@CarlMoons

Epidemiology;UMCU;Cochrane;Health Innovation Netherlands (HiNL);Center for Side Effects Implants;Prediction Models;Medical tests&apps;Chief Editor Diag&Prog Res

 Nederland
juliuscenter.nl
Joined July 2018
  • Tweets435
  • Following316
  • Followers1.4K
9Media
We agree and work hard to have the handbook out at the end of 2024
Fannie Apostolidou Kiouti@f_apostolidou_q4 Sep 2023
Replying to @Richard_D_Riley @AlbertoEMaraolo @CarlMoons
Can't be too soon!
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And @CarlMoons showcasing the handbook at #cochranelondon
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And then there was prognosis! @CarlMoons @Richard_D_Riley introducing the new #CochranePrognosisHandbook - our youngest in the @cochranecollab Handbook family with 1st chapters due in late 2024
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COMING SOON -> Draft TRIPOD+AI checklist & paper on recommendations for reporting #ArtificialIntelligence studies driven by #MachineLearning and #Statistics for healthcare out with co-authors for comments. #gettingclose #transparency
TRIPOD+AI logo

ALT TRIPOD+AI logo

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Among the many important recommendations in the UK House of Commons report on Reproducibility and Research Integrity, recommendations 11 and 12 are resonate 👇 --> tinyurl.com/bddknttn #statstwitter #methodsmatter #notohobbystatisticians
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We're seeing lots of reviews of prediction models, particularly as a consequence of lots of machine learning studies So we've developed some reporting recommendations for systematic reviews / meta-analyses of prediction models tinyurl.com/2p8vskxw #openaccess #statstwitter
A new reporting guideline for systematic reviews and meta-analyses of clinical prediction model studies, TRIPOD-SRMA.

ALT A new reporting guideline for systematic reviews and meta-analyses of clinical prediction model studies, TRIPOD-SRMA.

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Replying to @Zaks1000 @Kym_Snell @bmj_latest @blevis_epi @Richard_D_Riley @CarlMoons @TPA_Debray @hans_reitsma
No this is a different reporting guideline (for systematic reviews of prediction models) TRIPOD+AI is coming...
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It is indeed - and the paper that shows that is almost out as well.
Abel Torres Espin@AbelTorresEspi217 Mar 2023
Replying to @GSCollins @DrGSBullock @Richard_D_Riley @BenVanCalster @CarlMoons @CSMOxford
Great work. I have my suspicion this is not only in oncology but generalized across medicine and health, unfortunately
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Are you a prediction modeling expert and not yet invited to participate in the Delphi of PROBAST+AI, we would love to hear from you! Send me a DM with your name and email, and I'll get you a personal invitation link
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A great overview of methodological aspects that may still need to be improved when developing machine learning or AI based prediction models for diagnosis, prognosis, prevention or monitoring. Thanks to many colleagues who made this tremendous amount of work possible.
Gary Collins@GSCollins25 Nov 2022
NEW PAPER in @JClinEpi -> "focus is required on handling of missing values, methods for internal validation, & reporting of calibration to improve [...] studies on #machinelearning-based prediction models" tinyurl.com/3zfjs5wu #OpenAccess #StatsTwitter #DataScience #MLtwitter
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We've heard on the grapevine, there are still people who are not using the TRIPOD statement (😲we know) to report their prediction model study. Enlighten them by pointing them to tinyurl.com/3z4fw4zx (checklist) tinyurl.com/mrywn3mk (explanation/examples) #statstwitter
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Roderick Venekamp, Lotty Hooft, Irene Veldhuijzen, Wouter vd Bijllaardt @SuzanPas Vivian Zwart @EstherLodder Marloes Hellwich, Marco Koppelman @Rimo42 Constantijn Wijers, Irene Vroom, Leonard Smeets @La_Nagel Wanda Han, Jan Kluytmans, Susan vd Hof, Janneke vd Wijgert @CarlMoons
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Carl Moons retweeted
The BMJ
@bmj_latest17 Sep 2022
The performance of some home testing kits for covid-19 appears to have declined as the omicron variant emerged, suggests study based on three widely used rapid antigen tests. Performance improved when tests used both nose and throat samples bmj.com/content/378/bmj-2022… @carlmoons

Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with...

Objective To assess the performance of rapid antigen tests with unsupervised nasal and combined oropharyngeal and nasal self-sampling during the omicron period. Design Prospective cross sectional...

bmj.com
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If one is interested in the accuracy of Covid-19 self tests - when used at home (a real world validatie study) - you may want to read this paper. A comprehensive self test validation study, also investigating the added value of throat to nose sampling.
The BMJ
@bmj_latest17 Sep 2022
The performance of some home testing kits for covid-19 appears to have declined as the omicron variant emerged, suggests study based on three widely used rapid antigen tests. Performance improved when tests used both nose and throat samples bmj.com/content/378/bmj-2022… @carlmoons

Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with...

Objective To assess the performance of rapid antigen tests with unsupervised nasal and combined oropharyngeal and nasal self-sampling during the omicron period. Design Prospective cross sectional...

bmj.com
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A unique endeavour this has been. My great Thanks to everyone across the globe, who contributed their data and/or expertise to this challenging but hugely important project that we started already in 2020! You all did it!
Maarten van Smeden@MaartenvSmeden12 Jul 2022
NEW PAPER Large external validation of covid-19 prediction models for mortality @bmj_latest TL;DR: performance highly heterogenous -- often pretty bad --, but some positive exceptions too that require some recalibration bmj.com/content/378/bmj-2021…
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NEW PAPER Large external validation of covid-19 prediction models for mortality @bmj_latest TL;DR: performance highly heterogenous -- often pretty bad --, but some positive exceptions too that require some recalibration bmj.com/content/378/bmj-2021…
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Replying to @GSCollins @DrGSBullock @Richard_D_Riley @BenVanCalster @CarlMoons @CSMOxford @BotnarOxford @ndorms
Great article! Congrats!
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Replying to @GSCollins @DrGSBullock @Richard_D_Riley @BenVanCalster @CarlMoons @CSMOxford @BotnarOxford @ndorms
Great work Paula! Adding the link here for easy access: diagnprognres.biomedcentral.…

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

Diagnostic and Prognostic Research - Prognostic models are used widely in the oncology domain to guide medical decision-making. Little is known about the risk of bias of prognostic models developed...

link.springer.com
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We would like to thank all our participants today at the TRIPOD-#AI consensus meeting today. Excellent discussion on a range of issues to report when developing or validating an #AI/#ML prediction model. Now to refine the checklist. Watch this space!
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Reminder that if you're developing/evaluating a prediction model then report your study according to the TRIPOD Statement --> tinyurl.com/5n7exxw4 --> tinyurl.com/2p9udfdr Updated guidance for #machinelearning available very soon!! tinyurl.com/mvzkymt9 #transparency
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