Isolated Systolic Hypertension : From Basic to Bedside - A Systematic Review
Bibliographic record
Abstract
Introduction: Isolated Systolic Hypertension (ISH) is a type of hypertension that was initially found mostly in the elderly, although recent studies indicate that it is increasingly common in younger adults. ISH has clinical implications for cardiovascular health and target organs. Limited awareness and management of ISH highlight the urgency of comprehensive studies to deepen understanding. Method: This study is a systematic review conducted in accordance with the PRISMA 2020 guidelines. Literature was searched from the PubMed, Scopus, and Web of Science databases. Included articles were primary studies with cross-sectional, cohort, RCT, or primary meta-analysis designs published between 2016 and 2025, in English, and available in open access. Risk of bias assessment was conducted using the RoB 2 tool and the Newcastle-Ottawa Scale. Discussion: A total of 24 articles met the inclusion criteria, covering more than 4 million participants from various age groups. Epidemiological studies indicate a high prevalence of ISH, even among adolescents and young adults. The main risk factors include age, high BMI, insulin resistance, low physical activity, and socioeconomic factors. ISH is associated with various clinical conditions, such as increased left ventricular mass, arterial stiffness, and impaired kidney function. Pharmacological interventions like calcium channel blockers and beta-blockers show varying effectiveness. Non-pharmacological approaches, such as renal denervation, have limited effects on pure ISH. Conclusion: ISH is a high-risk condition that is widespread across various age groups. Understanding its epidemiology, risk factors, pathophysiology, and response to treatment is important for appropriate therapy and prevention of long-term clinical implications.
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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 | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".