Natural history of dolichoectatic vertebrobasilar aneurysms: a multinational study
Bibliographic record
Abstract
OBJECTIVE: Dolichoectatic vertebrobasilar aneurysms (DVBAs) are expansions of arterial tissue leading to aneurysmal formations without an obvious neck. Their natural history is poorly understood; usually patients are admitted with thromboembolic complications and/or neurological symptoms from the mass effect. There have not been international collective data, and correct timing for highly risky treatments has been under discussion. The goal of this study was to define the natural history of DVBA by long-term follow-up in an international population of patients with DVBA. METHODS: The authors collected data in 382 patients with DVBAs from 11 centers in Europe, the US, and Japan. The patients were followed until new ischemic or hemorrhagic stroke, symptomatic compression of the brainstem or cranial nerves, decline in modified Rankin Scale score, or death. Treatment excluded patients from further analysis. Demographic and radiological characteristics of patients were collected and a new classification was created based on the radiological characteristics of the DVBA. In total 223 patients were treated conservatively in the first phase of treatment. The data required for natural history calculations were available for 221 patients, with a cumulative follow-up of 622.3 patient-years. Kaplan-Meier and Cox regression analyses were used to assess risk factors with an influence on patient outcomes. RESULTS: In total, 21.5% of patients were admitted due to the mass effect, and there were 67 (30%) patient deaths during follow-up, 45 (20.2%) of which were related to aneurysms. The annual mortality and morbidity were 10.8% and 1.6%, respectively. Most of the patients with DVBAs were male, although sex did not affect prognosis when compared to the radiological characteristics of the lesion. The natural history of DVBAs was also impacted by a new classification, in which an age 50 years and older predicted mortality. Furthermore, a DVBA's maximum diameter was directly proportional to adverse events. CONCLUSIONS: This study verifies the malignancy of DVBAs and encourages invasive treatment in the early phase of disease progression based on radiological characteristics and patient age when a treatment option is considered suitable. This also stresses the need for continued investigations to develop new therapeutics with acceptable safety profiles.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".