Qandeel Soomro

Your casual autocorrects to causal. Not surprised 😁

(1/3) Paying close attention to morphologic detail can sometimes suggest etiologic clues in cases of severe chronic renal injury. The glomerulus in this image, for example, shows near complete global glomerulosclerosis.

#TeachingPoints #kidneypath #nephsky #pathsky #renal

It has been 2 years since Rajnish Mehrotra stepped up to become the inaugural senior editor-in-chief of the ASN Publications portfolio. Read the interview with #ASNKidneyNews here to learn more about the portfolio structure and what's next here: kidney.pub/KN1710-17

@rajmehrotra.bsky.social

Pfft so patronizing #LLMfail

It’s my favorite quote!

Inspirational poster that says Run every study as if it were the last one on the topic

How about instead:

I never get to see the future with all the good studies I have been promised in all these papers sigh!

If people knew how many medical guidelines are based on change scores getting predicted from baseline severity, everyone would be really scared

This paper’s been popping as “evidence” that you can’t do real #causalinference w/ obs data. To me it shows you need rigorous pre-specified design (in addition to the willingness to fold when your hypothesis is not possible to answer with the data at hand). #EpiSky, #CausalSky, #AcademicSky

One of the adaptive designs we are seeing more frequently is the Sequential Multiple Assignment Randomised Trial (or SMART trial) 1/7
#MethodologyMonday #126

program for thursday at kidney wk including 2 LBCTs and Vlado P talking on RCTs and curing kidney disease

The opening plenary at #KidneyWk looks phenomenal

Renal RCT Renaissance is upon us

(LBCT list drops tomorrow)

www.asn-online.org/education/ki...

It’s gotten more attention due to the meta-research showing women scientists tend to self-cite less than men

I read and write, I explore and I question, I design and script and analyse, I interpret and communicate. I do this to train my mind in the hopes of one day generating new knowledge. New knowledge that might even be useful, and that no algorithm can yet be trained on.

If someone lacks such basic level of curiosity maybe they shouldn’t be doing research

This is a nice paper. It faces down a common problem: in order to explain to why a common approach cannot work even in theory, we first need to teach a framework in which regression is not magic that tells us which variables on right cause the variable on left. It's exhausting.

Anyway great paper!

"Uncooperative statistician": the term used (typically by a senior clinician) to describe a well-trained and knowledgeable statistician who refuses to conduct flawed or fraudulent research.

What worries me? Statements like "searching for biological causes is bound to be unproductive" and studying exposures "diverts funding from more important issues."
That's a false dichotomy! We can tackle overdiagnosis AND investigate why more young people are getting cancer. 10/

Researcher: "I've been funded to study how <bollocks variable>* is a risk factor for <bollocks variable>* in cross sectional data"

(*bonus points if these are different versions of the same damn variable!)

Me: "Can you give the money back?"

Science is grounded in observation. Measurement is a tool for observation. Measurements should be evaluated for validity and reliability/uncertainty. Scientists who use measurements without understanding their properties are not really scientists at all.

This year commemorates the 75th anniversary of the @NIDDKgov. Check out this review to celebrate the achievements and impact of the NIDDK in improving health and well-being of people living with kidney disease, simultaneously published across #ASNJASN #ASNCJASN #ASNKidney360

kidney.pub/JASN0898

Sure sure… who is going to teach the clinicians though. They “very much” don’t understand probabilities let alone odds ratios, ARR, RR, HR

Randomized controlled trials are a key tool to study cause and effect. Why do they matter and how do they work?

Whoa—my book is up for pre-order!

𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData

The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit

The web version will stay free forever and my proceeds go to charity.

tinyurl.com/4fk56fc8

Peer review is vital to publishing high-quality, valid research. JASN wants to recognize the top reviewers of 2025: Drs. Dennis Brown, Ladan Golestaneh, Monica Suet Ying Ng, Navdeep Tangri, and Nicola M. Thomas. Over the next few weeks, we'll share their thoughts on peer review. #PeerReviewWeek

So I decided to take the histamine / #SARSCOV2 / #COVID19 literature for a ride after the astelazine nasal spray randomized trial that showed that application of the spray for 3 times a day may cut the risk of COVID19 PCR confirmed infection by 71%
jamanetwork.com/journals/jam...

Most overused word heard on rounds around the hospital- “trend”. Physicians love it and is an excuse to bypass all thinking and decision making for the day moving along folks…on to the next trend I mean patient

Remembering and Honoring James Kaufman, MD It is with great sadness that we share the passing of Dr James Kaufman who served as Associate Editor of the American Journal of Kidney Diseases for 19 years (2006-2025). Dr Kaufman embarked on his…

More on Dr Kaufman here ajkdblog.org/2025/09/04/i...

The September issue of JASN is now available online! Topics covered this month include: - SGLT2 Inhibitors for Cisplatin-Induced Hypomagnesemia - CHIP and CKD Progression - and more Check out the issue here: kidney.pub/JASN-0925 #ASNJASN Cover by Lasagni et al.

The top 1% of articles attract a very disproportionate number of citations. So much so that I had to make a second subplot for them to make the plot make sense:

Sorry for the rant but human behavior and subconscious biases are difficult to change and hence I prefer to not look at author names anymore