Physiological, vestibulo-ocular and cervicogenic post-concussion disorders: An evidence-based classification system with directions for treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To present a novel pathophysiological approach to acute concussion and post-concussion syndrome (PCS). RESEARCH DESIGN: Review of the literature. METHODS AND PROCEDURES: PubMed searches were performed to identify articles related to the pathophysiology and treatment of concussion and PCS. Relevant articles that contributed to the primary objective of the paper were included. MAIN OUTCOME AND RESULTS: This paper presents an evidence-based approach to acute concussion and PCS that focuses on the identification of specific post-concussion disorders (PCDs) caused by impairments in global brain metabolism (Physiologic PCD) or neurological sub-system dysfunction (Vestibulo-ocular PCD and Cervicogenic PCD) that can be distinguished by features of the clinical history, physical examination and treadmill exercise testing. This novel approach also allows for the initiation of evidence-based, multi-disciplinary therapeutic interventions that can improve individual symptoms and promote efficient neurological recovery. CONCLUSION: Future studies incorporating neuro-imaging and exercise science techniques are underway at the author's institutions to validate this novel pathophysiological approach to acute concussion and PCS.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.000 |
| 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 it