Literature DB >> 21070520

Methods for evaluating novel biomarkers - a new paradigm.

N R Cook1.   

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Year:  2010        PMID： 21070520      PMCID： PMC3057673          DOI： 10.1111/j.1742-1241.2010.02469.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN： 1368-5031            Impact factor:   2.503


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  16 in total

1.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III).

Authors: 
Journal:  JAMA       Date:  2001-05-16       Impact factor: 56.272

2.  Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929).

Authors:  M S Pepe; Z Feng; J W Gu
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

3.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

4.  Biomarkers for prediction of cardiovascular events.

Authors:  Nancy R Cook
Journal:  JAMA       Date:  2009-11-18       Impact factor: 56.272

5.  Novel and conventional biomarkers for prediction of incident cardiovascular events in the community.

Authors:  Olle Melander; Christopher Newton-Cheh; Peter Almgren; Bo Hedblad; Göran Berglund; Gunnar Engström; Margaretha Persson; J Gustav Smith; Martin Magnusson; Anders Christensson; Joachim Struck; Nils G Morgenthaler; Andreas Bergmann; Michael J Pencina; Thomas J Wang
Journal:  JAMA       Date:  2009-07-01       Impact factor: 56.272

6.  Reclassification calculations for persons with incomplete follow-up.

Authors:  Ewout W Steyerberg; Michael J Pencina
Journal:  Ann Intern Med       Date:  2010-02-02       Impact factor: 25.391

7.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

8.  C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men.

Authors:  Paul M Ridker; Nina P Paynter; Nader Rifai; J Michael Gaziano; Nancy R Cook
Journal:  Circulation       Date:  2008-11-09       Impact factor: 29.690

9.  Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures.

Authors:  Nancy R Cook; Paul M Ridker
Journal:  Ann Intern Med       Date:  2009-06-02       Impact factor: 25.391

10.  C-reactive protein and reclassification of cardiovascular risk in the Framingham Heart Study.

Authors:  Peter W F Wilson; Michael Pencina; Paul Jacques; Jacob Selhub; Ralph D'Agostino; Christopher J O'Donnell
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2008-11-09
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  16 in total

1.  Evaluation of the use of the fourth version FloTrac system in cardiac output measurement before and after cardiopulmonary bypass.

Authors:  Sheng-Yi Lin; An-Hsun Chou; Yung-Fong Tsai; Su-Wei Chang; Min-Wen Yang; Pei-Chi Ting; Chun-Yu Chen
Journal:  J Clin Monit Comput       Date:  2017-10-16       Impact factor: 2.502

Review 2.  Current applications of capillary electrophoresis-mass spectrometry for the analysis of biologically important analytes in urine (2017 to mid-2021): A review.

Authors:  Hrušková Helena; Voráčová Ivona; Řemínek Roman; Foret František
Journal:  J Sep Sci       Date:  2021-10-07       Impact factor: 3.614

3.  Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT).

Authors:  Douglas G Manuel; Meltem Tuna; Carol Bennett; Deirdre Hennessy; Laura Rosella; Claudia Sanmartin; Jack V Tu; Richard Perez; Stacey Fisher; Monica Taljaard
Journal:  CMAJ       Date:  2018-07-23       Impact factor: 8.262

4.  Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus.

Authors:  B Schöttker; H Müller; D Rothenbacher; H Brenner
Journal:  Diabetologia       Date:  2012-09-19       Impact factor: 10.122

5.  Waist circumference does not improve established cardiovascular disease risk prediction modeling.

Authors:  Matthew W Nelms; Andrew G Day; Xuemei Sui; Steven N Blair; Robert Ross
Journal:  PLoS One       Date:  2020-10-02       Impact factor: 3.240

6.  Hospital mortality prognostication in sepsis using the new biomarkers suPAR and proADM in a single determination on ICU admission.

Authors:  B Suberviola; A Castellanos-Ortega; A Ruiz Ruiz; M Lopez-Hoyos; M Santibañez
Journal:  Intensive Care Med       Date:  2013-08-16       Impact factor: 17.440

7.  Relationship between inflammatory cytokines and uric acid levels with adverse cardiovascular outcomes in patients with stable coronary heart disease.

Authors:  Dietrich Rothenbacher; Andrea Kleiner; Wolfgang Koenig; Paola Primatesta; Lutz P Breitling; Hermann Brenner
Journal:  PLoS One       Date:  2012-09-21       Impact factor: 3.240

8.  Risk assessment in sepsis: a new prognostication rule by APACHE II score and serum soluble urokinase plasminogen activator receptor.

Authors:  Evangelos J Giamarellos-Bourboulis; Anna Norrby-Teglund; Vassiliki Mylona; Athina Savva; Iraklis Tsangaris; Ioanna Dimopoulou; Maria Mouktaroudi; Maria Raftogiannis; Marianna Georgitsi; Anna Linnér; George Adamis; Anastasia Antonopoulou; Efterpi Apostolidou; Michael Chrisofos; Chrisostomos Katsenos; Ioannis Koutelidakis; Katerina Kotzampassi; George Koratzanis; Marina Koupetori; Ioannis Kritselis; Korina Lymberopoulou; Konstantinos Mandragos; Androniki Marioli; Jonas Sundén-Cullberg; Anna Mega; Athanassios Prekates; Christina Routsi; Charalambos Gogos; Carl-Johan Treutiger; Apostolos Armaganidis; George Dimopoulos
Journal:  Crit Care       Date:  2012-08-08       Impact factor: 9.097

9.  Clinical utility of creatinine- and cystatin C-based definition of renal function for risk prediction of primary cardiovascular events in patients with diabetes.

Authors:  Ben Schöttker; Christian Herder; Heiko Müller; Hermann Brenner; Dietrich Rothenbacher
Journal:  Diabetes Care       Date:  2012-02-14       Impact factor: 19.112

10.  Plasma COOH-terminal proendothelin-1: a marker of fatal cardiovascular events, all-cause mortality, and new-onset albuminuria in type 2 diabetes? (ZODIAC-29).

Authors:  Iefke Drion; Nanne Kleefstra; Gijs W D Landman; Alaa Alkhalaf; Joachim Struck; Klaas H Groenier; Stephan J L Bakker; Henk J G Bilo
Journal:  Diabetes Care       Date:  2012-07-26       Impact factor: 19.112
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