Yury Mareev

cardiologist working in the field of heart failure at Rambam Hospital and also a researcher at the University of Glasgow

[F. Perry Wilson, MD MSCE @fperrywilson]

Your morning coffee either raises your LDL cholesterol or does nothing to it, and the single variable that decides is whether you poured it through a paper filter. That's one of the odder findings in the new AHA scientific statement on caffeine and the heart. 🧵

[Berry Consultants @BerryConsultant]

Dr. Scott Berry and Dr. Kert Viele examine the facts behind bias in early stopping of clinical trials in the latest episode of "In the Interim…".

They clarify the mathematical definition of bias, demonstrate how simulations quantify and adjust for it, and directly address misconceptions fueled by the Bassler et al (STOPIT-2) paper.

✅️ Regulatory agencies routinely require explicit bias calculations
✅️ Most early stopping bias is demonstrably small and manageable
✅️ Published critiques often conflate post-hoc selection with bias

Listen now to understand why "bias" doesn't mean "don't do it." https://t.co/7S7kgvEojL

[Retraction Watch @RetractionWatch]

“Why paying peer reviewers works, according to a journal’s editor-in-chief.”
https://t.co/kSKT7p5yZU

[Heart_BMJ @Heart_BMJ]

Can exercise lower your risk of AF?

Exercise-based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis - New paper and podcast.

Professor James Rudd (@jhfrudd) chats with Dr Ben Buckley (@BuckleyBenjamin) from John Moores University. They discuss his Cochrane systematic review on the use of cardiac rehabilitation in patients with atrial fibrillation, and whether it might lead to a change in the guidelines.

Paper: https://t.co/QhVVvh4Pwu

Spotify: https://t.co/HDJoFPZMoo

Apple Podcasts: https://t.co/0QFIRPheQh

Amazon Podcasts: https://t.co/bj9e65kJa8

@BJSM_BMJ

https://t.co/4t9A3HiUDl

[Yury Mareev @YMareev]

@FudimMarat @pmyhre @DmitryAbramovMD @VerwerftJan @Steph_Achenbach @StepanenkoMD @F_dalgaard @DrLadyMaria @MarinaTeterinaA @SABOURETCardio @MihaiTrofenciuc @Hragy @HanCardiomd @nossikoff So my question:

Will you adopt the new EF classification in clinical practice?

Or is HFmrEF still a useful category because it reflects differences in the strength of evidence and helps guide everyday decisions? 10/10

[Yury Mareev @YMareev]

The Second Universal Definition of Heart Failure has just been published.

🧵 A short thread on the key changes, how it compares with the first Universal Definition and the 2023 ESC guidelines, and one controversial decision likely to spark debate. 1/10

[Yury Mareev @YMareev]

@FudimMarat @pmyhre @DmitryAbramovMD @VerwerftJan @Steph_Achenbach @StepanenkoMD @F_dalgaard @DrLadyMaria @MarinaTeterinaA @SABOURETCardio @MihaiTrofenciuc @Hragy @HanCardiomd @nossikoff This is probably the key tension.

Biologically, rigid EF cutoffs are artificial.

Practically, abandoning cutoffs may make classification less convenient unless future guidelines provide clear decision thresholds for treatment, devices, and trial eligibility. 9/10

[Science News @SciencNews]

The Cost of Free Labor:
Will Nature Ever Pay for Peer Review?

[Venk Murthy MD PhD @venkmurthy]

I trust Dr. Koka more than OpenEvidence

You could say I have drunk the Koka-Kola 😂

[Marat Fudim, MD MHS @FudimMarat]

Not too late to register! Key note speaker--> @NMHheartdoc

And many guest speakers @RyanTedfordMD @AminYehyaMD

Over 30 exhibitors, Hands on Sessions and ...

June 6 in Durham https://t.co/FNDkxvp1Cj

@robmentz @Steph_BarnesNP @richa_agarwalMD @manesh_patelMD @DukeHrtFailure

[Yury Mareev @YMareev]

@hvanspall @novitskiynic @SolovevaAnzhela @bogdienache @MDCaspi @HanCardiomd @F_dalgaard @pmyhre @AmrAbdin10 @SLKristensen @StepanenkoMD @ARakisheva @MarinaTeterinaA @FudimMarat @SABOURETCardio @NEJM @oziadias 10/10 The discussion also covered ways to make AI safer:
▪️ more representative training datasets
▪️ validation across different populations
▪️ regular bias audits
▪️ more diverse research teams
Good review on AI bias in healthcare:
https://t.co/Dxvf0XYTA5

[Yury Mareev @YMareev]

1/10 During #HFA2026 there was a very interesting debate about the role of AI and large language models in cardiology and healthcare.
The discussion was balanced. Not only hype, but also a serious conversation about limitations and risks.
🧵Thread

[Yury Mareev @YMareev]

@hvanspall @novitskiynic @SolovevaAnzhela @bogdienache @MDCaspi @HanCardiomd @F_dalgaard @pmyhre @AmrAbdin10 @SLKristensen @StepanenkoMD @ARakisheva @MarinaTeterinaA @FudimMarat @SABOURETCardio @NEJM @oziadias 9/10 Another critical issue:
we still have relatively limited evidence that AI models actually improve hard clinical outcomes in real-world healthcare settings.
Good prediction accuracy does not automatically translate into better patient outcomes.