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The Study

Ldl-cholesterol reduction with PCSK9 inhibitors: A meta-analysis of randomised controlled trials.

In simple terms

This study combines results from several well-designed experiments where people were randomly assigned to get PCSK9 drugs or not. It shows that these drugs really do lower bad cholesterol (LDL-C), and it's one of the strongest types of proof we have in medicine.

20%

Analysis score

20/ 100

Maximum 100 for a systematic review with meta-analysis.

Where the score came from

Reporting0
Methodology0
Publication100
Statistical0
Study type (basis of the score)
Systematic Review with Meta-Analysis
Level 1a - Systematic review of RCTs
What’s the bottom line?

These medicines help lower bad cholesterol in people, even if they're already taking other cholesterol drugs.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Reviews of RCTs (Meta-analyses)
Level 1a
20

20 / 100

Quality score

The highest quality evidence. Systematic reviews and meta-analyses that pool randomized controlled trials, giving the most reliable summary of experimental evidence.

Can establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Yes, this is a big drop in bad cholesterol, which can help protect the heart.
  2. 2PCSK9 inhibitors can lower LDL cholesterol by up to 81% when added to statins.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

Atherosclerosis

Year

2017

Authors

M. Casula, L. Scotti, O. Bernocchi, F. Galimberti, E. Tragni, G. Corrao, A. Catapano

2 citations
Analysis v5
Fit Body Science verdict — we translate health studies into clear verdicts backed by peer-reviewed research.

Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.