Post-craniotomy headache: A proposed revision of IHS diagnostic criteria
Bibliographic record
Abstract
Seventy-nine patients with intracranial aneurysms were evaluated in the presurgical period, and followed up to 6 months after surgery. We compare patients who fulfilled with those that did not post-craniotomy headache (PCH) diagnostic criteria, according to the International Classification of Headache Disorders. Semistructured interviews, headache diaries, Short Form-36 and McGill Pain Questionnaire were used. Seventy-two patients (91%) had headaches during the follow-up period. The incidence of PCH according to the International Headache Society diagnostic criteria was 40%. Age, sex, type of surgery, temporomandibular disorder, vasospasm, presence and type of previous headaches, and subarachnoid haemorrhage were not related to headache classification. There were no differences in the quality of life, headache frequency and characteristics or pain intensity between patients with headache that fulfilled or not PCH criteria. We proposed a revision of the diagnostic criteria for PCH, extending the headache outset after surgery from 7 to 30 days, and including the presence of headaches after surgery in patients with no past history of headaches, or an increase in headache frequency during the first 30 days of the postsurgical period followed by a decrease over time. Using these criteria we would classify 65% of our patients as having PCH.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".