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Utilizing both clinical factors and genetic markers may add complementary information and may lead to a more accurate prognostic.
Discovery of markers may add additional information, increasing the validity of clinical estimates and permitting early, aggressive, and effective sepsis therapy.
Clinical risk reclassification describes how a new marker or combination of markers may add to predictive models for clinical use, and the NRI can be used to more formally assess clinical utility.
However, when training and testing populations are unrelated, accuracy of marker-assisted selection is higher because there would be fewer relationships to be captured with GS and the nonsignificant markers may add to the noise, thus decreasing the accuracy of the GS.
The objectives of the study were: (1) to evaluate anthropometric measurements and a soluble form of the urokinase plasminogen activator receptor (suPAR) levels as potential risk factors for early mortality in an urban cohort of HIV-infected patients in Bissau and (2) to assess whether these markers may add information to CD4 cell count and aid in selection of patients most in need of ART.
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This study also found that patients experiencing a defined reduction in both bone markers suffered fewer events than in those with reduction in only one marker, raising the possibility that an index comprising more than one bone marker may add further predictive value.
These data suggest that although the spread towards high-risk currently achieved by SNP67 is not as large as that obtained from classical phenotypic markers, SNPs may add substantially to classic factors when used together.
Molecular markers of cancer progression may add significant discriminatory power to the current staging systems and may improve organ allocation schemes for patients with HCC.
Biological markers specifically reflecting pathological processes may add value in the assessment of inter-individual variations in the course of rheumatoid arthritis (RA).
The study design aimed to assess routine clinical measurements, and so we did not measure more novel markers of risk, such as brain natriuretic peptide (BNP) or markers of systemic inflammation; 39 40 these may add further prognostic information to the present model.
Indeed, it is generally considered that uninformative markers (i.e., monomorphic loci) may add variability and noise to the results and compromise the power of population genetic studies [ 38].
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