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MYC_V1-Related Genes Affect Gastric Cancer Proliferation by Regulating Energy Metabolism and Analysis of Therapeutic Targets. [PDF]
Int J Mol SciXu D, Peng L, He J, Wang X, Xia J.
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Research Progress in the Prognostic Assessment of Sepsis
Advances in Clinical Medicineopenaire +1 more source
Methods for Evaluating Models, Tests And Biomarkers (MEMTAB): Abstracts from the 7<sup>th</sup> International Conference, MEMTAB 2025. [PDF]
Diagn Progn Reseuropepmc +1 more source
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Prognostic Factor Research in Oncology
Journal of Clinical Epidemiology, 1999The prognosis of solid tumors is predominantly influenced by the anatomic extent before and after initial treatment. It is defined by the TNM/pTNM system and the residual tumor (R) classification as internationally agreed on and published by the International Union Against Cancer (UICC).
Paul Hermanek
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On Prognostic Research in Adult Neurologic Disorders
Journal of Speech, Language, and Hearing Research, 1990This note suggests some changes in variable selection and operationalization for research on prognosis in adult neurologic communicative disorders. The issues raised are relevant to both broad prognostic questions concerning extent of recovery, and focused questions regarding candidacy and treatment efficacy.
C A, Tompkins, S T, Jackson, R, Schulz
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2019
A prognostic factor is any variable associated with a subsequent outcome such as death or disability among people with a disease or health condition. Prognostic factors range from simple measures, such as age, gender, temperature, or pulse rate, to test results such as X-rays or psychological scores, whilst novel biomarkers and genetic information are ...
Richard D Riley +4 more
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A prognostic factor is any variable associated with a subsequent outcome such as death or disability among people with a disease or health condition. Prognostic factors range from simple measures, such as age, gender, temperature, or pulse rate, to test results such as X-rays or psychological scores, whilst novel biomarkers and genetic information are ...
Richard D Riley +4 more
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Diagnostic and Prognostic Research
2022Abstract This chapter describes methods of drawing together multiple strands of information about patients, often in the form of multivariable prediction models (MPMs). It references two landmark papers that explain the process of developing MPMs and then uses the Framingham Heart Study as an example. It gives examples of web-based tools
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2019
Prognostic models combine multiple prognostic factors to estimate the risk of future outcomes in individuals with a particular disease or health condition. A useful model provides accurate predictions to support decision making by individuals and caregivers.
Richard D Riley +6 more
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Prognostic models combine multiple prognostic factors to estimate the risk of future outcomes in individuals with a particular disease or health condition. A useful model provides accurate predictions to support decision making by individuals and caregivers.
Richard D Riley +6 more
openaire +1 more source