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gladstonebrookes.bsky.social

@gladstonebrookes.bsky.social
59 followers 114 following 96 posts

luv soy, luv seed oils, hate animal abuse. simple as

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Georgia Tomova @georgiatomova.bsky.social · 12/08/2026
How many nutrition meta-analyses pool estimates for incomparable research questions, due to different energy adjustment strategies? We looked at an illustrative sample. The answer was all of them! Delighted to share our new meta-scientific review, led by @nataliaortega.bsky.social 👇
academic.oup.com
Meta-analyses of dietary exposures must consider energy adjustment: recommendations from a meta-scientific review
Abstract. In observational studies of dietary exposures, the energy adjustment strategy directly alters the effect being estimated. Adjusting for total ene
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Matthew Nagra, ND @drmatthewnagra.bsky.social · 28/04/2026
🚨NEW PUBLICATION!🚨 We reviewed virtually every major claim behind the seed oil hysteria, and the evidence doesn’t support the fear. The controversy is largely social media-driven, built on ecological correlations, mechanistic speculation, and flawed trials...
tandfonline.com
Concerns about the health effects of industrially produced seed oils are without scientific foundation: a scoping narrative review of the clinical and observational evidence
To reduce cardiovascular disease (CVD) risk, worldwide dietary guidelines emphasize limiting saturated fatty acid (SFA) intake, and replacing SFAs with unsaturated fatty acids, especially polyunsat...
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 26/02/2026
Fun finding: two studies on ostensibly the same research question using the same dataset published in the same journal a few months apart that find the opposite results (Fibre being associated with higher odds of endometriosis in one and lower odds in the other)
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Mark A. Hanson @hansonmark.bsky.social · 13/01/2026
We've got ISSUES. Literally. We scraped >100k special issues & over 1 million articles to bring you a PISS-poor paper. We quantify just how many excess papers are published by guest editors abusing special issues to boost their CVs. How bad is it & what can we do? arxiv.org/abs/2601.07563 A 🧵 1/n
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Kevin C Klatt, PhD, RD @kcklatt.bsky.social · 08/01/2026
For anyone interested in the new Dietary Guidelines, here's a breakdown and my thoughts: kcklatt.substack.com/p/ambiguous-...
kcklatt.substack.com
Ambiguous DGAs & The Rancher's Pyramid
Tame on the surface, more underneath
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
Meta-analyses of dietary exposures must consider energy adjustment (preprint) 🧵 arxiv.org/abs/2512.07531 In observational studies, adjustment for energy intake changes the nature of the effect being estimated – from addition (increasing or decreasing intake of that food while...
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Darren Dahly @statsepi.bsky.social · 29/12/2025
‪It has a name now 😜 Many thanks to Ken for agreeing to put his good name to my...artwork. The image is in the public domain (CC 0), but citations to the linked documents are warmly welcomed. ✅ zenodo.org/records/1808... ✅ pubmed.ncbi.nlm.nih.gov/24452418/
Figure 1: The Rothman-Dahly Evidence Pyramid (original version)

An equilateral triangle with a small blue section labelled "Thoughtful, well-conducted studies of any design" at the top, with the remaining space colored red and labelled "The other shit"
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 16/12/2025
Interesting finding: A rather odd meta-analysis in which not a single study meets their inclusion criteria, and nearly 100% of the data presented is incorrect. I have genuinely no idea how the heck you could end up with this (AI hallucinations? Something else?) pubpeer.com/publications...
A screenshot from Pubpeer of the following text, titled Summary.

This is described as a meta-analysis of 9 RCTs comparing Dienogest to the Combined Oral Contraceptive Pill for treatment of dysmenorrhea, dyschezia, and dyspareunia in deep endometriosis. However,

4 of these studies are not RCTs.

Only 4 are comparing Dienogest to any form of COCP. Of these, none are the form of COCP reported in the meta-analysis (and two are using a COCP that also contains Dienogest).

Only 1 study is specifically on deep endometriosis - the others are instead on general endometriosis, endometrioma, or adenomyosis.

None of the studies have the correct number of participants reported.

None of the studies have the correct mean age reported.

Of the 54 data points reported in the meta-analysis, only 1 (i.e. 2%) is verifiable as being accurately extracted from the original studies and accurately described. The rest do not appear in the included studies at all, or are measuring different things than what is claimed in the meta-analysis.

Therefore, with none of the included studies meeting the authors' basic inclusion criteria, and with almost 100% of the data on study characteristics and results being incorrect, this meta-analysis is rendered nonsensical.
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Peter Tennant @pwgtennant.bsky.social · 08/12/2025
Thrilled to share my latest paper entitled, "Estimating Discrimination in Sentencing: Distinguishing between Good and Bad Controls" Led by @jpinasanchez.bsky.social, the paper introduces a framework for examining discrimination in criminal justice processes. 🧵 1/10 publicera.kb.se/ejels/articl...
Screenshot of title page including the following abstract:

To minimise confounding bias and disentangle warranted from unwarranted disparities, researchers examining sentencing discrimination have traditionally sought to control for as many legal factors as possible. However, over the past decade, a growing number of scholars have questioned this strategy, noting that many legal factors are themselves subject to judicial discretion and that controlling for them can introduce post-treatment bias. Here, we use directed acyclic graphs (DAGs) to provide a formal and comprehensive assessment of the different types of bias that may arise from different choices of controls. In addition, we propose a new modelling framework to facilitate the selection of controls and reflect the model uncertainty created by the trade-off inherent in judicially-defined legal factors and other factors with a similar dual causal role. We apply this framework to examine race disparities in US federal courts and gender disparities in the England and Wales magistrates’ court. We find substantial model uncertainty for gender disparities and for race disparities affecting Hispanic offenders, rendering estimates of the latter inconclusive. Disparities against black offenders are more consistent and — under specific conditions — could be interpreted as evidence of direct discrimination.
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Darren Dahly @statsepi.bsky.social · 13/11/2025
We did a thing. 😬
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Health Nerd @gidmk.bsky.social · 22/09/2025
Remember that cruciferous vegetables and cancer study I wrote about recently? Turns out it's even more borked than I said. Some excellent sleuthing here, the study probably needs to be retracted or extensively corrected.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 21/09/2025
Hey @gidmk.bsky.social, following this post, I dug into the study further, and it turns out there are a *lot* more issues with it. Only one of the estimates used is actually what they claim it is (odds ratio for the association between highest vs lowest intake of cruciferous veg and colon cancer)..
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Sophie E. Hill @sophieehill.bsky.social · 05/09/2025
My thread on the Neurology paper on sweeteners & cognitive health: skywriter.blue/pages/did:pl... And a follow-up thread on some weird patterns in the Appendix tables: skywriter.blue/pages/did:pl... Collated by Skywriter onto a web page for easier reading!
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Kevin C Klatt, PhD, RD @kcklatt.bsky.social · 25/08/2025
This year's Annual Review of Nutrition is out and full of really great reads. My contribution details the broad history of nutritional guidance in America & covers the forces (science/politics/culture) that have driven the evolution of nutrition guidance. www.annualreviews.org/content/jour...
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Erik Arnesen @erikarnesen.bsky.social · 24/08/2025
Nice summary of our new paper in the American Journal of Clinical Nutrition on milk consumption and cardiovascular disease mortality in #Norway 🥛 medicalxpress.com/news/2025-08... #nutrition #cardiology
medicalxpress.com
Semi-skimmed milk introduction in 1980s transformed public health outcomes, study shows
A new study reveals that individuals who enjoyed whole milk during the 1970s and early 1980s had a higher risk of mortality. However, beginning in the mid-1980s, a significant change occurred.
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Darren Dahly @statsepi.bsky.social · 14/08/2025
Academic gut-health microbiome research has not really led to efficacious treatments for specific ailments that can be demonstrated in rigorous studies. But they *have* convinced the public that gut health is somehow, vaguely at the root of all illness, and food companies have profited off this.
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Medlife Crisis (Rohin) @medcrisis.bsky.social · 13/08/2025
I made a little video about the chap who trusted chatGPT to give him safe tips for better health. It did not go well. Live on @nebula.tv now! If you sign up via this link, it helps me too :) If you're already a member, chatGPT said watching this will lower your cholesterol nebula.tv/videos/medli...
nebula.tv
Medlife Crisis — Using chatGPT to Poison Yourself
We are on the precipice of vibe medicine. People using AI to give them health advice...who knows what the future holds as access to healthcare becomes more scarce?
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Saloni @scientificdiscovery.dev · 04/08/2025
New article by me! Cardiovascular disease mortality rates have declined by around three-quarters since 1950, but we rarely hear about it. I explore some of the reasons behind the decline. ourworldindata.org/cardiovascul...
This image depicts a line graph showing cardiovascular mortality rates in the United States from 1933 to 2023, alongside key advancements in medicine, surgery, and public health. The y-axis represents age-standardized death rates from cardiovascular disease, ranging from 0 to 600. The x-axis represents years from 1933 to 2023. 

The graph starts at around 600 deaths per 100,000 people in 1933 and trends downward sharply over the decades, indicating a significant decline in mortality rates. Key advancements are marked along the timeline, including the introduction of the first heart-lung machine in 1953, the first cardiac CT scan in 1977, and the first 3D-printed heart models in 2012. 

Footnote information states that data begins in 1933 when all U.S. states started reporting cardiovascular mortality rates, sourced from the National Center for Heart Statistics in 2020 and the CDC Wonder in 2025. The chart is published by Saloni Dattani at Our World in Data.
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Gil Carvalho MD PhD @gilcarvalhomdphd.bsky.social · 04/08/2025
Saturated fat LIES (and how to see through them) A recent study suggests saturated fat is harmless and has been unfairly demonized Here´s what the influencers will never tell you, and how to protect your health and your loved ones youtu.be/taaEOY5E5Iw
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Opal @opalescentopal.bsky.social · 27/07/2025
With Tom Lehrer's passing, I suppose this is a moment to share the story of the prank he played on the National Security Agency, and how it went undiscovered for nearly 60 years.
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Elisabeth Bik @elisabethbik.bsky.social · 04/07/2025
454 Hints That a Chatbot Wrote Part of a Biomedical Researcher’s Paper Scientists show that the frequency of a set of words seems to have increased in published study abstracts since ChatGPT was released into the world. #giftlink www.nytimes.com/2025/07/02/h...
nytimes.com
454 Hints That a Chatbot Wrote Part of a Biomedical Researcher’s Paper
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David Roberts @volts.wtf · 02/07/2025
Elon Musk casually, and illegally, dismantled USAID. According to a new study in the Lancet, that action will lead to *14 million* premature deaths between 2025 and 2030. Again: Elon Musk is directly responsible for 14 million coming deaths. 4.5 million will be children.
thelancet.com
Evaluating the impact of two decades of USAID interventions and projecting the effects of defunding on mortality up to 2030: a retrospective impact evaluation and forecasting analysis
USAID funding has significantly contributed to the reduction in adult and child mortality across low-income and middle-income countries over the past two decades. Our estimates show that, unless the a...
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Jon Huang @jonhuang.bsky.social · 27/06/2025
My student sent me this and I can't unsee it, so I am blessing the bluesky timeline with this so that I will not be alone
A (likely) AI generated image of what appears to be a community health worker with a notebook talking with a woman in traditional South Asian clothing standing in front of a village with thatched roof houses. Faded in the background is a frequency table from ostensibly two groups.

Overlaid on this image is the following text:

"It wasn't a stethoscope. 
It wasn't a vaccine.
It was a p-value...
that changed everything.

PublicHealth | DataDrivenImpact"

The context: This comes from a linkedin post of someone telling a story that a p-value < 0.05 from a chi-square test was what was needed to motivate expansion of a public health program. Regardless of whether this story is true, it perpetuates an absolutely dangerous and incorrect belief that significance tests can or should be the key factor in driving new interventions and policies.
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Christoffer Baustad Nilsen 🐈 @christofferbn.bsky.social · 18/06/2025
We just published a critical review of the KETO-CTA study — the first study to examine coronary plaque progression in Lean Mass Hyper-Responders (LMHRs) on a ketogenic diet. Here’s why we believe the study’s results have been seriously misrepresented. 1/14
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Medlife Crisis (Rohin) @medcrisis.bsky.social · 11/06/2025
When two surgeons marry each other (troubling, but it happens), how do you figure out which one is the better operator? These things are important, we must know!! Thank goodness we have numbers to look at, because numbers never lie. Right? 🚨NEW VIDEO🚨 youtu.be/F6Y_bpE3r5c?...
youtu.be
How Do You Tell How Good Your Doctor Is?
YouTube video by Medlife Crisis
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Hadley Wickham @hadley.nz · 11/06/2025
Happy 18th birthday ggplot2! #rstats
Balloon wall art inspired by the ggplot2 hex sticker. The display features a hexagonal frame made of black balloons, filled with white balloons inside and surrounded by a background of light and dark blue balloons. A line graph with black balloon segments and round coloured nodes runs across the centre, and the word “ggplot2” is spelled out in black balloon letters below the chart.
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Dr Ellie Murray, ScD @epiellie.bsky.social · 07/06/2025
Having read the full MAHA report, what stands out the most to me, as an epidemiologist, is how inexplicably sloppy it is. The US government collects data on every health condition you can think of, and the report doesn’t use any of it.
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Doremus Schafer @doremus-schafer.bsky.social · 30/05/2025
Oh, it's already happened: A large Norwegian city wrote a report on school closures which cited a slew of AI-hallucinated papers - and this op-ed praised the AI for "pointing to spaces of knowledge", as a way to "inspire and invite the [future] papers we need". www.nordnorskdebatt.no/tromso-feile...
Why AI hallucinates – and why that's not the point

When a language model like ChatGPT can’t find concrete documentation, it tries to fill in the blanks with what it thinks fits. It “hallucinates” – but not randomly. It builds on patterns it has learned from large amounts of text, and tries to create plausible connections. This means that it sometimes invents a source, but not necessarily a bad idea.

Perhaps this is precisely what we should listen to. When AI shows us connections we didn’t know were written down, it is effectively saying: “Based on everything I’ve seen, someone should have said this.” It points to a space for knowledge, not necessarily a mistake. Several researchers were upset at being attributed opinions they hadn’t formulated. That’s understandable. But it’s also possible to see it as inspiration – as invitations to precisely the reports we actually need.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 29/05/2025
Dietary context in the association between red meat consumption and risk of type 2 diabetes pubmed.ncbi.nlm.nih.gov/40320163/
pubmed.ncbi.nlm.nih.gov
Dietary context in the association between red meat consumption and risk of type 2 diabetes - PubMed
The risk associated with high red meat consumption persisted even among participants with a relatively high diet quality, underscoring the importance of limiting red meat consumption to prevent T2D.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 25/05/2025
Well, this seems like a perfectly reasonable DAG...
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Kevin C Klatt, PhD, RD @kcklatt.bsky.social · 15/05/2025
Fortunate to contribute to this edition of @annualreviews.bsky.social and the timing couldn't be more serendipitous as nutrition is at the forefront of many folks' minds and there is active conversations about what future Dietary Guidelines should look like. www.annualreviews.org/content/jour...
annualreviews.org
Make America Healthy, Again? The Past, Present and Future of Dietary Guidelines | Annual Reviews
Dietary guidelines have been placed under unprecedented scrutiny in the past decade, as the “obesity epidemic” enters its fifth decade with limited evidence of public health progress. In the era of su...
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Medlife Crisis (Rohin) @medcrisis.bsky.social · 14/05/2025
As soon as RFK Jr was appointed, it was only a matter of time before Wakefield 2.0 was offered a role in the Trump administration. But still, it is shocking to see.
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Julia M. Rohrer @dingdingpeng.the100.ci · 11/05/2025
Thanks to everybody who chimed in! I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist. So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>
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Derek Beres @derekberes.bsky.social · 09/05/2025
My prediction: once vaccines are “proven” to cause autism, the people in the “autism registry” will begin receiving information about “better ways to manage autism.” RFK Jr has made clear he’s not pursuing socialized medicine because he thinks the free market is a better option for health care. 🧵
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Depravity Pike @gravity-pike.bsky.social · 10/05/2025
"We'll just terraform Mars," they insist, unable to terraform Earth, a planet that is already perfect except it's like 2° too warm.
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Tim Kaiser @tkaiser.science · 09/05/2025
My proudest work. Have a lot of old Schulenstreit memes that are "enraged psychoanalysts send messages to my superiors" worthy, not sure if I should post them here 😂
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 07/05/2025
Aetiology of type 2 diabetes: an experimental medicine odyssey "This review describes a prolonged research endeavour to test the twin cycle hypothesis that type 2 diabetes is caused by fat-induced dysfunction of the liver and pancreas" link.springer.com/article/10.1...
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Dr Ellie Murray, ScD @epiellie.bsky.social · 06/05/2025
The anti-vaccine crowd say they just want to “see the evidence” in the form of placebo-controlled randomized trials. But we've done these trials. And we know our vaccines work. Which is precisely why we can't use placebo to test better vaccines. Read more: epiellie.substack.com/p/first-do-n...
New vaccines get placebo-controlled trials. Improved vaccines shouldn't.
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Peter Tennant @pwgtennant.bsky.social · 30/04/2025
Very excited to share my latest paper, led by @georgiatomova.bsky.social, comparing approaches for analysing 'compositional data' published in @biomedcentral.bsky.social Medical Research Methodology. More details below! 🧵 1/ bmcmedresmethodol.biomedcentral.com/articles/10.... #EpiSky #StatsSky
Screenshot of title and abstract for paper entitled: "A comparison of methods for analysing compositional data with fixed and variable
totals: a simulation study using the examples of time‑use and dietary data"
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Reese Richardson @reeserichardson.bsky.social · 25/04/2025
ScienceGuardians is a platform describing itself as the "first fully verified journal club" dedicated to fighting the "PubPeer Network Mob". They boast of a stringent verification process. On a whim, I registered an account for Larry Richardson, my grandma's cat. It was approved in 2 hours.
ScienceGuardians X account @SciGuardians. Bio reads: "Empowering academia with tools, training and transparency 🌐 First fully verified journal club & post-publication peer review 🔎 scienceguardians.com | Nonprofit". Their header image reads "First fully verified journal club".An excerpt from the ScienceGuardians website:

At ScienceGuardians, we are committed to:
– Creating a Secure Environment: Our stringent verification process ensures that every member is a legitimate contributor from the academic, research, or publishing realm. This commitment to authenticity sets the stage for meaningful and responsible discussions. While we provide the choice for members to stay anonymous in discussions, their identities have been verified, ensuring they are legitimate members of the community, not unverified individuals engaging in disruptive behavior. By hosting authors, reviewers, editors, academic institutions, and publishers, we ensure a balanced and comprehensive perspective in every dialogue.Larry the cat's profile under the name Lawrence Richardson. The profile picture is a cat.
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Medlife Crisis (Rohin) @medcrisis.bsky.social · 22/04/2025
An excellent overview, very snappily edited, exploring the explosion in BS health influencers & understanding why they’re not trustworthy. Featuring me and two of my favourite people in this online medical world, Dr Simi Adedeji & Dr Andrea Love @drandrealove.bsky.social youtu.be/1gEdPlDnFKs?...
youtu.be
How to Tell If a Health Influencer Is Full of Sh*t
YouTube video by Dr Esh
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Gil Carvalho MD PhD @gilcarvalhomdphd.bsky.social · 18/04/2025
New video out on the Keto and heart disease study (aka LMHR). Findings, FAQs and what it all means. check out the full video below incl. my chat with the senior author Dr. Matthew Budoff clarifying several standing issues 🔽
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Erik Arnesen @erikarnesen.bsky.social · 17/04/2025
Some of my favorite studies by @kevinh-phd.bsky.social 1) “Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity” (2015) www.cell.com/cell-metabol...
cell.com
Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity
Hall et al. investigated 19 adults with obesity that selectively restricted dietary carbohydrate versus fat. Cutting carbohydrates increased net fat oxidation while equal calorie fat restriction had n...
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Kevin Hall @kevinh-phd.bsky.social · 16/04/2025
After 21 years at my dream job, I’m very sad to announce my early retirement from the National Institutes of Health. My life’s work has been to scientifically study how our food environment affects what we eat, and how what we eat affects our physiology.
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Kevin C Klatt, PhD, RD @kcklatt.bsky.social · 16/04/2025
If you're keeping track of the long list of things this admin's done that flies in the face of MAHA, censoring and ultimately losing the top intramural nutrition scientist studying food processing and health is definitely towards the top.
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Tamar Haspel @tamarhaspel.bsky.social · 14/04/2025
I've never seen a ton of bricks come down so hard on a study. In it, keto enthusiasts test their theory that very high LDL isn't as risky in lean, metabolically healthy people on keto diets as it is in others. The test: plaque progression in that cohort. www.sciencedirect.com/science/arti...
sciencedirect.com
Plaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial
Changes in low-density lipoprotein cholesterol (LDL-C) among people following a ketogenic diet (KD) are heterogeneous. Prior work has identified an in…
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Health Nerd @gidmk.bsky.social · 10/04/2025
This is from a published randomized trial with 138 citations.
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Randall Munroe @xkcd.com · 08/04/2025
Tariffs xkcd.com/3073
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Rafe Meager (they/them) @economeager.bsky.social · 06/04/2025
today we will all read imbens 2021 on statistical significance and p values, which is a strong contender for having the best opening paragraph of any stats paper pubs.aeaweb.org/doi/pdf/10.1...
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