Back

prof. dr. K.G.M. (K. (Carl) G.M. ) Moons

prof. dr. K.G.M. (K. (Carl) G.M. ) Moons

Full Professor
prof. dr. K.G.M. (K. (Carl) G.M.  ) Moons
  • Department of Epidemiology
  • Julius Center Research Program Methodology

Research Programs

Strategic Program Cancer

Biography

Biography

K.G.M. (Carl) Moons is Professor of Clinical Epidemiology at the Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, The Netherlands. He is Director of Research of the Julius Center (550 Employees). He headed the research program ‘Research Methodology’ until 2019. 

Education:

- MSc in Biomedical Sciences (Radboud University Nijmegen, 1992);

- MSc in Clinical Epidemiology (Erasmus University Rotterdam, 1994)

- PhD in Medicine (Erasmus University Rotterdam, 1996).

Since 2005 full Professor of Clinical Epidemiology at the Julius Center,UMC Utrecht, Utrecht University, Utrecht, The Netherlands.

He was a visiting Professor at the University of Virginia, USA (2002) and at Tokai University, Japan (2005-2010).

He has been a member of various committees, e.g. Netherlands Organization for Scientific Research, Royal Dutch Academy of Sciences, Dutch Health Council, Cochrane Collaboration, and Medical Ethical Committees.

He is principal investigator in numerous international clinical (epidemiology) studies funded by various organisations (EU, NHS, NIH). His experience covers the full range of conduct, data analysis, reporting and dissemination of such studies, varying from studies on the evaluation of medical devices and tests for diagnosis, prognosis, screening and monitoring, to etiological studies and randomised therapeutic trials, to meta-epidemiological studies, both on aggregate and individual participant data. His main focus concerns improving the methods and approaches for evaluation and implementation of medical devices, (bio)markers and prediction models. His major expertise is introducing innovations for the design, conducting, analysis and reporting of evaluations of diagnostic and prognostic tests, devices, (bio)markers and prediction models. Clinical topics include cancer, deep vein thrombosis, stroke, heart failure and peri-operative risk assessment. He teaches graduate and postgraduate students in all aspects of clinical (epidemiological) research design, conducting, analysis and reporting, throughout the world.

Indicators of Research Excellence

Over his career Professor Moons has published over 480 peer-reviewed publications (including scientific papers and book chapters) with >22,000 citations (H index 72, Scopus). He has obtained numerous (methodological and applied) research grants, including large prestigious personal grants (in summary over 10 million euro as co-PI). The (societal) impact of his research record has also been recognised by membership of the Dutch Health Council, Chair of Committee of the Royal Netherlands Academy of Arts and Sciences, membership of numerous committees of Dutch Scientific Organisations, and interviews for national and internal news magazines. He also teaches bachelor, master, post doctoral students in clinical research across the world, including Asia and Africa.

 

Side Activities

Adjunct Professor of Clinical Epidemiology, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, USA. (since 2005)

Adjunct Professor of Clinical Epidemiology, Center of Statistics in Medicine, Oxford University, Oxford, UK (since 2017)

Staff Cochrane Netherlands.

Member of Cochrane Collaboration; Convenor Cochrane's Prognosis Methods Group; Member of IPD Meta-analysis group and Diagnostic Test Accuracy Group.

Editor-in-chief BMC Diagnostic and Prognostic Research.

Member of the Dutch Health Council

Chair of The Netherlands Implant Side-effects Expertise Center

Initiator and ambassador of Health Innovation Initiative Holland (Hii Holland)

Fellowship and Awards

2003 VIDI Award        The Netherlands Organisation for Health Research and Development, Role: Principal Investigator, “Diagnostic Prediction Rules; innovative methods to improve their applicability”.

2008 TOP Grant         The Netherlands Organisation for Health Research and Development, Role: Principal Investigator, "Clinical prediction rules: towards a framework for meta-analysis, validation, and updating"

2010 VICI Award        The Netherlands Organisation for Health Research and Development, Role: Principal Investigator “A different view on diagnostic research: a framework for studying the  Differential diagnosis and diseases with an imperfect or missing reference test"

Research Output (662)

The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery

Vernooij Lisette M, van Klei Wilton A, Moons Karel Gm, Takada Toshihiko, van Waes Judith, Damen Johanna Aag 21 Dec 2021, In: The Cochrane database of systematic reviews. 2021 , p. 1-439

Risk of bias in studies on prediction models developed using supervised machine learning techniques:Systematic review

Andaur Navarro Constanza L., Damen Johanna A.A., Takada Toshihiko, Nijman Steven W.J., Dhiman Paula, Ma Jie, Collins Gary S., Bajpai Ram, Riley Richard D., Moons Karel G.M., Hooft Lotty 20 Oct 2021, In: The BMJ. 375 , p. 1-9

Diagnostic accuracy of rapid antigen tests in asymptomatic and presymptomatic close contacts of individuals with confirmed SARS-CoV-2 infection:cross sectional study

Schuit Ewoud, Veldhuijzen Irene K, Venekamp Roderick P, van den Bijllaardt Wouter, Pas Suzan D, Lodder Esther B, Molenkamp Richard, GeurtsvanKessel Corine H, Velzing Jans, Huisman Robin C, Brouwer Lieke, Boelsums Timo L, Sips Gregorius J, Benschop Kimberly S M, Hooft Lotty, van de Wijgert Janneke H H M, van den Hof Susan, Moons Karel G M 27 Jul 2021, In: BMJ (Clinical research ed.). 374

Effectiveness of contact tracing apps for SARS-CoV-2:a rapid systematic review

Jenniskens Kevin, Bootsma Martin C J, Damen Johanna A A G, Oerbekke Michiel S, Vernooij Robin W M, Spijker René, Moons Karel G M, Kretzschmar Mirjam E E, Hooft Lotty 12 Jul 2021, In: BMJ Open. 11 , p. 1-14 22 p.

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Collins Gary S, Dhiman Paula, Andaur Navarro Constanza L, Ma Jie, Hooft Lotty, Reitsma Johannes B, Logullo Patricia, Beam Andrew L, Peng Lily, Van Calster Ben, van Smeden Maarten, Riley Richard D, Moons Karel Gm 9 Jul 2021, In: BMJ Open. 11 , p. 1-7

SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Hageman Steven, Pennells Lisa, Ojeda Francisco, Kaptoge Stephen, Kuulasmaa Kari, de Vries Tamar, Xu Zhe, Kee Frank, Chung Ryan, Wood Angela, McEvoy John William, Veronesi Giovanni, Bolton Thomas, Dendale Paul, Ference Brian A., Halle Martin, Timmis Adam, Vardas Panos, Danesh John, Graham Ian, Salomaa Veikko, Visseren Frank, De Bacquer Dirk, Blankenberg Stefan, Dorresteijn Jannick, Di Angelantonio Emanuele, Achenbach Stephan, Aleksandrova Krasimira, Amiano Pilar, Amouyel Philippe, Andersson Jonas, Bakker Stephan J. L., Costa Rui Bebiano Da Providencia, Beulens Joline W. J., Blaha Michael, Bobak Martin, Boer Jolanda M. A., Bonet Catalina, Bonnet Fabrice, Boutron-Ruault Marie-Christine, Braaten Tonje, Brenner Hermann, Brunner Fabian, Brunner Eric J., Brunstrom Mattias, Buring Julie, Ikram M. Kamran, Moons Karel G. M., van der Schouw Yvonne T., Verschuren W. M. Monique, 1 Jul 2021, In: European heart journal. 42 , p. 2439-2454 16 p.

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved

Dhiman Paula, Ma Jie, Navarro Constanza Andaur, Speich Benjamin, Bullock Garrett, Damen Johanna Aa, Kirtley Shona, Hooft Lotty, Riley Richard D, Van Calster Ben, Moons Karel G M, Collins Gary S 29 Jun 2021, In: Journal of Clinical Epidemiology. 138 , p. 60-72 13 p.

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies:the STARD-AI protocol

Sounderajah Viknesh, Ashrafian Hutan, Golub Robert M, Shetty Shravya, De Fauw Jeffrey, Hooft Lotty, Moons Karel, Collins Gary, Moher David, Bossuyt Patrick M, Darzi Ara, Karthikesalingam Alan, Denniston Alastair K, Mateen Bilal Akhter, Ting Daniel, Treanor Darren, King Dominic, Greaves Felix, Godwin Jonathan, Pearson-Stuttard Jonathan, Harling Leanne, McInnes Matthew, Rifai Nader, Tomasev Nenad, Normahani Pasha, Whiting Penny, Aggarwal Ravi, Vollmer Sebastian, Markar Sheraz R, Panch Trishan, Liu Xiaoxuan, 28 Jun 2021, In: BMJ Open. 11 , p. 1-7

Real-time imputation of missing predictor values improved the application of prediction models in daily practice

Nijman Steven Willem Joost, Groenhof T. Katrien J., Hoogland Jeroen, Bots Michiel L., Brandjes Menno, Jacobs John J.L., Asselbergs Folkert W., Moons Karel G.M., Debray Thomas P.A. Jun 2021, In: Journal of Clinical Epidemiology. 134 , p. 22-34 13 p.

All research output

Thank you for your review!

Has this information helped you?

Please tell us why, so that we can improve our website.

Working at UMC Utrecht

Contact

Emergency?

Directions

Appointments

Practical

umcutrecht.nl maakt gebruik van cookies

Deze website maakt gebruik van cookies Deze website toont video’s van o.a. YouTube. Dergelijke partijen plaatsen cookies (third party cookies). Als u deze cookies niet wilt kunt u dat hier aangeven. Wij plaatsen zelf ook cookies om onze site te verbeteren.

Lees meer over het cookiebeleid

Akkoord Nee, liever niet