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Boback Ziaeian 🤦🏻‍♂️

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28 Jan, 20 tweets, 7 min read

@American_Heart

In December, the @American_Heart published a Presidential Advisory statement on working against structural racism and health disparities in response to recent news events and #BLM advocacy. #healthequity #CQOSpotlight

ahajournals.org/doi/10.1161/CI…

@American_Heart

The writing committee on behalf of the @American_Heart in the second sentence of the abstract cite COVID-19, George Floyd, Breonna Taylor as recent examples of structural racism, health disparities for disenfranchised groups.

The statement provides a background on why these issues are relevant to cardiovascular health and the importance of eliminating structural racism.

@DrChandraFord

A good primer on structural racism and health disparities for additional reading from Dr. Gee and @DrChandraFord from @UCLAFSPH is here: ncbi.nlm.nih.gov/pmc/articles/P…

The AHA statement discusses the persistent CVD health disparities, especially for Black Americans.

Direct statements highlight the source of observed inequities from structural racism in relation to health. With a further discussion of social determinants of health.

As a reminder of wealth inequalities in the U.S., this is a plot of median wealth by age stratified by race (white/Black)

The AHA statement provides historical context and also diagrams major historical institutions and policies that disenfranchised Blacks.

AHA has published statements previously attempting to provide a large overview of current challenges and health disparities. This statement references prior statement focused on Black, Hispanic, Native and Asian American CVD health.

Asian Americans
ahajournals.org/doi/full/10.11…

Atherosclerotic Cardiovascular Disease in South Asians in the United States: Epidemiology, Risk Factors, and Treatments: A Scientific Statement From the American Heart Association

ahajournals.org/doi/full/10.11…

Cardiovascular Health in American Indians and Alaska Natives: A Scientific Statement From the American Heart Association

ahajournals.org/doi/10.1161/CI…

Status of Cardiovascular Disease and Stroke in Hispanics/Latinos in the United States

ahajournals.org/doi/10.1161/ci…

Cardiovascular Health in African Americans: A Scientific Statement From the American Heart Association

ahajournals.org/doi/full/10.11…

3 key AHA points: 1st

2nd

3rd

AHA's organized strategy to address structural racism

While AHA has written reports regarding health disparities with similiar ambitious goals, the tone and directness of the recent statement focuses primarily on structural racism, which is a welcome change, yet, an immense challenge.

@TheAtlantic

For additional historical perspective and the potential remediation of structural racism for Black Americans, I suggest Ta-Nehisi Coates @TheAtlantic piece from 2014

theatlantic.com/magazine/archi…

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More from @boback

Boback Ziaeian 🤦🏻‍♂️

@boback

30 Oct 20

It is interview season for medical fellowships and I thought I would take the time to discuss some of the issues I see come up recurrently in evaluating applicants, especially in dedicated physician-scientist research programs.

@UCLA

I am fortunate to have graduated from @UCLA ’s STAR program which feel is an incredible model for training physician-scientists.

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Most MD-PhD programs in the U.S. are funded by the @NIH MSTP program which integrate research and medical education. MSTP funds 50 programs and supports ~1000 trainees annually. nigms.nih.gov/training/instp…

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Boback Ziaeian 🤦🏻‍♂️

@boback

15 Jun 20

@NYTimes

The Pandemic Claims New Victims: Prestigious Medical Journals via @NYTimes ⁦@RoniNYTimes⁩ nytimes.com/2020/06/14/hea…

@NEJM

@NEJM

“‘We do tend to trust our authors,” Dr. Rubin said. “All journals do.” Both editors pointed out that Dr. Mehra had signed statements indicating he had access to all of the data and took responsibility for the work, as did other co-authors.”

Read 6 tweets

Boback Ziaeian 🤦🏻‍♂️

@boback

3 Jun 20

How did Surgisphere generate the publication data?

To simulate each observation (n=96,032) he'd have to know how to distribute all the characteristics and adjust them as needed.

To falsify tables, he'd have to account for counts carefully and generate confidence intervals and other statistics as a best guess from other papers while making sure things were fairly consistent.

Read 4 tweets

Boback Ziaeian 🤦🏻‍♂️

@boback

2 Jun 20

@mikejohansenmd

@mikejohansenmd @NEJM @TheLancet There is more evidence of falsification with this figure. @ADAlthousePhD will provide more details in the morning on the variance estimates.

@mikejohansenmd

@mikejohansenmd @NEJM @TheLancet @ADAlthousePhD Now look at the reference group 0-10: the figure claims that 11-20 and 21-30 year-olds have a lower risk of death relative to kids <10. Well if that’s true it should be the headline of the @NEJM study.

@mikejohansenmd

@mikejohansenmd @NEJM @TheLancet @ADAlthousePhD The odds ratio for the risk of death relative to kids <10 to those over 80 should be like 200x the OR not ~5.

Read 5 tweets

Boback Ziaeian 🤦🏻‍♂️

@boback

30 May 20

@Surgisphere

Let me take us all on a magical walk through the @Surgisphere "revision" and explanation given to the @lancet. Not everything looks like what it seems. I would hope @richardhorton1 would have pushed for better explanations.

Let us start with the correction statement. One hospital from Australia should have been in Asia. Not sure why a hospital a company sold a product to would need to self-identify for a cloud-based data analytics platform:

They also notify us that the original table S3 was corrected and the lack of variation was because they presented "propensity matched and weighted" tables rather than raw estimates.

Read 33 tweets

Boback Ziaeian 🤦🏻‍♂️

@boback

13 May 20

@ScienceMagazine

Estimating the burden of SARS-CoV-2 in France science.sciencemag.org/content/early/… @ScienceMagazine

"The overall probability of death among those infected (the Infec-tion Fatality Ratio, IFR) is 0.7% (95% CrI: 0.4–1.0), ranging from 0.001% in those under 20ya to 10.1% (95% CrI: 6.0–15.6) in those >80ya (Fig. 2D and table S2)."

"We find that the basic repro-ductive number R0 prior to the implementation of the lock-down was 2.90 (95% CrI: 2.80–2.99). The lockdown resulted in a 77% (95% CI: 76–78) reduction in transmission, with the reproduction number R dropping to 0.67 (95% CrI: 0.65–0.68)."

Read 9 tweets

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