Study analysis · European journal of preventive cardiology · 2025

Remnant cholesterol looked like a cardiovascular superstar—until researchers adjusted for LDL cholesterol.

In 43 cholesterol-lowering trials, lowering remnant cholesterol was linked to fewer heart events, but much of that link overlapped with LDL cholesterol lowering, and the actual number of events prevented per person wasn't reported.

Reading level
Low certainty
Level 1a · Systematic review of RCTsAssociation, not causationNo causal claims

Overview

What the study found

The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.

In simple terms

Imagine you combine the results of many experiments. This study did that and found that when people's remnant cholesterol goes down, their chance of heart problems also goes down. But it doesn't prove that lowering remnant cholesterol is the direct cause of fewer heart problems—just that they happen together.

What’s the bottom line?

Researchers combined 43 trials of statins, ezetimibe, and PCSK9 inhibitors to see whether lowering remnant cholesterol is linked to fewer heart attacks and related events.

How strong is this study?

This study looked at a huge number of people, which is good. But we only have a short summary, not all the details about how each experiment was done. So we can't be sure how trustworthy the exact numbers are.

Reporting

0 / 100

  • COI disclosureconflicts of interest not disclosed
  • Data availabilitydata not shared
  • Code availabilitycode not shared
Methodology

44 / 100

  • Randomizationnot randomized
  • Blindingblinding unclear
  • Control group+15/15
  • Sample size (n=327264)+20/20
  • Follow-upno follow-up reported
Publication

100 / 100

Statistical

54 / 100

  • P-valuesno p-values reported
  • Effect size+20/20
  • Confidence intervals+15/15
  • Pre-registrationnot pre-registered

Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.

Where it sits

RCT reviews

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
49

49 / 100

Probability of being correct

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

This design cannot establish causation — the findings describe an association, not a cause. Meta-analysis of trials, but randomization of included trials is not explicitly stated in the abstract; even if randomized, meta-regression of trial-level data cannot establish causation. Observational associations are subject to confounding and ecological bias.

COI Unknown

Could not determine conflict of interest status

No conflicts of interest or funding information was provided in the abstract, so the potential for bias cannot be assessed.

The abstract does not include a conflict of interest, funding, or author affiliation section. This analysis is limited to the provided text; the full article may contain relevant disclosures.

Key takeaways

  1. 01

    Per 1 mmol/L (39 mg/dL) reduction: LDL cholesterol lowering had a relative risk ratio of 0.84 fixed/0.82 random for major cardiovascular events; remnant cholesterol lowering had a relative risk ratio of 0.36 fixed/0.27 random.

  2. 02

    After adjusting for LDL, remnant cholesterol's relative risk ratio was 0.92 random (95% CI 0.45–1.187) per 1 mmol/L and 0.99 per 1 SD (95% CI 0.94–1.05).

  3. 03

    The study did not report absolute risk reduction.

  4. 04

    Overall, 42,016 major cardiovascular events occurred among 327,264 participants, which is about 13% over the trial follow-up periods, but follow-up duration is not specified.

  5. 05

    Because absolute risk reduction was not reported, we cannot say how many fewer events per 1,000 people came from remnant cholesterol lowering.

Practical takeaways

Do not use this abstract to change clinical practice or add remnant-cholesterol-specific treatments; the absolute risk reduction was not reported and corrections/errata exist.

Full text was unavailable; methodology cannot be verified; the study is a meta-analysis of trial-level associations, not individual-level causal proof.

low confidence

For now, keep focusing on proven LDL-lowering strategies if they are clinically indicated; this study does not show that remnant cholesterol is an independent target.

The abstract only reports association and does not specify clinical implications; no absolute benefit data.

low confidence

Why this study matters

The eye-popping unadjusted number

Per 1 mmol/L (39 mg/dL) reduction, remnant cholesterol had a relative risk ratio for MACE of 0.36 fixed (95% CI 0.33–0.40) and 0.27 random (0.20–0.36). LDL cholesterol's relative risk ratio was 0.84 fixed (0.82–0.85) and 0.82 random (0.78–0.85). These are relative risk ratios, not absolute risk reductions.

It makes remnant cholesterol seem like a far more powerful target than LDL, which would be huge if true.

Adjustment shrinks the signal

After adjusting for LDL cholesterol reduction, remnant cholesterol's association weakened: per 1 mmol/L, random-effects relative risk ratio 0.92 (95% CI 0.45–1.187); per 1 SD, 0.99 (95% CI 0.94–1.05). Much of the apparent remnant benefit overlapped with LDL lowering.

It shows why a striking signal in trials can vanish once you account for the main cholesterol driver.

They move together

For every 1 mmol/L (39 mg/dL) LDL reduction, remnant cholesterol fell 0.19 mmol/L; for every 20% LDL reduction, remnant cholesterol fell 11%. This correlation makes it hard to separate their independent effects.

It explains the statistical headache: two variables changing together are tough to untangle.

Huge data, missing absolute risk

The meta-analysis included 43 trials, 327,264 participants, and 42,016 MACE (~12.8% over follow-up, duration not specified). But absolute risk reduction was not reported, so we don't know how many events were prevented per 1,000 people.

Big relative numbers can sound impressive while leaving the real-world benefit unclear.

Want the whole report?

Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.

Standing

Who’s using this study?

The videos and claims on this site that lean on this study, and the researchers who wrote it.

1 video from Dr Brad Stanfield cite this study, drawing 1 claim from it.

Dr Brad Stanfield
Supports
All 1 video reference this study through extracted claims.

Authored by

2 researchers

If this is your work, this is how we attribute it on Fit Body Science. Ask Tybjærg Nordestgaard is listed as the lead author.