Search Results - "Hooft, Lotty"

Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 by Struyf, Thomas, Deeks, Jonathan J, Dinnes, Jacqueline, Takwoingi, Yemisi, Davenport, Clare, Leeflang, Mariska Mg, Spijker, René, Hooft, Lotty, Emperador, Devy, Domen, Julie, Horn, Sebastiaan R A, Van den Bruel, Ann

“…The clinical implications of SARS-CoV-2 infection are highly variable. Some people with SARS-CoV-2 infection remain asymptomatic, whilst the infection can…”
Get more information

Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 disease by Struyf, Thomas, Deeks, Jonathan J, Dinnes, Jacqueline, Takwoingi, Yemisi, Davenport, Clare, Leeflang, Mariska Mg, Spijker, René, Hooft, Lotty, Emperador, Devy, Dittrich, Sabine, Domen, Julie, Horn, Sebastiaan R A, Van den Bruel, Ann

“…Some people with SARS-CoV-2 infection remain asymptomatic, whilst in others the infection can cause mild to moderate COVID-19 disease and COVID-19 pneumonia,…”
Get more information

Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection by Dinnes, Jacqueline, Deeks, Jonathan J, Adriano, Ada, Berhane, Sarah, Davenport, Clare, Dittrich, Sabine, Emperador, Devy, Takwoingi, Yemisi, Cunningham, Jane, Beese, Sophie, Dretzke, Janine, Ferrante di Ruffano, Lavinia, Harris, Isobel M, Price, Malcolm J, Taylor-Phillips, Sian, Hooft, Lotty, Leeflang, Mariska Mg, Spijker, René, Van den Bruel, Ann

“…Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting COVID-19 pandemic present important diagnostic challenges. Several diagnostic…”
Get more information

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 by 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

“…IntroductionThe Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk…”
Get full text

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review by de Hond, Anne A. H., Leeuwenberg, Artuur M., Hooft, Lotty, Kant, Ilse M. J., Nijman, Steven W. J., van Os, Hendrikus J. A., Aardoom, Jiska J., Debray, Thomas P. A., Schuit, Ewoud, van Smeden, Maarten, Reitsma, Johannes B., Steyerberg, Ewout W., Chavannes, Niels H., Moons, Karel G. M.

“…While the opportunities of ML and AI in healthcare are promising, the growth of complex data-driven prediction models requires careful quality and…”
Get full text

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist by Salameh, Jean-Paul, Bossuyt, Patrick M, McGrath, Trevor A, Thombs, Brett D, Hyde, Christopher J, Macaskill, Petra, Deeks, Jonathan J, Leeflang, Mariska, Korevaar, Daniël A, Whiting, Penny, Takwoingi, Yemisi, Reitsma, Johannes B, Cohen, Jérémie F, Frank, Robert A, Hunt, Harriet A, Hooft, Lotty, Rutjes, Anne W S, Willis, Brian H, Gatsonis, Constantine, Levis, Brooke, Moher, David, McInnes, Matthew D F

“…Systematic reviews of diagnostic test accuracy (DTA) studies are fundamental to the decision making process in evidence based medicine. Although such studies…”
Get full text

A guide to systematic review and meta-analysis of prediction model performance by 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

“…Validation of prediction models is highly recommended and increasingly common in the literature. A systematic review of validation studies is therefore…”
Get full text

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration by Cohen, Jérémie F, Korevaar, Daniël A, Altman, Douglas G, Bruns, David E, Gatsonis, Constantine A, Hooft, Lotty, Irwig, Les, Levine, Deborah, Reitsma, Johannes B, de Vet, Henrica C W, Bossuyt, Patrick M M

“…Diagnostic accuracy studies are, like other clinical studies, at risk of bias due to shortcomings in design and conduct, and the results of a diagnostic…”
Get full text

Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection by Dinnes, Jacqueline, Sharma, Pawana, Berhane, Sarah, van Wyk, Susanna S, Nyaaba, Nicholas, Domen, Julie, Taylor, Melissa, Cunningham, Jane, Davenport, Clare, Dittrich, Sabine, Emperador, Devy, Hooft, Lotty, Leeflang, Mariska Mg, McInnes, Matthew Df, Spijker, René, Verbakel, Jan Y, Takwoingi, Yemisi, Taylor-Phillips, Sian, Van den Bruel, Ann, Deeks, Jonathan J

“…Accurate rapid diagnostic tests for SARS-CoV-2 infection would be a useful tool to help manage the COVID-19 pandemic. Testing strategies that use rapid antigen…”
Get more information

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes by Debray, Thomas PA, Damen, Johanna AAG, Riley, Richard D, Snell, Kym, Reitsma, Johannes B, Hooft, Lotty, Collins, Gary S, Moons, Karel GM

“…It is widely recommended that any developed—diagnostic or prognostic—prediction model is externally validated in terms of its predictive performance measured…”
Get full text

STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies by Bossuyt, Patrick M, Reitsma, Johannes B, Bruns, David E, Gatsonis, Constantine A, Glasziou, Paul P, Irwig, Les, Lijmer, Jeroen G, Moher, David, Rennie, Drummond, de Vet, Henrica C W, Kressel, Herbert Y, Rifai, Nader, Golub, Robert M, Altman, Douglas G, Hooft, Lotty, Korevaar, Daniël A, Cohen, Jérémie F

“…Incomplete reporting has been identified as a major source of avoidable waste in biomedical research. Essential information is often not provided in study…”
Get full text

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 by 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

“…Many randomized controlled trials (RCTs) are biased and difficult to reproduce due to methodological flaws and poor reporting. There is increasing attention…”
Get full text

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis by 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

“…The Framingham risk models and pooled cohort equations (PCE) are widely used and advocated in guidelines for predicting 10-year risk of developing coronary…”
Get full text

Editor's Choice – Spinal Cord Ischaemia in Endovascular Thoracic and Thoraco-abdominal Aortic Repair: Review of Preventive Strategies by Dijkstra, Martijn L., Vainas, Tryfon, Zeebregts, Clark J., Hooft, Lotty, van der Laan, Maarten J.

“…The incidence of spinal cord ischaemia (SCI) and subsequent paraplegia after thoracic endovascular aneurysm repair (TEVAR) and thoraco-abdominal endovascular…”
Get full text

Reporting Quality of Systematic Reviews and Meta-Analyses of Otorhinolaryngologic Articles Based on the PRISMA Statement by Peters, Jeroen P M, Hooft, Lotty, Grolman, Wilko, Stegeman, Inge

“…Systematic reviews (SRs) and meta-analyses (MAs) provide the highest possible level of evidence. However, poor conduct or reporting of SRs and MAs may reduce…”
Get full text

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

“…While many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based…”
Get full text

GRADE guidelines: 22. The GRADE approach for tests and strategies—from test accuracy to patient-important outcomes and recommendations by Schünemann, Holger J., Mustafa, Reem A., Brozek, Jan, Santesso, Nancy, Bossuyt, Patrick M., Steingart, Karen R., Leeflang, Mariska, Lange, Stefan, Trenti, Tommaso, Langendam, Miranda, Scholten, Rob, Hooft, Lotty, Murad, Mohammad Hassan, Jaeschke, Roman, Rutjes, Anne, Singh, Jasvinder, Helfand, Mark, Glasziou, Paul, Arevalo-Rodriguez, Ingrid, Akl, Elie A., Deeks, Jonathan J., Guyatt, Gordon H.

“…This article describes the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group's framework of moving from test accuracy to…”
Get full text

Galactomannan detection for invasive aspergillosis in immunocompromised patients by Leeflang, Mariska M G, Debets-Ossenkopp, Yvette J, Wang, Junfeng, Visser, Caroline E, Scholten, Rob J P M, Hooft, Lotty, Bijlmer, Henk A, Reitsma, Johannes B, Zhang, Mingming, Bossuyt, Patrick M M, Vandenbroucke-Grauls, Christina M

“…Invasive aspergillosis is the most common life-threatening opportunistic invasive mycosis in immunocompromised patients. A test for invasive aspergillosis…”
Get more information

Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement by 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

“…As complete reporting is essential to judge the validity and applicability of multivariable prediction models, a guideline for the Transparent Reporting of a…”
Get full text

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

“…Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology. We conducted a…”
Get full text