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  1. Content type: Protocol

    Population-based risk prediction tools exist for individual chronic diseases. From a population health perspective, studying chronic diseases together provides a comprehensive view of the burden of disease in ...

    Authors: Ryan Ng, Rinku Sutradhar, Walter P. Wodchis and Laura C. Rosella

    Citation: Diagnostic and Prognostic Research 2018 2:19

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  2. Content type: Methodology

    Building prognostic models of clinical outcomes is an increasingly important research task and will remain a vital area in genomic medicine. Prognostic models of clinical outcomes are usually built and validat...

    Authors: Lira Pi and Susan Halabi

    Citation: Diagnostic and Prognostic Research 2018 2:21

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  3. Content type: Protocol

    In recent years, there has been increasing focus on the earlier detection of deterioration in the clinical condition of hospital patients with the aim of instigating earlier treatment to reverse this deteriora...

    Authors: Matthew J. Reed, Megan McGrath, Polly L. Black, Steff Lewis, Christopher McCann, Stewart Whiting, Rachel O’Brien, Alison Grant, Beth Harrison, Laura Skyrme and Miranda Odam

    Citation: Diagnostic and Prognostic Research 2018 2:18

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  4. Content type: Protocol

    Chest X-ray has been the standard imaging method for patients suspected of non-traumatic pulmonary disease at the emergency department (ED) for years. Recently, ultra-low-dose chest computed tomography (ULD ch...

    Authors: Inge A. H. van den Berk, Maadrika M. N. P. Kanglie, Tjitske S. R. van Engelen, Shandra Bipat, Marcel G. W. Dijkgraaf, Patrick M. M. Bossuyt, Wouter de Monyé, Jan M. Prins and Jaap Stoker

    Citation: Diagnostic and Prognostic Research 2018 2:20

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  5. Content type: Research

    Influenza is an acute viral infection of the respiratory tract. A rapid confirmatory diagnosis of influenza is important, since it is highly transmissible and outbreaks of influenza within the hospital setting...

    Authors: A. J. Allen, R. A. O’Leary, S. Davis, S. Graziadio, W. S. Jones, A. J. Simpson, D. A. Price, L. Vale and M. Power

    Citation: Diagnostic and Prognostic Research 2018 2:15

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  6. Content type: Methodology

    The risk reclassification table assesses clinical performance of a biomarker in terms of movements across relevant risk categories. The Reclassification- Calibration (RC) statistic has been developed for binar...

    Authors: Olga V. Demler, Nina P. Paynter and Nancy R. Cook

    Citation: Diagnostic and Prognostic Research 2018 2:16

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  7. Content type: Research

    Competing risks occur when populations may experience outcomes that either preclude or alter the probability of experiencing the main study outcome(s). Many standard survival analysis methods do not account fo...

    Authors: Benjamin G. Feakins, Emily C. McFadden, Andrew J. Farmer and Richard J. Stevens

    Citation: Diagnostic and Prognostic Research 2018 2:13

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  8. Content type: Protocol

    Diagnosing pulmonary embolism in suspected patients is notoriously difficult as signs and symptoms are non-specific. Different diagnostic strategies have been developed, usually combining clinical probability ...

    Authors: G.-J. Geersing, N. Kraaijpoel, H. R. Büller, S. van Doorn, N. van Es, G. Le Gal, M. V. Huisman, C. Kearon, J. A. Kline, K. G. M. Moons, M. Miniati, M. Righini, P.-M. Roy, S. J. van der Wall, P. S. Wells and F. A. Klok

    Citation: Diagnostic and Prognostic Research 2018 2:10

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  9. Content type: Methodology

    An important aim of clinical prediction models is to positively impact clinical decision making and subsequent patient outcomes. The impact on clinical decision making and patient outcome can be quantified in ...

    Authors: Teus H. Kappen, Wilton A. van Klei, Leo van Wolfswinkel, Cor J. Kalkman, Yvonne Vergouwe and Karel G. M. Moons

    Citation: Diagnostic and Prognostic Research 2018 2:11

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  10. Content type: Protocol

    Head injury is an extremely common clinical presentation to hospital emergency departments (EDs). Ninety-five percent of patients present with an initial Glasgow Coma Scale (GCS) score of 13–15, indicating a n...

    Authors: Carl Marincowitz, Fiona E. Lecky, William Townend, Victoria Allgar, Andrea Fabbri and Trevor A. Sheldon

    Citation: Diagnostic and Prognostic Research 2018 2:6

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  11. Content type: Methodology

    In literature, not much emphasis has been placed on methods for analyzing repeatedly measured independent variables, even less so for the use in prediction modeling specifically. However, repeated measurements...

    Authors: Marieke Welten, Marlou L. A. de Kroon, Carry M. Renders, Ewout W. Steyerberg, Hein Raat, Jos W. R. Twisk and Martijn W. Heymans

    Citation: Diagnostic and Prognostic Research 2018 2:5

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  12. Content type: Review

    Prognostic models incorporating survival analysis predict the risk (i.e., probability) of experiencing a future event over a specific time period. In 2002, Royston and Parmar described a type of flexible param...

    Authors: Ryan Ng, Kathy Kornas, Rinku Sutradhar, Walter P. Wodchis and Laura C. Rosella

    Citation: Diagnostic and Prognostic Research 2018 2:4

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  13. Content type: Research

    Clinical prediction rules (CPRs) should be externally validated by independent researchers. Although there are many cardiovascular CPRs, most have not been externally validated. It is not known why some CPRs a...

    Authors: Jong-Wook Ban, Richard Stevens and Rafael Perera

    Citation: Diagnostic and Prognostic Research 2018 2:3

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  14. Content type: Methodology

    Presenting results of diagnostic test accuracy research so that it is accessible to users is challenging. Commonly used accuracy measures (e.g. sensitivity and specificity) are poorly understood by health prof...

    Authors: Penny Whiting and Clare Davenport

    Citation: Diagnostic and Prognostic Research 2018 2:2

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  15. Content type: Protocol

    Unexpected weight loss is a symptom of serious disease in primary care, for example between 1 in 200 and 1 in 30 patients with unexpected weight loss go on to develop cancer. However, it remains unclear how an...

    Authors: B. D. Nicholson, P. Aveyard, F. D. R. Hobbs, M. Smith, A. Fuller, R. Perera, W. Hamilton, S. Stevens and C. R. Bankhead

    Citation: Diagnostic and Prognostic Research 2018 2:1

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  16. Content type: Research

    Surrogate outcomes are often utilized when disease outcomes are difficult to directly measure. When a biological threshold effect exists, surrogate outcomes may only represent disease in specific subpopulation...

    Authors: Derek K. Smith, Loren E. Smith, Frederic T. Billings IV and Jeffrey D. Blume

    Citation: Diagnostic and Prognostic Research 2017 1:21

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  17. Content type: Review

    Clinical predictive models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision-making and individualize care. The Tufts Predictive Analytics and Comparative Effectiv...

    Authors: Benjamin S. Wessler, Jessica Paulus, Christine M. Lundquist, Muhammad Ajlan, Zuhair Natto, William A. Janes, Nitin Jethmalani, Gowri Raman, Jennifer S. Lutz and David M. Kent

    Citation: Diagnostic and Prognostic Research 2017 1:20

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  18. Content type: Research

    A variety of statistics have been proposed as tools to help investigators assess the value of diagnostic tests or prediction models. The Brier score has been recommended on the grounds that it is a proper scor...

    Authors: Melissa Assel, Daniel D. Sjoberg and Andrew J. Vickers

    Citation: Diagnostic and Prognostic Research 2017 1:19

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  19. Content type: Research

    Research on prognostic prediction models frequently uses data from routine healthcare. However, potential misclassification of predictors when using such data may strongly affect the studied associations. Ther...

    Authors: S. van Doorn, T. B. Brakenhoff, K. G. M. Moons, F. H. Rutten, A. W. Hoes, R. H. H. Groenwold and G. J. Geersing

    Citation: Diagnostic and Prognostic Research 2017 1:18

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  20. Content type: Methodology

    Disease prevalence is rarely explicitly considered in the early stages of the development of novel prognostic tests. Rather, researchers use the area under the receiver operating characteristic (AUROC) as the ...

    Authors: Grégoire Thomas, Louise C. Kenny, Philip N. Baker and Robin Tuytten

    Citation: Diagnostic and Prognostic Research 2017 1:17

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  21. Content type: Protocol

    Pre-eclampsia, a condition with raised blood pressure and proteinuria is associated with an increased risk of maternal and offspring mortality and morbidity. Early identification of mothers at risk is needed t...

    Authors: John Allotey, Kym I. E. Snell, Claire Chan, Richard Hooper, Julie Dodds, Ewelina Rogozinska, Khalid S. Khan, Lucilla Poston, Louise Kenny, Jenny Myers, Basky Thilaganathan, Lucy Chappell, Ben W. Mol, Peter Von Dadelszen, Asif Ahmed, Marcus Green…

    Citation: Diagnostic and Prognostic Research 2017 1:16

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  22. Content type: Review

    Ignoring treatments in prognostic model development or validation can affect the accuracy and transportability of models. We aim to quantify the extent to which the effects of treatment have been addressed in ...

    Authors: Romin Pajouheshnia, Johanna A. A. G. Damen, Rolf H. H. Groenwold, Karel G. M. Moons and Linda M. Peelen

    Citation: Diagnostic and Prognostic Research 2017 1:15

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  23. Content type: Protocol

    Improved dementia identification is a global health priority, and general practitioners (GPs) are often the first point of contact for people with concerns about their cognition. However, GPs often express unc...

    Authors: Harriet A. Hunt, Sanne Van Kampen, Yemisi Takwoingi, David J. Llewellyn, Mark Pearson and Christopher J. Hyde

    Citation: Diagnostic and Prognostic Research 2017 1:14

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  24. Content type: Review

    Diagnostic clinical prediction rules (CPRs) are worthwhile if they improve patient outcomes or provide benefits such as reduced resource use, without harming patients. We conducted a systematic review to asses...

    Authors: Sharon L. Sanders, John Rathbone, Katy J. L. Bell, Paul P. Glasziou and Jenny A. Doust

    Citation: Diagnostic and Prognostic Research 2017 1:13

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  25. Content type: Research

    Stability in baseline risk and estimated predictor effects both geographically and temporally is a desirable property of clinical prediction models. However, this issue has received little attention in the met...

    Authors: Peter C. Austin, David van Klaveren, Yvonne Vergouwe, Daan Nieboer, Douglas S. Lee and Ewout W. Steyerberg

    Citation: Diagnostic and Prognostic Research 2017 1:12

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  26. Content type: Methodology

    The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression ...

    Authors: Maarten van Smeden, Joris AH de Groot, Stavros Nikolakopoulos, Loes CM Bertens, Karel GM Moons and Johannes B. Reitsma

    Citation: Diagnostic and Prognostic Research 2017 1:8

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  27. Content type: Erratum

    Authors: Gowri Gopalakrishna, Miranda Langendam, Rob Scholten, Patrick Bossuyt, Mariska Leeflang, Anna Noel-Storr, James Thomas, Iain Marshall, Byron Wallace, Penny Whiting, Clare Davenport, Mariska Leeflang, Gowri GopalaKrishna, Isabel de Salis, Sue Mallett, Robert Wolff…

    Citation: Diagnostic and Prognostic Research 2017 1:11

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    The original article was published in Diagnostic and Prognostic Research 2017 1:7

  28. Content type: Protocol

    The purpose of the predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC) study is exploratory and hypothesis generating. We want to identify biochemical quantities which—condi...

    Authors: Per Winkel, Janus Christian Jakobsen, Jørgen Hilden, Theis Lange, Gorm Boje Jensen, Erik Kjøller, Ahmad Sajadieh, Jens Kastrup, Hans Jørn Kolmos, Anders Larsson, Johan Ärnlöv and Christian Gluud

    Citation: Diagnostic and Prognostic Research 2017 1:10

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  29. Content type: Review

    Prognosis research refers to the investigation of association between a baseline health state, patient characteristic and future outcomes. The findings of several prognostic studies can be summarized in system...

    Authors: Davide Matino, Chatree Chai-Adisaksopha and Alfonso Iorio

    Citation: Diagnostic and Prognostic Research 2017 1:9

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  30. Content type: Protocol

    Early-onset pre-eclampsia with raised blood pressure and protein in the urine before 34 weeks’ gestation is one of the leading causes of maternal deaths in the UK. The benefits to the child from prolonging the...

    Authors: John Allotey, Nadine Marlin, Ben W. Mol, Peter Von Dadelszen, Wessel Ganzevoort, Joost Akkermans, Asif Ahmed, Jane Daniels, Jon Deeks, Khaled Ismail, Ann Marie Barnard, Julie Dodds, Sally Kerry, Carl Moons, Khalid S. Khan, Richard D. Riley…

    Citation: Diagnostic and Prognostic Research 2017 1:6

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  31. Content type: Meeting abstracts

    Authors: Gowri Gopalakrishna, Miranda Langendam, Rob Scholten, Patrick Bossuyt, Mariska Leeflang, Anna Noel-Storr, James Thomas, Iain Marshall, Byron Wallace, Penny Whiting, Clare Davenport, Mariska Leeflang, Gowri GopalaKrishna, Isabel de Salis, Sue Mallett, Robert Wolff…

    Citation: Diagnostic and Prognostic Research 2017 1(Suppl 1):7

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    This article is part of a Supplement: Volume 1 Supplement 1

    The Erratum to this article has been published in Diagnostic and Prognostic Research 2017 1:11

  32. Content type: Methodology

    Risk models often perform poorly at external validation in terms of discrimination or calibration. Updating methods are needed to improve performance of multinomial logistic regression models for risk prediction.

    Authors: Ben Van Calster, Kirsten Van Hoorde, Yvonne Vergouwe, Shabnam Bobdiwala, George Condous, Emma Kirk, Tom Bourne and Ewout W. Steyerberg

    Citation: Diagnostic and Prognostic Research 2017 1:2

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  33. Content type: Research

    Prognosis research studies (e.g. those deriving prognostic models or examining potential predictors of outcome) often collect information on time-varying predictors after their intended moment of use, sometimes u...

    Authors: Rebecca Whittle, Kara-Louise Royle, Kelvin P. Jordan, Richard D. Riley, Christian D. Mallen and George Peat

    Citation: Diagnostic and Prognostic Research 2017 1:1

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  34. Content type: Review

    Numerous prediction models for gestational diabetes mellitus (GDM) have been developed, but their methodological quality is unknown. The objective is to systematically review all studies describing first-trime...

    Authors: Marije Lamain – de Ruiter, Anneke Kwee, Christiana A. Naaktgeboren, Arie Franx, Karel G. M. Moons and Maria P. H. Koster

    Citation: Diagnostic and Prognostic Research 2017 1:3

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2017 Journal Metrics

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    64 days to first decision for all manuscripts
    155 days from submission to acceptance
    47 days from acceptance to publication

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