A Narrative Review of Persistent Post‐Stroke Headache – A New Entry in the International Classification of Headache Disorders, 3rd Edition
Bibliographic record
Abstract
BACKGROUND: Persistent post-stroke headache is a clinical entity that has recently entered the International Classification of Headache Disorders, 3rd edition. In contrast to acute headache attributed to stroke, the epidemiology, clinical features, potential pathophysiology, and management of persistent post-stroke headache have not been reviewed. METHODS: We summarize the literature describing persistent headache attributed to stroke. RESULTS: Persistent headache after ischemic or hemorrhagic stroke affects up to 23% of patients. These persistent headaches tend to have tension-type features and are more frequent and severe than acute stroke-related headaches. Risk factors include younger age, female sex, pre-existing headache disorder, and comorbid post-stroke fatigue or depression. Other factors including obstructive sleep apnea or musculoskeletal imbalances may contribute to headache persistence. Although more evidence is needed, it may be reasonable to treat persistent post-stroke headache according to headache semiology. CONCLUSION: Recognition of persistent post-stroke headache as a separate clinical entity from acute stroke-attributed headache is the first step toward better defining its natural history and most effective treatment strategies.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".