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  1. Clinical prediction models/scores help clinicians make optimal evidence-based decisions when caring for their patients. To critically appraise such prediction models for use in a clinical setting, essential in...

    Authors: Kasim E. Abdulaziz, Jeffrey J. Perry, Krishan Yadav, Dar Dowlatshahi, Ian G. Stiell, George A. Wells and Monica Taljaard
    Citation: Diagnostic and Prognostic Research 2022 6:9
  2. Prediction modeling studies often have methodological limitations, which may compromise model performance in new patients and settings. We aimed to examine the relation between methodological quality of model ...

    Authors: Isabel R. A. Retel Helmrich, Ana Mikolić, David M. Kent, Hester F. Lingsma, Laure Wynants, Ewout W. Steyerberg and David van Klaveren
    Citation: Diagnostic and Prognostic Research 2022 6:8
  3. In response to the global COVID-19 pandemic, many in vitro diagnostic (IVD) tests for SARS-CoV-2 have been developed. Given the urgent clinical demand, researchers must balance the desire for precise estimates...

    Authors: Camilla Sammut-Powell, Charles Reynard, Joy Allen, John McDermott, Julian Braybrook, Rosa Parisi, Daniel Lasserson and Richard Body
    Citation: Diagnostic and Prognostic Research 2022 6:12
  4. When a predictor variable is measured in similar ways at the derivation and validation setting of a prognostic prediction model, yet both differ from the intended use of the model in practice (i.e., “predictor...

    Authors: Kim Luijken, Jia Song and Rolf H. H. Groenwold
    Citation: Diagnostic and Prognostic Research 2022 6:7
  5. With rising cost pressures on health care systems, machine-learning (ML)-based algorithms are increasingly used to predict health care costs. Despite their potential advantages, the successful implementation o...

    Authors: Andrew W. Huang, Martin Haslberger, Neto Coulibaly, Omar Galárraga, Arman Oganisian, Lazaros Belbasis and Orestis A. Panagiotou
    Citation: Diagnostic and Prognostic Research 2022 6:4
  6. In diagnostic evaluation, it is necessary to assess the clinical impact of a new diagnostic as well as its diagnostic accuracy. The comparative interrupted time series design has been proposed as a quasi-exper...

    Authors: Thomas R. Fanshawe, Philip J. Turner, Marjorie M. Gillespie and Gail N. Hayward
    Citation: Diagnostic and Prognostic Research 2022 6:3
  7. Obtaining accurate estimates of the risk of COVID-19-related death in the general population is challenging in the context of changing levels of circulating infection.

    Authors: Elizabeth J. Williamson, John Tazare, Krishnan Bhaskaran, Helen I. McDonald, Alex J. Walker, Laurie Tomlinson, Kevin Wing, Sebastian Bacon, Chris Bates, Helen J. Curtis, Harriet J. Forbes, Caroline Minassian, Caroline E. Morton, Emily Nightingale, Amir Mehrkar, David Evans…
    Citation: Diagnostic and Prognostic Research 2022 6:6
  8. Diagnosing ventilator-associated pneumonia (VAP) in an intensive care unit (ICU) is a complex process. Our aim was to collect, evaluate and represent the information relating to current clinical practice for t...

    Authors: W. S. Jones, J. Suklan, A. Winter, K. Green, T. Craven, A. Bruce, J. Mair, K. Dhaliwal, T. Walsh, A. J. Simpson, S. Graziadio and A. J. Allen
    Citation: Diagnostic and Prognostic Research 2022 6:5
  9. Assessing calibration—the agreement between estimated risk and observed proportions—is an important component of deriving and validating clinical prediction models. Methods for assessing the calibration of pro...

    Authors: Peter C. Austin, Hein Putter, Daniele Giardiello and David van Klaveren
    Citation: Diagnostic and Prognostic Research 2022 6:2
  10. Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associations may occur, thereby potenti...

    Authors: Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk, Arjen van der Schaaf, Murielle E. Mauer, Karel G. M. Moons, Johannes B. Reitsma and Ewoud Schuit
    Citation: Diagnostic and Prognostic Research 2022 6:1
  11. Using two large datasets from Dorset, we previously reported an internally validated multivariable risk model for predicting the risk of GI malignancy in IDA—the IDIOM score. The aim of this retrospective obse...

    Authors: Orouba Almilaji, Gwilym Webb, Alec Maynard, Thomas P. Chapman, Brian S. F. Shine, Antony J. Ellis, John Hebden, Sharon Docherty, Elizabeth J. Williams and Jonathon Snook
    Citation: Diagnostic and Prognostic Research 2021 5:23
  12. NG (nasogastric) tubes are used worldwide as a means to provide enteral nutrition. Testing the pH of tube aspirates prior to feeding is commonly used to verify tube location before feeding or medication. A pH ...

    Authors: Melody Ni, Mina E. Adam, Fatima Akbar, Jeremy R. Huddy, Simone Borsci, Peter Buckle, Francesca Rubulotta, Reuben Carr, Ian Fotheringham, Claire Wilson, Matthew Tsang, Susan Harding, Nichola White and George B. Hanna
    Citation: Diagnostic and Prognostic Research 2021 5:22
  13. Chronic kidney disease (CKD) is a well-established complication in people with diabetes mellitus. Roughly one quarter of prevalent patients with diabetes exhibit a CKD stage of 3 or higher and the individual c...

    Authors: Mariella Gregorich, Andreas Heinzel, Michael Kammer, Heike Meiselbach, Carsten Böger, Kai-Uwe Eckardt, Gert Mayer, Georg Heinze and Rainer Oberbauer
    Citation: Diagnostic and Prognostic Research 2021 5:19
  14. Demand for both the ambulance service and the emergency department (ED) is rising every year and when this demand is excessive in both systems, ambulance crews queue at the ED waiting to hand patients over. So...

    Authors: Jamie Miles, Richard Jacques, Janette Turner and Suzanne Mason
    Citation: Diagnostic and Prognostic Research 2021 5:18
  15. Prognosis for the occurrence of relapses in individuals with relapsing-remitting multiple sclerosis (RRMS), the most common subtype of multiple sclerosis (MS), could support individualized decisions and diseas...

    Authors: Konstantina Chalkou, Ewout Steyerberg, Patrick Bossuyt, Suvitha Subramaniam, Pascal Benkert, Jens Kuhle, Giulio Disanto, Ludwig Kappos, Chiara Zecca, Matthias Egger and Georgia Salanti
    Citation: Diagnostic and Prognostic Research 2021 5:17
  16. Patients presenting with chest pain represent a large proportion of attendances to emergency departments. In these patients clinicians often consider the diagnosis of acute myocardial infarction (AMI), the tim...

    Authors: Charles Reynard, Glen P. Martin, Evangelos Kontopantelis, David A. Jenkins, Anthony Heagerty, Brian McMillan, Anisa Jafar, Rajendar Garlapati and Richard Body
    Citation: Diagnostic and Prognostic Research 2021 5:16
  17. Superficial venous thrombosis (SVT) is considered a benign thrombotic condition in most patients. However, it also can cause serious complications, such as clot progression to deep venous thrombosis (DVT) and ...

    Authors: F. S. van Royen, M. van Smeden, K. G. M. Moons, F. H. Rutten and G. J. Geersing
    Citation: Diagnostic and Prognostic Research 2021 5:15
  18. The United Kingdom Myeloma Research Alliance (UK-MRA) Myeloma Risk Profile is a prognostic model for overall survival. It was trained and tested on clinical trial data, aiming to improve the stratification of ...

    Authors: Kara-Louise Royle and David A. Cairns
    Citation: Diagnostic and Prognostic Research 2021 5:14
  19. Incremental value (IncV) evaluates the performance change between an existing risk model and a new model. Different IncV metrics do not always agree with each other. For example, compared with a prescribed-dos...

    Authors: Qian M. Zhou, Lu Zhe, Russell J. Brooke, Melissa M. Hudson and Yan Yuan
    Citation: Diagnostic and Prognostic Research 2021 5:13
  20. Most patients who present with depression are treated in primary care by general practitioners (GPs). Relapse of depression is common (at least 50% of patients treated for depression will relapse after a singl...

    Authors: Andrew S. Moriarty, Lewis W. Paton, Kym I. E. Snell, Richard D. Riley, Joshua E. J. Buckman, Simon Gilbody, Carolyn A. Chew-Graham, Shehzad Ali, Stephen Pilling, Nick Meader, Bob Phillips, Peter A. Coventry, Jaime Delgadillo, David A. Richards, Chris Salisbury and Dean McMillan
    Citation: Diagnostic and Prognostic Research 2021 5:12
  21. Rapid treatment of stroke improves outcomes, but accurate early recognition can be challenging. Between 20 and 40% of patients suspected to have stroke by ambulance and emergency department staff later receive...

    Authors: Lisa Shaw, Sara Graziadio, Clare Lendrem, Nicholas Dale, Gary A. Ford, Christine Roffe, Craig J. Smith, Philip M. White and Christopher I. Price
    Citation: Diagnostic and Prognostic Research 2021 5:11
  22. Invasive urodynamics is used to investigate the causes of lower urinary tract symptoms; a procedure usually conducted in secondary care by specialist practitioners. No study has yet investigated the feasibilit...

    Authors: Sarah Milosevic, Natalie Joseph-Williams, Bethan Pell, Elizabeth Cain, Robyn Hackett, Ffion Murdoch, Haroon Ahmed, A. Joy Allen, Alison Bray, Samantha Clarke, Marcus J. Drake, Michael Drinnan, Kerenza Hood, Tom Schatzberger, Yemisi Takwoingi, Emma Thomas-Jones…
    Citation: Diagnostic and Prognostic Research 2021 5:10
  23. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Ross Bicknell, Wen Kwang Lim, Andrea B. Maier and Dina LoGiudice
    Citation: Diagnostic and Prognostic Research 2021 5:9

    The original article was published in Diagnostic and Prognostic Research 2020 4:17

  24. We suggest an adaptive sample size calculation method for developing clinical prediction models, in which model performance is monitored sequentially as new data comes in.

    Authors: Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria Wanitschek, Ewout W. Steyerberg and Ben Van Calster
    Citation: Diagnostic and Prognostic Research 2021 5:6
  25. Pregnancy offers a unique opportunity to identify women at higher future risk of type 2 diabetes mellitus (DM). In pregnancy, a woman has greater engagement with the healthcare system, and certain conditions a...

    Authors: Stephanie H. Read, Laura C. Rosella, Howard Berger, Denice S. Feig, Karen Fleming, Padma Kaul, Joel G. Ray, Baiju R. Shah and Lorraine L. Lipscombe
    Citation: Diagnostic and Prognostic Research 2021 5:5
  26. The aim of RApid community Point-of-care Testing fOR COVID-19 (RAPTOR-C19) is to assess the diagnostic accuracy of multiple current and emerging point-of-care tests (POCTs) for active and past SARS-CoV2 infect...

    Authors: Brian D. Nicholson, Gail Hayward, Philip J. Turner, Joseph J. Lee, Alexandra Deeks, Mary Logan, Abigail Moore, Anna Seeley, Thomas Fanshawe, Jason Oke, Constantinos Koshiaris, James P. Sheppard, Uy Hoang, Vaishnavi Parimalanathan, George Edwards, Harshana Liyange…
    Citation: Diagnostic and Prognostic Research 2021 5:4
  27. The methods with which prediction models are usually developed mean that neither the parameters nor the predictions should be interpreted causally. For many applications, this is perfectly acceptable. However,...

    Authors: Lijing Lin, Matthew Sperrin, David A. Jenkins, Glen P. Martin and Niels Peek
    Citation: Diagnostic and Prognostic Research 2021 5:3
  28. In vitro fertilisation (IVF) comprises a sequence of interventions concerned with the creation and culture of embryos which are then transferred to the patient’s uterus. While the clinically important endpoint...

    Authors: Jack Wilkinson, Andy Vail and Stephen A. Roberts
    Citation: Diagnostic and Prognostic Research 2021 5:2
  29. Clinical prediction models (CPMs) have become fundamental for risk stratification across healthcare. The CPM pipeline (development, validation, deployment, and impact assessment) is commonly viewed as a one-ti...

    Authors: David A. Jenkins, Glen P. Martin, Matthew Sperrin, Richard D. Riley, Thomas P. A. Debray, Gary S. Collins and Niels Peek
    Citation: Diagnostic and Prognostic Research 2021 5:1
  30. Despite advances in the care of women and their babies in the past century, an estimated 1.7 million babies are born still each year throughout the world. A robust method to estimate a pregnant woman’s individ...

    Authors: Jessica K. Sexton, Michael Coory, Sailesh Kumar, Gordon Smith, Adrienne Gordon, Georgina Chambers, Gavin Pereira, Camille Raynes-Greenow, Lisa Hilder, Philippa Middleton, Anneka Bowman, Scott N. Lieske, Kara Warrilow, Jonathan Morris, David Ellwood and Vicki Flenady
    Citation: Diagnostic and Prognostic Research 2020 4:21
  31. A systematic review of economic evaluations for lung cancer identified no economic models of the UK setting based on disease natural history. We first sought to develop a new model of natural history for popul...

    Authors: Edward Griffin, Chris Hyde, Linda Long, Jo Varley-Campbell, Helen Coelho, Sophie Robinson and Tristan Snowsill
    Citation: Diagnostic and Prognostic Research 2020 4:20
  32. HIV/AIDS remains a leading cause of death worldwide. Recently, a model has been developed in Wenzhou, China, to predict the survival of people living with HIV/AIDS (PLWHA) who underwent antiretroviral therapy ...

    Authors: Junfeng Wang, Tanwei Yuan, Xuemei Ling, Quanmin Li, Xiaoping Tang, Weiping Cai, Huachun Zou and Linghua Li
    Citation: Diagnostic and Prognostic Research 2020 4:19
  33. Premature mortality is an important population health indicator used to assess health system functioning and to identify areas in need of health system intervention. Predicting the future incidence of prematur...

    Authors: Laura C. Rosella, Meghan O’Neill, Stacey Fisher, Mackenzie Hurst, Lori Diemert, Kathy Kornas, Andy Hong and Douglas G. Manuel
    Citation: Diagnostic and Prognostic Research 2020 4:18
  34. For residential aged care facility (RACF) residents with dementia, lack of prognostic guidance presents a significant challenge for end of life care planning. In an attempt to address this issue, models have b...

    Authors: Ross Bicknell, Wen Kwang Lim, Andrea B. Maier and Dina LoGiudice
    Citation: Diagnostic and Prognostic Research 2020 4:17

    The Correction to this article has been published in Diagnostic and Prognostic Research 2021 5:9

  35. The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population ...

    Authors: Jamie Miles, Janette Turner, Richard Jacques, Julia Williams and Suzanne Mason
    Citation: Diagnostic and Prognostic Research 2020 4:16
  36. Urinary tract infection (UTI) is a leading cause of hospital admissions and is diagnosed based on urinary symptoms and microbiological cultures. Due to lags in the availability of culture results of up to 72 h...

    Authors: Patrick Rockenschaub, Martin J. Gill, David McNulty, Orlagh Carroll, Nick Freemantle and Laura Shallcross
    Citation: Diagnostic and Prognostic Research 2020 4:15
  37. Stability of risk estimates from prediction models may be highly dependent on the sample size of the dataset available for model derivation. In this paper, we evaluate the stability of cardiovascular disease r...

    Authors: Alexander Pate, Richard Emsley, Matthew Sperrin, Glen P. Martin and Tjeerd van Staa
    Citation: Diagnostic and Prognostic Research 2020 4:14
  38. Heart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clini...

    Authors: Maria D. L. A. Vazquez-Montes, Thomas P. A. Debray, Kathryn S. Taylor, Benjamin Speich, Nicholas Jones, Gary S. Collins, F. D. R. Richard Hobbs, Emmanuella Magriplis, Hugo Maruri-Aguilar, Karel G. M. Moons, John Parissis, Rafael Perera, Nia Roberts, Clare J. Taylor, Nikolaos P. E. Kadoglou and Marialena Trivella
    Citation: Diagnostic and Prognostic Research 2020 4:13
  39. Early recognition and treatment of sepsis is crucial to prevent detrimental outcomes. General practitioners (GPs) are often the first healthcare providers to encounter seriously ill patients. The aim of this s...

    Authors: Feike J. Loots, Rogier Hopstaken, Kevin Jenniskens, Geert W. J. Frederix, Alma C. van de Pol, Ann Van den Bruel, Jan Jelrik Oosterheert, Arthur R. H. van Zanten, Marleen Smits and Theo J. M. Verheij
    Citation: Diagnostic and Prognostic Research 2020 4:12
  40. Clinical prediction models (CPMs) predict the risk of health outcomes for individual patients. The majority of existing CPMs only harness cross-sectional patient information. Incorporating repeated measurement...

    Authors: Lucy M. Bull, Mark Lunt, Glen P. Martin, Kimme Hyrich and Jamie C. Sergeant
    Citation: Diagnostic and Prognostic Research 2020 4:9
  41. Field triage of trauma patients is crucial to get the right patient to the right hospital within a particular time frame. Minimization of undertriage, overtriage, and interhospital transfer rates could substan...

    Authors: Rogier van der Sluijs, Audrey A. A. Fiddelers, Job F. Waalwijk, Johannes B. Reitsma, Miranda J. Dirx, Dennis den Hartog, Silvia M. A. A. Evers, J. Carel Goslings, W. Margreet Hoogeveen, Koen W. Lansink, Luke P. H. Leenen, Mark van Heijl and Martijn Poeze
    Citation: Diagnostic and Prognostic Research 2020 4:10
  42. There is much interest in the use of prognostic and diagnostic prediction models in all areas of clinical medicine. The use of machine learning to improve prognostic and diagnostic accuracy in this area has be...

    Authors: Anita L. Lynam, John M. Dennis, Katharine R. Owen, Richard A. Oram, Angus G. Jones, Beverley M. Shields and Lauric A. Ferrat
    Citation: Diagnostic and Prognostic Research 2020 4:6
  43. The goal is to investigate prognostic factors for change in memory test performance in healthy older adults and to report and discuss the different statistical procedures used for investigating this topic in t...

    Authors: Mandy Roheger, Ann-Kristin Folkerts, Fabian Krohm, Nicole Skoetz and Elke Kalbe
    Citation: Diagnostic and Prognostic Research 2020 4:7
  44. The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be suppo...

    Authors: David M. Kent, Jessica K. Paulus, Richard R. Sharp and Negin Hajizadeh
    Citation: Diagnostic and Prognostic Research 2020 4:11

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