The Psychological and Cognitive Landscape of Adult Idiopathic Intracranial Hypertension
Bibliographic record
Abstract
Purpose of Review: Idiopathic intracranial hypertension (IIH) is a chronic headache disorder with increasing prevalence. Although characterized by raised intracranial pressure causing papilledema with a risk of visual impairment, psychological symptoms such as depression, anxiety, and cognitive impairment are frequently seen but are understudied and under-reported. Together, these can negatively affect quality of life. These were explored through a systematic PRISMA scoping review. OVID, EMBASE, Cochrane, and PubMed databases were searched in April 2023, limited to those in English and published during January 2000-March 2023. PROSPERO ID CRD42023399410. Recent Findings: From 454 identified studies, 24 relevant articles were identified from a range of countries including the United Kingdom, the United States, Israel, Egypt, Canada, Germany, and Brazil. Data on study design, participants, tests performed, and outcomes were collated. There is a considerable burden of psychiatric, affective, and cognitive conditions, as well as impaired quality of life, in adult patients with IIH. Notably, these were independently correlated with the presence of headache in a number of studies and with obesity in others. Summary: Aside from optimizing symptom control, including reducing the severity of headaches and protecting visual function, clinicians should be mindful of the biopsychosocial difficulties and potential cognitive impairments patients with IIH face. Assistance may be required with managing concurrent depression and anxiety, as well as optimizing cognitive function. Incorporating neuropsychological assessment and individualized management strategies may be beneficial at the point of diagnosis and throughout the illness.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".