Circ Cardiovasc Qual Outcomes May 2011 PMID 21487090

A meta-analysis of low-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol, and apolipoprotein B as markers of cardiovascular risk.

Allan D Sniderman, Ken Williams, John H Contois, Howard M Monroe, Matthew J McQueen, Jacqueline de Graaf, Curt D Furberg

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Mentions

15
Peak: 5 in Jul 2025
across 2 sources since Jun 2020

Extended reach

39,354
potential audience

Total likes

151

Video views

3,410

Mentions per month

Jun 2020 – Jul 2025

Where it's discussed

  • X / Twitter13 posts
  • YouTube2 videos

AI synopsis

What people are saying

The group demonstrates strong support for the research findings, with posts highlighting the accuracy of apoB over traditional markers and emphasizing its potential to improve risk prediction. Words like 'most potent,' 'more lives saved,' and detailed numerical comparisons reflect high engagement and perception of substantial impact, while references to videos and reviews indicate active interest and deep discussion of the topic.

AgreementStrong agreement

Most discussions strongly support the findings of the study, emphasizing the superior predictive value of apoB as a marker.

InterestHigh interest

The discussions show high interest due to references to specific data, comparisons, and implications for cardiovascular risk prediction.

EngagementModerate engagement

Participants engage by referencing detailed analysis, sharing videos, and debating the complexity of choosing appropriate markers.

ImpactHigh impact

Many posters believe the study has significant implications for clinical practice and population health, emphasizing potential to save lives.

Abstract in brief

  • This meta-analysis compared the ability of three markers—apolipoprotein B (apoB), non-HDL cholesterol (nonHDLC), and LDL cholesterol (LDLC)—to predict cardiovascular events, using data from 12 studies with over 233,000 subjects, and found that apoB is the most effective marker.
  • The study showed that apoB provides significantly better risk prediction than both nonHDLC and LDLC, with the potential to prevent more cardiovascular events over a decade if used as a target in treatment strategies.
  • These findings support the importance of including apoB measurements in clinical practice for better cardiovascular risk assessment, as it adds substantial predictive value beyond traditional cholesterol measures.]

Top posts

Most liked on X and Bluesky
Ingrid Hokstad
@Hokkis · X

@drjohnm According to "Mr ApoB" himself; Allan Sniderman: "Over a 10-year period, a non-HDL-C strategy would prevent 300 000 more events than an LDL-C strategy, whereas an apoB strategy would prevent 500 000 more events than a non-HDL-C strategy." https://t.co/vbjsrtlcAp

Jul 22, 2025 · 11 likes · 1 share · 3,166 followers View post →
Mike Lustgarten, PhD
@mike_lustgarten · X

New YT video! https://t.co/6i8m6PLQEK https://t.co/MdRXk4qdxc

Jul 6, 2025 · 7 likes · 1 share · 9,729 followers View post →
Bhopender Thakur
@TheBhupiThakur · X

@foolproofvegan @PlantBasedLift1 @NzyenR https://t.co/y3yizxuBD3 start from this and check recently published reviews by him

Jun 1, 2023 · 3 likes · 1,398 followers View post →
Biomass Bob
@SentientBlobBob · X

@thalesnemo @ifixhearts https://t.co/NrXpqAh9US Whether analyzed individually or in head-to-head comparisons, apoB was the most potent marker of cardiovascular risk

Aug 11, 2022 · 2 likes · 1 share · 820 followers View post →
Niemen
@Niemen88 · X

@Lpa_Doc "Over 10 years, a non-HDL-C strategy could prevent 300K more events vs LDL-C, while an ApoB strategy may prevent 500K more than non-HDL-C" Discordance analysis shows ApoB is a more accurate marker for cardiovascular risk. All theoretical. https://t.co/rouaPh8A2m

Sep 5, 2024 · 2 likes · 57 followers View post →
Eduard Baladia
@EBaladia · X

@Gerave7 @EstebanDL La simplificación... suele pasar. No le quito la razón a Esteban sobre que "hay más complejidad" de lo que se habla, y es esa complejidad la que hace difícil elegir marcadores de predicción de riesgo. Es genial que haya debate: https://t.co/EOsTRDwd3D

Jun 16, 2020 · 1 like · 11,211 followers View post →

All mentions

Pedro Graziano Sanchez
@wikimagen · X

RT @Hokkis: @drjohnm According to "Mr ApoB" himself; Allan Sniderman: "Over a 10-year period, a non-HDL-C strategy would prevent 300 000 mo…

Jul 22, 2025 · 1 share · 7,158 followers View post →
Ingrid Hokstad
@Hokkis · X

@drjohnm According to "Mr ApoB" himself; Allan Sniderman: "Over a 10-year period, a non-HDL-C strategy would prevent 300 000 more events than an LDL-C strategy, whereas an apoB strategy would prevent 500 000 more events than a non-HDL-C strategy." https://t.co/vbjsrtlcAp

Jul 22, 2025 · 11 likes · 1 share · 3,166 followers View post →
Jessica Clemente
@j_clemente08 · X

RT @mike_lustgarten: New YT video! https://t.co/6i8m6PLQEK https://t.co/MdRXk4qdxc

Jul 6, 2025 · 1 share · 224 followers View post →
Mike Lustgarten, PhD
@mike_lustgarten · X

New YT video! https://t.co/6i8m6PLQEK https://t.co/MdRXk4qdxc

Jul 6, 2025 · 7 likes · 1 share · 9,729 followers View post →
Niemen
@Niemen88 · X

@Lpa_Doc "Over 10 years, a non-HDL-C strategy could prevent 300K more events vs LDL-C, while an ApoB strategy may prevent 500K more than non-HDL-C" Discordance analysis shows ApoB is a more accurate marker for cardiovascular risk. All theoretical. https://t.co/rouaPh8A2m

Sep 5, 2024 · 2 likes · 57 followers View post →
Meghna Saha
@MeghnaSaha20 · X

@Alicewants2know @MohammedAlo https://t.co/pXuPFGPV6S

Feb 19, 2024 · 18 followers View post →
Bhopender Thakur
@TheBhupiThakur · X

@foolproofvegan @PlantBasedLift1 @NzyenR https://t.co/y3yizxuBD3 start from this and check recently published reviews by him

Jun 1, 2023 · 3 likes · 1,398 followers View post →
Patrick Elliott, BSc, MPH
@PatrickElliott0 · X

@gAlecsyBrain This study estimated that if high-risk treatment was decided using apoB rather than non-HDL-C and LDL-C (>70th percentile), more lives would be saved. They give cut-offs for apoB relative to LDL-C and non-HDL-C cut-offs at the end (just before Summary). https://t.co/bPJYwUU4X2

Apr 22, 2023 · 884 followers View post →
Earthling
@_earthling74 · X

@TuckerGoodrich @ZahcM https://t.co/L48cHbYpk5

Mar 21, 2023 · 428 followers View post →
Pasimózg
@pasimozg · X

Wersja popularyzatorskiego tekstu z video prezentacją: https://t.co/k20t4h6IEL Potrzeba więcej krótkich i prostszych od tego materiałów 4/4

Jan 30, 2023 · 7 followers View post →
Cheri Vanders
@CheriVanders · X

RT @SentientBlobBob: @thalesnemo @ifixhearts https://t.co/NrXpqAh9US Whether analyzed individually or in head-to-head comparisons, apoB was…

Aug 12, 2022 · 1 share · 833 followers View post →
Biomass Bob
@SentientBlobBob · X

@thalesnemo @ifixhearts https://t.co/NrXpqAh9US Whether analyzed individually or in head-to-head comparisons, apoB was the most potent marker of cardiovascular risk

Aug 11, 2022 · 2 likes · 1 share · 820 followers View post →
Eduard Baladia
@EBaladia · X

@Gerave7 @EstebanDL La simplificación... suele pasar. No le quito la razón a Esteban sobre que "hay más complejidad" de lo que se habla, y es esa complejidad la que hace difícil elegir marcadores de predicción de riesgo. Es genial que haya debate: https://t.co/EOsTRDwd3D

Jun 16, 2020 · 1 like · 11,211 followers View post →