Bibliographic record
Abstract
Migraine and Major Depressive Disorder (MDD) are highly prevalent conditions that can lead to significant disability. These conditions are often comorbid, and several studies shed light on the underlying reasons for this comorbidity. The purpose of this review article is to have a closer look at the epidemiology, pathophysiology, genetic and environmental factors, temporal association, treatment options, and prognosis of patients suffering from both conditions, to allow a better understanding of what factors underlie this comorbidity. Studies show that patients with migraine are 2-4-times more likely to develop lifetime MDD, predominantly due to similar underlying pathophysiologic and genetic mechanisms. There appears to be a bidirectional temporal association between the two conditions, although longitudinal studies are needed to determine this more definitively. Quality-of-life and health-related outcomes are worse for patients that suffer from both conditions. Thus, a careful assessment of the patient with access to appropriate resources and follow-up is paramount. Future studies in genetics and brain imaging will be helpful in further elucidating the underlying mechanisms in these comorbid conditions, which will hopefully lead to better treatment options.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.001 | 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 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".