A Study of the Effect of Treatment On the Clinical Profile, Pain, and Disability in Migraine Patients Seen in a Tertiary Hospital
Bibliographic record
Abstract
Background: Migraine is a disabling disease that poses a significant societal burden. Migraine is a major cause of disability. Migraine is the eighth leading disease-causing disability in the population. Objective: To study the clinical profile and measure the pain and migraine-related disability of patients with all types of migraine using the McGill pain assessment scale and Migraine Disability Assessment (MIDAS) before and after 3 months of effect on the medication. Methods: A Prospective-Cross sectional study was carried out in a multispecialty hospital with male and female patients between 18 and 65 years. The data were collected from the patients directly through the questionnaire of McGill pain assessment scale-short form (SF) and MIDAS, which was provided before and after the medication. Results: There were 165 subjects of which 52 were men and 113 were women. The mean age of all the subjects was 43 years. About 26.06% of the subjects had a family history of headaches. The scores of McGill pain and MIDAS assessment before and after medication were as follows: 0-15 were 30.90% and 73.33%, Score 16-30 were 54.54% and 18.18%, the score of 31-45 were 14.54% and 7.87% of the subjects. MIDAS grade I was 17.57% and 50.90%, Grade II 33.93% and 21.81%, Grade III 30.30% and 15.75% Grade IV 18.18% and 11.51% of the subjects. Discussion: -test was 13.85 and 17.49 respectively. As the calculated "t" value is more than the table value, the alternate hypothesis is accepted. Conclusion: This study confirms that there is a significant difference in disability levels before and after acute and preventative treatments when measured over 3 months. In addition, the preponderance of females was high, and the functional disability that affects work and social activity associated with migraine is moderate to severe.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".