What is idiopathic in normal pressure hydrocephalus?
Bibliographic record
Abstract
INTRODUCTION: Normal pressure hydrocephalus (NPH) can be caused by acquired events - e.g. subarachnoid hemorrhage, meningitis, or trauma - or can be "idiopathic" (iNPH) when no clear cause is identifiable. The entity and nosology of iNPH has received renewed attention and has recently gone through scrutiny and academic debate. EVIDENCE ACQUISITION: Authors searched PubMed using the following keywords: "adult hydrocephalus," "alfa synuclein," "Alzheimer's disease," "beta-amyloid," "cerebrospinal fluid," "cilia," "CSF," "genes," "hydrocephalus," "idiopathic," "Lewy Body Dementia," "phosphorylated tau," "shunt responsiveness". EVIDENCE SYNTHESIS: During the past decades several studies have reshaped our view of iNPH, examples are the identification of monogenic forms of iNPH caused by genes involved in the structure and function of cilia or the discovery of the glymphatic system. This review will discuss the causes of iNPH and particularly the relationship with neurodegeneration in terms of: 1) coincidental association; 2) iNPH predisposing to neurodegeneration, 3. neurodegeneration predisposing to iNPH, and 4. independent processes (genetic and environmental) predisposing to both. Based on the gathered evidence, a unified model is then presented, characterized by three sequential events: impairment of CSF dynamic, occurrence of reversible signs, occurrence of irreversible signs. CONCLUSIONS: Almost 70 years after its description, a growing literature on its basic mechanisms is clarifying that iNPH is a syndrome with pathogenetic mechanisms arising from different causes. The paradigm shift has been recognizing that iNPH is not just a CSF disorder but rather a brain disorder expressing with ventriculomegaly. Finally, the better understanding of what causes iNPH support the proposal of changing its name into "Hakim's disease."
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".