Literature DB >> 20515279

Recent advances in evaluating the prognostic value of a marker.

Jarrod E Dalton1, Michael W Kattan.   

Abstract

Predominately, the intended purpose of a new marker is to augment currently available knowledge about a disease process. That is, by combining the marker with existing knowledge, the researcher hopes to obtain a more accurate estimate of a patient's risk for a certain outcome. This estimate is a measure of absolute risk; for example, if the outcome is binary (such as whether or not metastatic disease is present within 5 years after tumor resection surgery), the absolute risk for a given patient would be the estimated probability of the outcome. Rather than evaluate the performance of absolute risk measures such as this, many marker studies unfortunately focus on measures of relative risk within a sample of patients. Examples of these relative measures include odds ratios for binary outcomes, hazard ratios for time-to-event outcomes, and differences in means for continuous outcomes.

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Year:  2010        PMID: 20515279     DOI: 10.3109/00365513.2010.493389

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest Suppl        ISSN: 0085-591X


  5 in total

1.  Evaluating the incremental value of new biomarkers with integrated discrimination improvement.

Authors:  Kathleen F Kerr; Robyn L McClelland; Elizabeth R Brown; Thomas Lumley
Journal:  Am J Epidemiol       Date:  2011-06-14       Impact factor: 4.897

Review 2.  Assessing risk in chronic kidney disease: a methodological review.

Authors:  Morgan E Grams; Josef Coresh
Journal:  Nat Rev Nephrol       Date:  2012-11-20       Impact factor: 28.314

Review 3.  Guide to functional mitral regurgitation: a contemporary review.

Authors:  Ramya Vajapey; Deborah Kwon
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

4.  Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis.

Authors:  Andrea Benedetti; Yin Wu; Brooke Levis; Machelle Wilchesky; Jill Boruff; John P A Ioannidis; Scott B Patten; Pim Cuijpers; Ian Shrier; Simon Gilbody; Zahinoor Ismail; Dean McMillan; Nicholas Mitchell; Roy C Ziegelstein; Brett D Thombs
Journal:  BMJ Open       Date:  2018-12-04       Impact factor: 2.692

5.  "Timed Up & Go": a screening tool for predicting 30-day morbidity in onco-geriatric surgical patients? A multicenter cohort study.

Authors:  Monique G Huisman; Barbara L van Leeuwen; Giampaolo Ugolini; Isacco Montroni; John Spiliotis; Cesare Stabilini; Nicola de'Liguori Carino; Eriberto Farinella; Geertruida H de Bock; Riccardo A Audisio
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

  5 in total

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