Neurologic Complications in Hereditary Hemorrhagic Telangiectasia with Pulmonary Arteriovenous Malformations: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant multi-organ condition occurring with a 1 in 3800 prevalence in Alberta. This genetic disorder leads to vascular malformations in different organs including the lungs and brain, commonly affecting pulmonary vasculature leading to pulmonary arteriovenous malformations (PAVMs). PAVMs lead to right-to-left shunts, which may be associated with neurologic complications. We aimed to evaluate and summarize the reported neurologic manifestations of individuals with HHT with pre-existing PAVMs. METHODS: We performed a qualitative systematic review to determine available literature on neurological complications among patients with PAVMs and HHT. Published studies included observational studies, case studies, prospective studies, and cohort studies including search terms HHT, PAVMs, and various neurologic complications using MEDLINE and EMBASE. RESULTS: = 15). PAVMs were addressed in all these articles in association with various neurological conditions ranging from cerebral abscess, ischemic stroke, hemorrhagic stroke, embolic stroke, and migraines. CONCLUSION: Although HHT patients with PAVMs are at risk for a variety of neurological complications compared to those without PAVMs, the quality and volume of evidence characterizing this association is low. Individuals with PAVMs have a high prevalence of neurological manifestations such as cerebral abscess, transient ischemic attack, cerebral embolism, hemorrhage, and stroke. Mitigating stroke risk by implementing proper standardized screening techniques for PAVMs is invaluable in preventing increased mortality.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".