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gladstonebrookes.bsky.social

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

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

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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/09/2026
Someone appears to have got lost lol
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/09/2026
The same applies in another case, where the draft cites a relevant Kim et al, 2019 – but the published paper has an irrelevant reference (but also Kim et al, 2019) in its place.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/09/2026
I wonder if this particular error is BMC's fault – as part of the peer review reports, there is a resubmitted draft that adds this section and correctly cites a meta-analysis of 67 RCTs (also Huang et al., 2026). static-content.springer.com/openpeerrevi... www.nature.com/articles/s41...
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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 · 21/04/2026
This doesn't seem surprising when you observe that the y-axis variable is funding *per death* – we'd expect this variable to be inversely associated with mortality, because mortality is right there in the denominator.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 06/03/2026
So we're in agreement that it is *not* the case that almost all respondents were from India?
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 05/03/2026
I interpreted it as '23,268 adults, where adult is the given age range in the given countries.' I don't think it makes sense otherwise.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 05/03/2026
India was only one country of 29, contributing a bit under 10% of the total sample. www.kcl.ac.uk/news/almost-...
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 26/02/2026
1. www.nature.com/articles/s41... 2. www.nature.com/articles/s41...
nature.com
Unveiling the correlation between dietary fiber intake and endometriosis: a cross-sectional analysis of NHANES data - Scientific Reports
Scientific Reports - Unveiling the correlation between dietary fiber intake and endometriosis: a cross-sectional analysis of NHANES data
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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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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 13/01/2026
Though I think there is actually a small issue with this meta-analysis that no one has noticed (but I doubt it would meaningfully change the conclusions).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 13/01/2026
2. As it was only on patients following laparoscopic surgery, this limits generalisability to other groups of endometriosis patients (which is true, but that's just what their research question was and it's clear throughout, so I don't see an issue with the actual methodology).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 13/01/2026
Lol yeah. In fairness, I don't think the letter you linked is really interesting/damning to that meta-analysis. Their points are: 1 . There was high heterogeneity, so they think the authors should have done a meta-regression and subgroup analyses (but this isn't feasible with so few studies).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 13/01/2026
Ah, I see, thank you. That's a different thing in a similarly-named but separate journal (Journal of Minimally Invasive Gynecology vs. Gynecology and Minimally Invasive Therapy).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 13/01/2026
Not to my knowledge... Where are you seeing this? As far as I know, the journal hasn't published any letter or response.
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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 · 08/01/2026
What would say is the best evidence the following the recs in these guidelines increases risk of pancreatitis?
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
I haven't got around to listening to this yet but now I definitely need to!
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
Congrats on the new paper @nataliaortega.bsky.social @pwgtennant.bsky.social @georgiatomova.bsky.social @deirdretobias.bsky.social @christinadahm.bsky.social (I hope this is a faithful summary 😬)
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
E.g. instead of "the association between red meat and CHD was ...", one might use "the substitution of 50 g/day of fish in place of 50 g/day of red meat was associated with ... lower/higher risk of CHD."
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
...estimates that target the same research question, and clearly explaining what quantitative results are describing.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
They provide recommendations for researchers conducting meta-analyses, such as clearly specifying in advance what causal effects you are interested in, identifying what adjustments will produce an estimate for this effect, only pooling...
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
This review found that most studies are implicitly estimating substitution effects, but this is rarely acknowledged or justified in the original studies or accounted for in meta-analyses. This means the meta-analyses are pooling data for a mix of different research questions, not a single one.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
If one then combines estimates in a meta-analysis without considering whether total energy or other dietary components were adjusted for, you end up essentially pooling estimates for different effects (not good!)
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
Adjustment for other dietary components on top of total energy limits what the substitution can be (e.g. substitution of red meat for some combination of foods in the rest of the diet *excluding* fruits and vegetables).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/01/2026
...keeping the rest of the diet the same) to substitution (increasing intake of that food while decreasing some other component(s) of the diet).
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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 · 18/12/2025
This has been published and (supposedly) peer-reviewed. journals.lww.com/gmit/fulltex...
journals.lww.com
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 16/12/2025
@gidmk.bsky.social @elisabethbik.bsky.social @mumumouse2.bsky.social @academic-integrity.bsky.social @smutclyde.bsky.social @thatsregrettab1.bsky.social Sorry if the tagging is annoying, but you all are cool people I follow who are into research integrity, so thought you might find it interesting.
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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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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 15/12/2025
I hear diamond has similar properties.
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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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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 07/12/2025
Real
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Darren Dahly @statsepi.bsky.social · 13/11/2025
We did a thing. 😬
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/11/2025
Typo in one of the summary tables, I think. 360 out of 1000 is 36%, not 3.6%, so the absolute risk difference should be 3% (not 0.3%), which is clinically significant under their criteria (so not "little to no difference" as is currently written).
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 04/11/2025
They seem to have decided that the minimal clinically important difference is 5% absolute risk difference for MACE and 1% for mortality, irrespective of follow-up time. Though I don't see an explanation for why these were chosen.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 18/10/2025
This was just retracted. onlinelibrary.wiley.com/doi/10.1002/... pubpeer.com/publications...
The above article, published online on 22 June 2025 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Y. Martin Lo; and Wiley Periodicals, LLC. The retraction has been agreed upon following an investigation into concerns raised by a third party. The investigation concluded that the article does not sufficiently present the biological rationale required to justify the use of Mendelian Randomization for the research question, as outlined in the STROBE-MR guidelines cited by the authors. Furthermore, the article contains inconsistencies in how cheese consumption is described and its reported association with chronic fatigue syndrome, including distinctions not supported by the methods or results. Additionally, the article's abstract claims an association between “breakfast affinity” and chronic fatigue syndrome, but this is not supported elsewhere in the text or figures. Finally, the article lacks details on any correction for multiple testing, despite the large number of variables examined. The authors cooperated with our investigation, explaining that these errors and omissions were inadvertent. They also provided additional data; however, this was not deemed sufficient to restore confidence in the article. As a result, the editor considers its findings unreliable. The authors disagree with the retraction.
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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 · 22/09/2025
You're right, I agree the p-values part is actually fine, and I fully retract that part of my criticism. Sorry for the confusion.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 21/09/2025
This guy's takes on nutrition include the belief that seed oils cause school shootings by weakening your connection to God, and that heroin overdose is because of seed oils.
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 21/09/2025
bsky.app/profile/glad...
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 21/09/2025
...there is apparent cherry-picking that biases the result towards finding a beneficial effect of cruciferous vegetable consumption, and the sensitivity analysis is full of incorrect p-values. pubpeer.com/publications...
pubpeer.com
PubPeer - Cruciferous vegetables intake and risk of colon cancer: a do...
There are comments on PubPeer for publication: Cruciferous vegetables intake and risk of colon cancer: a dose–response meta-analysis (2025)
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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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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 20/09/2025
My new favourite graph.
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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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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 01/09/2025
So it could be a (butter)fly on the wall?
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gladstonebrookes.bsky.social @gladstonebrookes.bsky.social · 29/08/2025
Cruciferous vegetables and colon cancer. pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov
Cruciferous vegetables intake and risk of colon cancer: a dose–response meta-analysis
Colon cancer (CC) is the third most diagnosed malignancy and second leading cause of cancer mortality globally, with ~ 1.9 million new cases and 903,859 deaths annually (Bray et al. in CA Cancer J Cli...
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