Danielle Belardo MD

AGREED! 👏👏

Quick rant. Sending asymptomatic patients with stable CAD for yearly nuclear stress tests when they have no symptoms is so absurd & I cannot believe this still happens in 2025.

Instead- get your patient on the correct GDMT for their CAD plus nutrition & exercise counseling.

Thank you so much! I am rarely on blue sky (haven’t had time yet to jump in this app!) so I had no idea! Many thanks!! ❤️🙏

@daniellebelardomd.bsky.social I just found, by accident, an impostor! (They're added to a WIM list)

Everyone please report ⬇️
@daniellbelardo.bsky.social

@safety.bsky.app

This is a fake account pretending to be me, if you have a moment to report them I would be so appreciative! Ty 🙏

Sharing this incredible event dedicated to supporting young women diagnosed with ALS. 100% of the proceeds will be donated to Her ALS Story, an organization dedicated to supporting women diagnosed with ALS before the age of 35 ❤️ @darilynmoyer.bsky.social

events.handbid.com/auctions/f-c...

300,000 quitters and counting; A systematic approach to tobacco cessation

Discover the article "300,000 Quitters and Counting: A Systematic Approach to Tobacco Cessation". Explore how innovative, systematic strategies are helping hundreds of thousands achieve tobacco cessation and improve overall health. www.sciencedirect.com/science/arti...

#CardioSky #MedSky #AJPC

When Is Enough Enough? Additional Evidence of the Power of Zero | Circulation: Cardiovascular Imaging

When Is Enough Enough? Additional Evidence of #CAC #PowerofZero

By Matt Budoff MD
#CardioSky #MedSky #cvPrev #Circulation
@ahajournals.bsky.social @erinmichos.bsky.social @michaeldshapiro.bsky.social @daniellebelardomd.bsky.social
@drmarthagulati.bsky.social
www.ahajournals.org/doi/10.1161/...

2025 is as distant from 1980 as 1980 was from 1935.

Happy Monday 😅

Annual holiday reminder! It is the totality of our dietary pattern that impacts our health, not what you eat once a year on Thanksgiving :)

Happy Thanksgiving to all🙂

Patient on dialysis complaining of dizziness and irregular heartbeat. 3 lead ECG with phonocardiogram done with the #EKO
(I had a couple of nice hyperkalemia ones obtained with my Duo before it died)

ER calls for STEMI, Calcium was given before labs available. Memorize the pattern of hyperkalemia. Potassium came out to be 8.5. Not STEMI. #CardioSky #MedSky #MedStudentSky #FOAMed #NephroSky

Why less coffee! 😅

😂😂😂

“Deodorant is evil” and “beef tallow is both a health food and skincare” falls in there somewhere too 🫠

The Venn diagram between “seed oils are evil”, “statins are evil”, “sunscreen is evil” “fluoride is evil”, and “vaccines are evil”… is a circle.

🙏🙏

😂

It’s such a great cartoon!! So happy to learn the original author !!!

two women are standing next to each other with their mouths open and one of them is wearing an orange coat . ALT: two women are standing next to each other with their mouths open and one of them is wearing an orange coat .

Only if we can rule out these biases can we begin to think that association may imply causation.

In this ex, both liking science/medicine & liking avocados are both independent reasons for following me on IG — which is the “collider” (I do enjoy both 😂)

When you stratify/sample based on the collider, you induce a false association from being interested in science/medicine to liking avocados.

People who are interested in science may know how healthy avocados are. But we repeat the analysis in a sample of 5000 individuals in the general pop & find no assoc btwn interest in science/medicine & liking avocados.

Next we do a study evaluating whether there is a relationship btwn being interested in science/medicine & liking avocados. We analyze 1000 of my IG followers & find an assoc btwn liking science/medicine & liking avocados. This seems plausible, right?

For ex: let’s say you follow me on Instagram (probably not on Bluesky yet 😂) for only 1 of 2 reasons 1) you are interested in science/medicine or 2) you like eating avocados.

Collider bias occurs when an exposure & outcome share a common effect (the collider). In this case, a distorted association between the exposure & the outcome is produced when we control for the collider.

Ex: a study found that there is a strong assoc btwn ice cream consumption & crime. Does eating ice cream increase the crime rate? No! The relationship is confounded by the time of year (summer!) But it can *appear* that ice cream & crime will be related in an analysis that doesn’t control for summer

Confounding occurs when an exposure & an outcome share a common cause.

Failure to control for the confounder makes it appear that there is an assoc btwn the exposure & the outcome, whereas in fact both are caused by the confounder & are not related to each other at all.

To claim that an association represents a causal effect, we need to first rule out 2 possible issues that lead to a non-causal association:

Confounding
Collider bias

But also!…

A statistical association between 2 variables implies that knowing the value of 1 variable, provides information about the value of the other. It does not necessarily imply that 1 causes the other. Correlation ≠ causation.

Hello #cardiosky #medsky ! Newbie here. Happy to report I am going to make nerd humor my entire Bluesky personality. I am specializing in research and statistics memes. It’s likely that 99% of them will not be funny so feel free to laugh with or at me. Nerd humor is the best humor 🤓😂