THE CLINICAL SIGNIFICANCE OF AMBULATORY BLOOD PRESSURE ON CEREBRAL SMALL VESSEL DISEASE. A SYSTEMATIC REVIEW AND META-ANALYSIS OF THE LITERATURE
Bibliographic record
Abstract
PURPOSE OF REVIEW: Blood pressure (BP) is involved in the pathogenesis of cerebral small vessel disease (CSVD) and clinical research confirms this strong correlation. Data showing whether daytime or nighttime BP is the most important variable of CSVD are conflicting. Therefore, the purpose of this meta-analysis is to evaluate the impact daytime and nighttime BP in terms of CSVD correlation. Additionally, we evaluated the role of nocturnal BP variation for the same purpose. RECENT FINDINGS: We systematically searched PubMed and Scopus databases to extract data evaluating the association between different ABPM components (24 h, day- and nighttime BP, dipping patterns) and imaging features of CSVD (white matter hypersensitivies, lacunes, cerebral microbleeds). Study quality was evaluated with the Newcastle-Ottawa scale. In the qualitative synthesis, 24 studies with 6822 patients were included. The pooled analysis of 19 studies showed that increased 24 h SBP is associated with 41% increased risk of CSVD, and this is consistently observed for both daytime and nighttime SBP. this effect is largely driven by the impact of 24 h, day- and night-time SBP on CMBs. Impaired nocturnal BP patterns are strongly associated with CSVD, specifically non-dipping profile with an OR of 2.24 (95% CI: 1.31-3.16) compared to dipping pattern. Reverse dipping was associated with CMBs with an increased OR of 3.02 (95% CI: 1.61, 4.42). Obtaining information on different components of ABPM (24 h, day- and night-time BP, dipping profile) may allow identification of patients at higher risk for CSVD including its specific subtypes, specifically CMBs.
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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 | 0.010 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.027 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".