnaire (MPQ), the headache severity questionnaire НIT-6, the hospital anxiety and depression scale (HADS) and the visual analogue scale (VAS) in patients. A direct relationship was determined between the intensity of pain on the visual analogue scale and the HIT-6 score. The best operational characteristics (the highest sensitivity and specificity, AUC) were: the headache severity questionnaire HIT-6 (Se=96.67%; Sp=96.77%; AUC=0.990; p<0.01); MPQ: motivational-affective component (Se=100%; Sp=87.1%; AUC=0.990; p<0.01); visual analogue scale (Se=90%; Sp=96.77%; AUC=0.981; p<0.01); and the McGill pain questionnaire: sensory-discriminative component (Se=96.67%; Sp=100%; AUC=0.971; p<0.01). Conclusions. The HIT-6, Visual Analogue Scale and McGill Pain Questionnaire (motivational-affective and sensory-discriminative components) can be used as an additional tool for differentiating chronic tension-type headache from chronic migraine in patients. The prediction of the course of chronic migraine and chronic headache using questionnaires and scales depends on the severity of anxiety and depression, quality of life indicators and pain characteristics. Questionnaires and scales are relevant additional diagnostic methods in establishing the diagnosis of primary headache.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".