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Diagnostic and Prognostic Research

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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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

  14. 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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  15. 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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  16. 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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  17. 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

  18. 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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  19. 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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  20. 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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