In the office last week, an older female patient held up her right hand, extended the index finger, and showed me a deformed third knuckle, saying, "I think I have Peyronie's disease (PD) of the finger." Her husband snorted, and I laughed. Direct-to-consumer (DTC) pharmaceutical advertising is effective when I have female octogenarians diagnosing themselves with relatively obscure conditions. PD affects neither fingers nor women, and yet my patient knows about it thanks to commercials and the website bentcarrot.com (yes, bentcarrot.com). This is not the first time DTC ads have invaded my patient appointments, and I am amused and bothered by their power to shape patients' identities. The ads don't just inform patients about illness and treatment options - they recruit armies around branded conditions and encourage an identity defined by illness. Illness identity - the degree to which a chronic condition shapes someone's sense of self - is itself a focus of research. There is a robust body of literature discussing how DTC creates patient identities, complete with communities, advocacy groups, and social movements around branded conditions. See the PD commercial that informed my patient:
https://www.youtube.com/watch?v=yOZVg_s6FIU
Read about Illness Identity:
https://journals.sagepub.com/doi/full/10.1177/1474515118811960
These data come from a NEJM article arguing that Liraglutide (a first-generation, lower-cost GLP-1 that is less effective at weight loss) should be made available to a wider population.:
https://www.nejm.org/doi/full/10.1056/NEJMp2515668
The second X thread is by a French PhD chemist, Simon Maechlin (check out this science/data-focused substack:
https://substack.com/@simonmaechling
), which covers a topic on one of those "additional GLP-1 benefits" - dementia. He discusses two large trials demonstrating GLP-1s FAILING to slow the progression of early Alzheimer's disease. Maechlin offers a good perspective on how these data are a great example of thoughtful, well-designed studies that advance our understanding through rigor and trial design (or, as he puts it, hope≠evidence).:
https://x.com/simonmaechling/status/1998345545543188957?s=42
More of these GLP-1s are coming. Meet retatrutide:
https://www.wired.com/story/people-are-already-taking-this-unapproved-new-weight-loss-drug-triple-g-retatrutide/?utm_source=nl&utm_brand=wired&utm_mailing=WIR_Daily_121325&utm_campaign=aud-dev&utm_medium=email&utm_content=WIR_Daily_121325&bxid=5c48c58f24c17c44347b30d8&cndid=16143959&hasha=ca3e215fc660247aa63f3956718db782&hashc=492e9f4ceb1b62b711223075fca7d289f3d9b8373fd99f4ef6b1ec11c4f61db5&esrc=AUTO_OTHER&utm_term=WIR_Daily
I found a striking article based on zoo data: "A large comparative biology meta-analysis (71 published studies looking at 117 zoo-housed mammals across 22 vertebrate species) demonstrated that permanent surgical sterilization and ongoing hormonal contraception increase life expectancy by 10-20% across all the species studied. These data are the first comprehensive evidence that reproductive processes (i.e., sex hormones) fundamentally constrain adult survival independent of environment." Who is going to tell my wealthy, longevity-focused patients that hormone blockers and surgical sterilization (i.e., spaying and neutering can be for humans too) should be in their 'tool box' of treatments? Sometimes, good data is not the data we want. Article:
https://www.nature.com/articles/s41586-025-09836-9
AI-supported analysis:
https://claude.ai/public/artifacts/c8e8b240-c6a1-4b29-87dc-d12b175f93a4
Related: Here is a 2024 example of a challenging but fascinating dataset—a large, well-designed, long-term Danish survey that shows that the closer wealthy people live to poorer people, the less supportive they become of wealth redistribution policies (i.e., welfare or other income support). These data contradict other observational studies. Perhaps this highlights abstract altruism - generosity toward the poor, but only from a distance. While the research has some methodological problems, it is a novel and nuanced finding in a large data set. Article:
https://www.cambridge.org/core/journals/british-journal-of-political-science/article/unequal-and-unsupportive-exposure-to-poor-people-weakens-support-for-redistribution-among-the-rich/FC32FA59B3C5525A178C7012859F95D8
AI-Supported analysis:
https://claude.ai/public/artifacts/d359b79c-16ba-4d36-89d5-7e4851651bee
and "F.D.A. Expands Covid Vaccine Inquiry to Adult Deaths. The agency claimed that 10 children's deaths were linked to the shots, although it did not release evidence to support the assertions.":
https://www.vaccineadvisor.com/news/fda-memo-claims-covid-19-vaccine-tied-to-10-child-deaths/
Monitoring for ongoing vaccine safety is clinically appropriate and already part of the FDA's role. When biased investigators hunt for confirmatory data and promote de-contextualized associations to a fearful public, there are real consequences. (The FDA memo implies that the COVID vaccine is a previously undisclosed and direct cause of death.) Healthcare is nuanced and must be described in terms of risks and benefits. I wonder what the (now) 303 South Carolinians exposed to measles think about vaccines.:
https://www.reuters.com/business/healthcare-pharmaceuticals/south-carolina-measles-cases-rise-126-amid-accelerating-outbreak-2025-12-12/
AI-supported Summary of the research. You should read the questions and LLM's responses.:
https://claude.ai/public/artifacts/72d0ab60-71b5-4f28-b63f-ddffb2b7fafb
(And yes, the adjective for individuals from Luxembourg is Luxembourgish.) I found an interesting discussion about the pre-AI era concerns about how machines could replace humans. In 1979, Psychologist Robyn Dawes wrote a review paper demonstrating that simple mathematical multivariate models, as long as they included the right variables, often outperformed both highly tuned mathematical models and humans in predicting diseases and outcomes. In other words, knowing the right variables and their general impact (positive/negative relationship) is 90% of the battle. He argued that mathematically simpler models are easier to explain to clinicians, more transparent, and more likely to be utilized. Interpreted another way, in 1979, it was clear that simple math could integrate numerous clinical diagnostic variables more consistently than humans. We are now exploring whether AI can more consistently go the next step and offer initial and ongoing treatment. Paper: https://www.cmu.edu/dietrich/sds/docs/dawes/the-robust-beauty-of-improper-linear-models-in-decision-making.pdf X-Thread that exposed me to this discussion:
https://x.com/alexolegimas/status/1999318997465276575
AI-supported summary:
https://claude.ai/public/artifacts/8911c048-0dd7-4dd0-9962-bdc1e93aed6f
The answer (to the treatment question) is getting closer to "yes." I missed this article back in July: "Robotic Surgeon Flawlessly Removes Pig Gallbladder Without Human Control.":
https://studyfinds.org/robot-surgeon-flawlessly-perform-surgery-johns-hopkins/
I got scolded by event staff for this 30-second video clip, but it was worth it:
https://drive.google.com/file/d/1YSR_qvuhSVH_qzVBJzNNqO0FlSzqkC9Z/view?usp=sharing
and:
https://open.spotify.com/track/0T1wjV7WApGHJOcI03TXe0?si=61c4638dd398496f
Related: I learned that I also enjoy clever Christmas a cappella music about comma placement. The connotative conundrum: God Rest Ye, Merry Gentlemen vs. God Rest Ye Merry, Gentlemen vs. God, Rest Ye Merry Gentlemen vs. God, Rest Ye, Merry Gentlemen. (You'll have to watch the video to learn the answer.):
https://www.instagram.com/reel/DR032CTDDv1/?igsh=MTRpdW5nb2Jvajdhaw==
Headline of the week: "Highly-Stressed Rats Sought Puffs of Cannabis to Relax." (Of course, it is psychology research, but why are the rats stressed out? And where do they get their weed? Is being a rat taxing in ways I previously didn't appreciate?):
https://www.discovermagazine.com/highly-stressed-rats-sought-puffs-of-cannabis-to-relax-48395
and:
https://www.nature.com/articles/s41386-025-02286-x
Screen-time dopamine is a powerful force—even for parrots. Researchers developed a parrot-to-parrot video-calling system and studied 18 pet birds over three months to evaluate whether birds would choose to call each other. (The study's delightful title: "Birds of a Feather Video-Flock Together: An Agency-Based Parrot-to-Parrot Video-Calling System for Interspecies Ethical Enrichment.") I wonder if the researchers have considered Zoom-like groups, including lions (irrespective of their accent) and whales? [See last week's newsletter.:
https://www.aaha.org/trends-magazine/publications/squawk-of-the-town-parrot-study-reveals-how-technology-can-enrich-the-lives-of-pet-parrots/
and:
https://dl.acm.org/doi/10.1145/3544548.3581166
and See the Things I learned section about lions:
https://www.whatadamisreading.com/2025/12/what-adam-is-reading-week-of-12-8-25.html
Gemini:
https://drive.google.com/file/d/1ZJeSAJMrNuN6YbPNtnSmcoQtZ00_0ztF/view?usp=sharing
ChatGPT:
https://drive.google.com/file/d/1vSE5SCrk3pWZXvMTwHuo-RZ8oWn-Oc4u/view?usp=sharing
Grok:
https://drive.google.com/file/d/1WHeKwXXSSWK5ZZfqmaNDPomF-XwIXYex/view?usp=sharing
based upon:
https://biobot.io/data/
Wastewater Scan offers a multi-organism wastewater dashboard with an excellent visual display of individual treatment plant-level data.:
https://data.wastewaterscan.org/
Clean hands and sharp minds,
Adam