SynthesisBMC cardiovascular disorders2026
Inclisiran SiRNA therapy for durable LDL-C reduction: a systematic review and meta-analysis highlighting a breakthrough in long-term cardiovascular risk management.
Synthesis in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Review
- Article
- Adenosine Signaling as a Central Integrative Network in Cellular Stress Responses and a Therapeutically Actionable Target in Human Disease.Biomolecules · 2026Review
- Article
- PCSK9-Mediated Inflammation in Foam Cell Formation and Exploring the Biologically Active Compounds Derived From Natural Resources.Advances in pharmacological and pharmaceutical sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInclisiran is a novel small interfering RNA therapeutic developed to lower lipid levels by targeting hepatic production of proprotein convertase subtilisin/kexin type 9. Unlike monoclonal antibodies, Inclisiran silences messenger RNA expression, resulting in sustained reductions in low-density lipoprotein cholesterol with infrequent dosing. This study aimed to systematically evaluate the efficacy and clinical applicability of Inclisiran across randomized controlled trials.
methodsA systematic literature search was conducted in PubMed, Scopus, Embase, and Cochrane CENTRAL databases up to December 2024. This meta-analysis updates the global evidence base by incorporating 14 randomized trials (> 13,000 participants) identified through December 2024. Beyond earlier syntheses, it provides pooled analyses of multiple lipid parameters, phenotype-stratified subgroup and sensitivity analyses, and meta-regression for baseline LDL-C and statin use, thereby offering the most comprehensive and clinically differentiated evaluation of inclisiran to date. The primary outcome was the mean change in low-density lipoprotein cholesterol levels in patients treated with Inclisiran compared to placebo. Data was pooled using a random-effects model. Heterogeneity was assessed using the I² statistic, and publication bias was evaluated with funnel plot analysis.
resultsInclisiran treatment resulted in a significant mean reduction of 44.9% in low-density lipoprotein cholesterol levels compared to placebo (95% confidence interval: 39.54% to 50.25%; p < 0.001). While statistical heterogeneity was high (I² = 90.3%), visual assessment of the funnel plot suggested minimal risk of publication bias. Subgroup analyses supported consistent efficacy across patient populations, including those with statin intolerance or poor adherence to conventional therapies.
conclusionsInclisiran provides a durable, twice-yearly injectable option for lipid management, offering substantial reductions in low-density lipoprotein cholesterol. Its unique RNA-based mechanism and long-acting profile make it particularly suitable for patients who struggle with adherence or have limited response to traditional lipid-lowering medications. These findings support Inclisiran’s role as a promising addition to current strategies for cardiovascular risk reduction.
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Registered trials
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.