frickjifang

MD,PhD,MPH@ CPU; Graduate of UM-SPH, SSMU,UIC. Lifelong learner

[Kashyap Sriram @kashyap286]

A thread on tariffs

🧵

Only 7.1% of total US exports make their way to China, while 15% of Chinese exports make their way to the US.

So, China will get hurt more, right?

[British Journal of Anaesthesia @BJAJournals]

Frameworks for the design and reporting of anaesthesia interventions in perioperative clinical trials. new paper by Coulman et al #research #trials #anaesthesia

https://t.co/xqFl0X45iX

[J Gordon Boyd @jgordonboyd]

Want to read something amazing? Check out this recent work by @KP_ICURN and her team. They've used latent class analysis to identify data-driven #delirium subtypes. What a great step forward from hypo/hyperactive descriptions. Great work Dr. Potter!

https://t.co/05vxrauAF8

[Clinical Infectious Diseases @CIDJournal]

Identifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation

https://t.co/bGSXT71cAe

[frickjifang @frickjifang]

@fang_danie121 cpttp里面也没有美国

[NEJM @NEJM]

Immune checkpoint inhibitors represent a major advance in the treatment of cancer. The authors argue that future efforts should focus less on redundant agents and more on new approaches to immunotherapy. Read more: https://t.co/VFaJZFh7ma

[frickjifang @frickjifang]

@YukiKotani5 https://t.co/8KMJxmJrfz
Thank you for your comments.

[British Journal of Anaesthesia @BJAJournals]

AF is the most common arrhythmia in the perioperative period, incidence of up
to 50% in pts undergoing cardiac surgery. How do you manage this?

Read our #BJAEd article by Drs Kim, Lever and Cooper for their advice on mx.

#pharmacology @CPOC_News

https://t.co/O6jSb0IIqf

[World Health Organization (WHO) @WHO]

LIVE: @DrTedros’ remarks at the Global Ministerial Summit on #PatientSafety https://t.co/u1IBOBabQT

[Cleveland Clinic MD @CleClinicMD]

Research finds that predictive models can accurately predict acute kidney injury within 72 hours and 14 days of cardiac surgery: https://t.co/Uzkaj0UKWI

[Barbara T. Murphy Mount Sinai Div. of Nephrology @ISMMSKidney]

Pre-operative #kidney biomarkers & risks for death, cardiovascular & #CKD events after cardiac surgery:
the TRIBE-#AKI study

https://t.co/79UGjXzhTq

@GeorgeVasquezR2 @scoca1 @DOMSinaiNYC @JournalCTSurg

#Nephrology

[Cleveland Clinic MD @CleClinicMD]

New study finds data from routine laboratory panels can predict risk of acute kidney injury following cardiac surgery: https://t.co/afHGPSN1Lg

[Gary Collins @GSCollins]

Another review appraising quality & completeness of reporting of prediction models https://t.co/gdS3ie1Cse👏

"Many studies did not explain how [to] use their model for future individualized predictions" Sigh!🙄

Use @TRIPODStatement -> https://t.co/BEjQX0c0i9 #notrocketscience

[frickjifang @frickjifang]

@DrHoigul @EricTopol @NEJM That's not right. Superiority cannot be assessed purely using a CI from NI trial. It is a different set of hypotheses.

[American College of Cardiology @ACCinTouch]

Postoperative #AFib is the most frequent complication of cardiac surgery patients and is associated with higher length of stay. Read the expert analysis to learn more about pericardial effusion & postoperative AFib: https://t.co/QJj2VjveDX

[frickjifang @frickjifang]

@Stata 1.67yrs on

[Shirley Wang @Shirley_Wang_V]

HARPER (HARmonized Protocol to Enhance Reproducibility) for comparative database studies is open access! We hope it will be used to help make RWE studies more transparent and reproducible. #epitwitter #openscience @IntPharmacoEpi @ISPORorg, https://t.co/Anap6r3bhW

[frickjifang @frickjifang]

@DrToddLee @ABsteward @CMIJournal @BradSpellberg I agree in the absence/impossible for RCT.
Selection bias is enormous here.

[Benjamin Besse @BenjaminBesseMD]

Totally unexpected! After resection of early NSCLC in 1775 pts, follow-up by ct-scan did not improve survival vs a simple chest X-Rays! We should ALWAYS questioned our practice. Amazing work from Virginie Westeel @barlesi @IFCTlung https://t.co/iMFGtpkQcF