Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement von Heus, Pauline, Damen, Johanna A A G, Pajouheshnia, Romin, Scholten, Rob J P M, Reitsma, Johannes B, Collins, Gary S, Altman, Douglas G, Moons, Karel G M, Hooft, Lotty

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Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review von 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

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Prediction models for cardiovascular disease risk in the general population: systematic review von Damen, Johanna A A G, Hooft, Lotty, Schuit, Ewoud, Debray, Thomas P A, Collins, Gary S, Tzoulaki, Ioanna, Lassale, Camille M, Siontis, George C M, Chiocchia, Virginia, Roberts, Corran, Schlüssel, Michael Maia, Gerry, Stephen, Black, James A, Heus, Pauline, van der Schouw, Yvonne T, Peelen, Linda M, Moons, Karel G M

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A guide to systematic review and meta-analysis of prediction model performance von Debray, Thomas P A, Damen, Johanna A A G, Snell, Kym I E, Ensor, Joie, Hooft, Lotty, Reitsma, Johannes B, Riley, Richard D, Moons, Karel G M

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

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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models von Andaur Navarro, Constanza L., Damen, Johanna A.A., van Smeden, Maarten, Takada, Toshihiko, Nijman, Steven W.J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G.M., Hooft, Lotty

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The methodological quality of 176,620 randomized controlled trials published between 1966 and 2018 reveals a positive trend but also an urgent need for improvement von Vinkers, Christiaan H, Lamberink, Herm J, Tijdink, Joeri K, Heus, Pauline, Bouter, Lex, Glasziou, Paul, Moher, David, Damen, Johanna A, Hooft, Lotty, Otte, Willem M

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SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models von Andaur Navarro, Constanza L., Damen, Johanna A.A., Ghannad, Mona, Dhiman, Paula, van Smeden, Maarten, Reitsma, Johannes B., Collins, Gary S., Riley, Richard D., Moons, Karel G.M., Hooft, Lotty

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Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models von 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

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Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review von 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.

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Outcomes of Minimally Invasive Thyroid Surgery - A Systematic Review and Meta-Analysis von de Vries, Lisa H, Aykan, Dilay, Lodewijk, Lutske, Damen, Johanna A A, Borel Rinkes, Inne H M, Vriens, Menno R

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The score after 10 years of registration of systematic review protocols von van der Braak, Kim, Ghannad, Mona, Orelio, Claudia, Heus, Pauline, Damen, Johanna A A, Spijker, René, Robinson, Karen, Lund, Hans, Hooft, Lotty

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Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis von Damen, Johanna A, Pajouheshnia, Romin, Heus, Pauline, Moons, Karel G M, Reitsma, Johannes B, Scholten, Rob J P M, Hooft, Lotty, Debray, Thomas P A

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Both clinical trial register and electronic bibliographic database searches were needed to identify randomized clinical trials for systematic reviews: an evaluation study von Kaul, Tabea, Colombijn, Julia M.T., Vernooij, Robin W.M., Spijker, Rene, Idema, Demy L., Huis in ‘t Veld, Linde F., Damen, Johanna A.A., Hooft, Lotty

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Type I interferon sensing unlocks dormant adipocyte inflammatory potential von Chan, Calvin C., Damen, Michelle S. M. A., Moreno-Fernandez, Maria E., Stankiewicz, Traci E., Cappelletti, Monica, Alarcon, Pablo C., Oates, Jarren R., Doll, Jessica R., Mukherjee, Rajib, Chen, Xiaoting, Karns, Rebekah, Weirauch, Matthew T., Helmrath, Michael A., Inge, Thomas H., Divanovic, Senad

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Proteoglycan 4 reduces friction more than other synovial fluid components for both cartilage-cartilage and cartilage-metal articulation von Damen, A.H.A., van Donkelaar, C.C., Cardinaels, R.M., Brandt, J.-M., Schmidt, T.A., Ito, K.

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Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed von Levis, Brooke, Snell, Kym I E, Damen, Johanna A A, Hattle, Miriam, Ensor, Joie, Dhiman, Paula, Andaur Navarro, Constanza L, Takwoingi, Yemisi, Whiting, Penny F, Debray, Thomas P A, Reitsma, Johannes B, Moons, Karel G M, Collins, Gary S, Riley, Richard D

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The performance of resurfacing implants for focal cartilage defects depends on the degenerative condition of the opposing cartilage von Damen, A.H.A., Nickien, M., Ito, K., van Donkelaar, C.C.

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Cytokines and microbicidal molecules regulated by IL-32 in THP-1-derived human macrophages infected with New World Leishmania species von Dos Santos, Jéssica Cristina, Heinhuis, Bas, Gomes, Rodrigo Saar, Damen, Michelle S M A, Real, Fernando, Mortara, Renato A, Keating, Samuel T, Dinarello, Charles A, Joosten, Leo A B, Ribeiro-Dias, Fátima

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Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies von Heus, Pauline, Damen, Johanna A A G, Pajouheshnia, Romin, Scholten, Rob J P M, Reitsma, Johannes B, Collins, Gary S, Altman, Douglas G, Moons, Karel G M, Hooft, Lotty

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