Florian Naudet
@floriannaudet.bsky.social
2.5K followers 3.5K following 860 posts
Meta-researcher, Clinician, Professor at Rennes University, Senior member at Institut Universitaire de France, affiliate at METRICStanford. ORCID: 0000-0003-3760-3801 Posts are my own. Website: https://restores.univ-rennes.fr/
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floriannaudet.bsky.social
It is good to see the move on Bluesky because, X was starting to be boring. Nice to e-meet so many new followers here. Here is a 🧶 that is introduces most of my research interests. It is about #metaresearch #openscience and #medicine.
floriannaudet.bsky.social
Far… far… from my record that ended to be a masterpiece. link.springer.com/article/10.1...
The “Free lunches” index for assessing academics: a not entirely serious proposal - Scientometrics
Background Evaluating academics is a challenge, and the use of indicators such as scientific impact (i.e. number of published papers and their citation rate) is complex and poorly validated. We propose a new indicator for academic medical research: the “Free lunches” index (fl-index), computed from the sum of gifts from the industry. The fl-index provides a direct and straightforward measure of industry investment consisting in regaling a clinical researcher with rewards like a leisurely meal in a Michelin-starred restaurant or a relaxing stay in a high-end resort hotel. Methods and findings 3,936 French academics were included in this observational and satirical retrospective study using the French database registering gifts received by medical doctors and Web of Science, over the years 2014–2019. Pearson’s correlation coefficients explored the associations between the fl-index and in the h-index (the maximum number of published papers h that have each been cited at least h times) increase over the period 2014–2019. The diagnostic properties and optimal thresholds of the fl-index for detecting high scientific productivity were explored. High scientific productivity was defined as ranking in the top 25% scientists in terms of increase in the h-index. To detect possible differences according to medical disciplines, subgroup analyses were performed. The correlation coefficient between the fl-index and the increase in the h-index was 0.31 (95% CI 0.29 to 0.34). The optimal threshold was 7,700 € for the fl-index, giving a sensitivity of 65% (95% CI 61 to 67%), a specificity of 59% (95% CI 57 to 61%). However, there were considerable differences across medical disciplines, with correlations ranging from 0.12 (Morphology and morphogenesis) to 0.51 (Internal medicine, geriatrics, general surgery and general medicine), and the median fl-index ranging from 37 € (Public health, environment and society) to 30 404 € (Cardiorespiratory and vascular pathologies). Importantly, the highest correlations and values for the fl-index were observed for clinical disciplines. Conclusions Overall, the correlation between the fl-index and an increase in the h-index was modest so that the fl-index cannot be used as a surrogate for academic success as gauged by productivity-based metrics. However, future residents could use these results to complement the usual metrics in order to choose (or avoid) certain specialties, depending on whether they are more eager to produce scientific articles or to enjoy an affluent lifestyle that they consider well-deserved. Registration osf.io/7d4bk.
link.springer.com
Reposted by Florian Naudet
ploederl.bsky.social
Hehe, rejection record so far: 5
🙈
floriannaudet.bsky.social
Ah yes, just waiting for the peer reviewed publication ;)
floriannaudet.bsky.social
New post on ResToRes's website: "The Lancet–WCRIF commission on research integrity"
A new Lancet–WCRIF Commission on Research Integrity takes aim at the growing crisis of fake science and questionable research practices, calling for coordinated global action.
restores.univ-rennes.fr/highlights/l...
Reposted by Florian Naudet
grios-openscience.bsky.social
Our reflections from #Metascience25 are now up in our blog, incl. what we learned about #OpenScience from national frameworks, the Metascience Alliance, an IPCC-like proposal and what comes next for evidence-based Open Science policy.
Read more 👉 www.grios.org/grios-at-met...
#Metascience #Research
Blog post: GRIOS at Metascience 2025: building bridges between evidence and policy
Reposted by Florian Naudet
statsepi.bsky.social
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.
jamiecummins.bsky.social
Can large language models stand in for human participants?
Many social scientists seem to think so, and are already using "silicon samples" in research.

One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want.

THREAD 🧵
The threat of analytic flexibility in using large language models to simulate human data: A call to attention
Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...
arxiv.org
Reposted by Florian Naudet
sharectd.bsky.social
A must read work from our network. 👍
floriannaudet.bsky.social
"A New Hope: SHARE-CTD trilogy concludes with data reuse"
The @sharectd.bsky.social project concludes its "trilogy" with a guide to clinical trial data reuse. In this chapter, @giulia-varvar.bsky.social introduces principles to support effective data reuse.

restores.univ-rennes.fr/highlights/n...
floriannaudet.bsky.social
Grateful to all colleagues and friends who made this 15-year journey such a unique adventure 🙏
floriannaudet.bsky.social
We covered a lot: post-publication peer review, pharma marketing, rejection 😤, maleable meta-analyses, open science & data sharing, research integrity, incentives, and what it means to live inside science as a meta-researcher.
floriannaudet.bsky.social
It was great to look back on 15 years of (meta)research, from early work in methodology and antidepressants, to collaborations with John Ioannidis & the METRICS team at @stanforduniversity.bsky.social with the shift toward meta-research.
floriannaudet.bsky.social
Thanks to Adrien Fillon & Nathanael Larigaldie for inviting me on their podcast Répare ta science [In French] 🎙
ResToRes ta science -Florian Naudet # 14
open.spotify.com
Reposted by Florian Naudet
adrienfillon.bsky.social
Merci à toi d’être venu et j’espère que tu apprécie le titre, j’ai tout donné 😂
floriannaudet.bsky.social
New post on ResToRes' website: Open science and transparency are the strongest tools we have to defend against fraudulent publishing. A @plos.org Medicine editorial argues that making data openly available protects the integrity of science.

restores.univ-rennes.fr/highlights/f...
floriannaudet.bsky.social
New post on RestoRes's website. "New initiative seeks evidence for effective open science practices"

The Global Research Initiative on Open Science, officially launched last week, aims to identify what works (and what doesn’t) in Open Science worldwide.

restores.univ-rennes.fr/highlights/n...
Reposted by Florian Naudet
giulia-varvar.bsky.social
I'm pleased to say that the paper I have written with the amazing guide of @floriannaudet.bsky.social and is now online.
The trilogy is finally concluded!
floriannaudet.bsky.social
"A New Hope: SHARE-CTD trilogy concludes with data reuse"
The @sharectd.bsky.social project concludes its "trilogy" with a guide to clinical trial data reuse. In this chapter, @giulia-varvar.bsky.social introduces principles to support effective data reuse.

restores.univ-rennes.fr/highlights/n...
floriannaudet.bsky.social
May the force be with you. Great researcher you are @giulia-varvar.bsky.social.
floriannaudet.bsky.social
👇👇👇
ploederl.bsky.social
1/32 Fluoxetine's loss of efficacy for the treatment of pediatric depression.

🚨 New paper and pre-print alert 🚨

With great colleagues @floriannaudet.bsky.social @richlyus.bsky.social @markhoro.bsky.social @joannamoncrieff.bsky.social and Gert van Valkenhoef

A longer 🧵
Reposted by Florian Naudet
ploederl.bsky.social
32/ “...Overall, resolving these challenges goes beyond the scope of our commentary and we hope that it will stir necessary discussions, re-evaluations of guidelines, and treatment recommendations.”

Our preprint is here and it has now been accepted for publication: osf.io/preprints/ps...
OSF
osf.io
Reposted by Florian Naudet
ploederl.bsky.social
31/ “...and we should also avoid the situation that patients abruptly stop medication as this can create problematic withdrawal symptoms. Patients who decide they wish to stop an antidepressant should be advised to consult a clinician expert in deprescribing.
Reposted by Florian Naudet
ploederl.bsky.social
30/ "...despite substantial research efforts and there are good reasons to remain sceptical about such a project. Recognition that antidepressants lack clinical meaningful average efficacy in this age group does not mean leaving depressed patients without support,
Reposted by Florian Naudet
ploederl.bsky.social
29/ “...A common assumption is that some patients may benefit especially well from antidepressants thus clearly outweighing side effects. However, robust predictors of subgroups of patients with substantially larger drug-placebo-differences have not yet been identified “
Reposted by Florian Naudet
ploederl.bsky.social
28/ “...as remission without treatment occurs in up to half of people with depression and is more likely in children and adolescents. Clinicians should be aware that in light of small or doubtful efficacy, side-effects create an unfavourable harm-benefit ratio.