ReviewHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2022
Cholesterol-Lowering Therapy in Patients at Low-to-Moderate Cardiovascular Risk.
Review in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Article
- Upfront Combination or Stepwise Escalation: Personalising LDL-C Reduction in Clinical Practice.Current atherosclerosis reports · 2026Review
- Adult-based Genetic Risk Scores for Insulin Resistance Associate With Cardiometabolic Traits in Children and Adolescents.The Journal of clinical endocrinology and metabolism · 2025Article
- Muscle Wasting and Treatment of Dyslipidemia in COPD: Implications for Patient Management.Biomedicines · 2025Review
- Article
- The interplay of factors in metabolic syndrome: understanding its roots and complexity.Molecular medicine (Cambridge, Mass.) · 2024Review
- The Dynamics of Cardiovascular Risk-An Analysis of the Prospective Urban Rural Epidemiology (PURE) Poland Cohort Study.Journal of clinical medicine · 2024Article
- Atherosclerotic cardiovascular disease landscape in Singapore.Frontiers in cardiovascular medicine · 2024Review
- Mutant p53, the Mevalonate Pathway and the Tumor Microenvironment Regulate Tumor Response to Statin Therapy.Cancers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elevated low-density lipoprotein cholesterol (LDL-C) is unanimously recognized as a major modifiable risk factor related to the development of atherosclerotic cardiovascular disease (ASCVD). Consistent evidence confirms that reducing LDL-C is associated with reduction of major adverse cardiovascular events (MACEs), with benefits proportionally related to initial individual CV risk and absolute reduction of LDL-C levels. The recent European guidelines on cardiovascular prevention have proposed a revised approach in cardiovascular risk evaluation, taking into account a renewed consideration of the interaction between risk factors and possible confounding factors (e.g., age). Although for patients considered to be at high and very high cardiovascular risk the need for stringent risk factors treatment is clearly stated, for those who are at low-to-moderate cardiovascular risk the issue is more debated. For those latter subjects, current guidelines indicate that risk factor treatment is generally not necessary, unless the impact of CV risk modifiers, lifetime CV risk and treatment benefit may be substantial. In addition, despite the estimated low-to-moderate short-term CV risk, the early appearance of even mild LDL-C level elevations may contribute to impair long-term CV prognosis. Therefore, encouraging the achievement of desired LDL-C goals through tailored conservative lifestyle changes and, if necessary, pharmacologic strategies should not be excluded categorically in all low-to-moderate risk individuals. In this review, we summarize the most recent evidence that may influence the choice to treat or not to treat LDL-C elevations in subjects at low-to-moderate risk and the suggested therapeutic tools aimed at achieving the recommended LDL-C goals.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.