From Psychoneurosis to ICHD‐2: An Overview of the State of the Art in Post‐Traumatic Headache
Bibliographic record
Abstract
Post-traumatic headache (PTH) is an important public health issue - head injuries are common, headache is the most common sequelae of head injuries, and PTH can be particularly disabling. Fortunately, for most individuals with PTH, the headache gradually dissipates over a period of several days, weeks, or months either spontaneously or aided by non-pharmacologic and/or pharmacologic management. Regrettably, for a minority of head-injured individuals, the PTH is intractable and disabling despite aggressive and comprehensive treatment. Unfortunately, there are many prejudices against individuals with PTH. Frequently, the presence or absence of litigation and/or the mechanism of head injury (sports-related trauma, slip-and-fall injury, motor vehicle accident, or military service-related injury) biases physicians' views on the legitimacy of the patient's PTH. Accordingly, this review attempts to summarize the state of the art of our understanding of PTH. This clinical review highlights: (a) views on PTH throughout the last few centuries, (b) the ICHD-2 classification of PTH, (c) the epidemiology of head injuries and PTH, (d) the clinical characteristics of PTH, (e) PTH related postconcussive symptoms, (f) pathophysiology of PTH, (g) evaluation of PTH, and (h) management of PTH.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".