dr. J.A.A.G. (Anneke) Damen

dr. J.A.A.G. (Anneke) Damen

Assistant Professor
dr. J.A.A.G. (Anneke) Damen
  • Department of Epidemiology



Anneke Damen is a clinical epidemiologist specialized in systematic reviews and meta-analysis of prognostic models.

She studied biomedical sciences at the Radboudumc and specialized in epidemiology and pathobiology. She did several internships at the Radboudumc, the National Expert and Training Centre for Breast Cancer Screening, and at Sanquin blood supply.

In 2014, Anneke started working as a PhD student at the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, under supervision of Prof. Carl Moons, Prof. Rob Scholten, Dr. Lotty Hooft, and Dr. Thomas Debray. Her project focused on systematic reviews and meta-analyses of prediction model studies. She combined her PhD project with the postgraduate master Clinical Epidemiology. Furthermore, she worked as affiliated researcher for Cochrane Netherlands. Here she was active as a teacher on several courses and worked on projects for the Belgian health care Knowledge centre and Zorginstituut Nederland.

Anneke currently works as an assistant professor for Cochrane Netherlands and is the coordinator of the Cochrane Prognosis Methods Group.

Research Output (54)

Comparative performance of cardiovascular risk prediction models in people living with HIV

Tahir Irtiza, Vos Alinda, Damen Johanna, Barth Roos, Tempelman Hugo, Grobbee Diederick, Scheuermaier Karine, Venter Willem, Klipstein-Grobusch Kerstin 15 Nov 2022, In: Southern African Journal of HIV Medicine. 23

The score after 10 years of registration of systematic review protocols

van der Braak Kim, Ghannad Mona, Orelio Claudia, Heus Pauline, Damen Johanna A.A., Spijker René, Robinson Karen, Lund Hans, Hooft Lotty 5 Sep 2022, In: Systematic Reviews. 11 , p. 1-10

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

Dhiman Paula, Ma Jie, Andaur Navarro Constanza L, Speich Benjamin, Bullock Garrett, Damen Johanna A A, Hooft Lotty, Kirtley Shona, Riley Richard D, Van Calster Ben, Moons Karel G M, Collins Gary S 7 Jul 2022, In: Diagnostic and Prognostic Research. 6

Cochrane corner:Biomarkers to improve preoperative prediction of major cardiac outcomes after non-cardiac surgery

Vernooij Lisette M, van Klei Wilton A, Moons Karel Gm, van Waes Judith Ar, Damen Johanna Aag 5 Jul 2022, In: Heart (British Cardiac Society). 108 , p. 1257-1259 3 p.

What did we learn in 35 years of research on nutrition and supplements for age-related macular degeneration:a systematic review

Pameijer Els M, Heus Pauline, Damen Johanna A A, Spijker René, Hooft Lotty, Ringens Peter J, Imhof Saskia M, van Leeuwen Redmer 13 Jun 2022, In: Acta Ophthalmologica. 100 , p. e1541-e1552

Methodological conduct of prognostic prediction models developed using machine learning in oncology:a systematic review

Dhiman Paula, Ma Jie, Andaur Navarro Constanza L., Speich Benjamin, Bullock Garrett, Damen Johanna A.A., Hooft Lotty, Kirtley Shona, Riley Richard D., Van Calster Ben, Moons Karel G.M., Collins Gary S. 8 Apr 2022, In: BMC Medical Research Methodology. 22

Completeness of reporting of clinical prediction models developed using supervised machine learning:a 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 Jan 2022, In: BMC Medical Research Methodology. 22

Clinical prediction models for mortality in patients with covid-19:external validation and individual participant data meta-analysis

de Jong Valentijn M.T., Rousset Rebecca Z., Antonio-Villa Neftalí Eduardo, Buenen Arnoldus G., Van Calster Ben, Bello-Chavolla Omar Yaxmehen, Brunskill Nigel J., Curcin Vasa, Damen Johanna A.A., Fermín-Martínez Carlos A., Fernández-Chirino Luisa, Ferrari Davide, Free Robert C., Gupta Rishi K., Haldar Pranabashis, Hedberg Pontus, Korang Steven Kwasi, Kurstjens Steef, Kusters Ron, Major Rupert W., Maxwell Lauren, Nair Rajeshwari, Naucler Pontus, Nguyen Tri Long, Noursadeghi Mahdad, Rosa Rossana, Soares Felipe, Takada Toshihiko, van Royen Florien S., van Smeden Maarten, Wynants Laure, Modrák Martin, Asselbergs Folkert W., Linschoten Marijke, Moons Karel G.M., Debray Thomas P.A., , 2022, In: BMJ (Clinical research ed.). 378

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

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





Practical 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