Literature DB >> 33247797

When will individuals meet their personalized probabilities? A philosophical note on risk prediction.

Olaf M Dekkers1, Jesse M Mulder2.   

Abstract

Risk prediction is one of the central goals of medicine. However, ultimate prediction-perfectly predicting whether individuals will actually get a disease-is still out of reach for virtually all conditions. One crucial assumption of ultimate personalized prediction is that individual risks in the relevant sense exist. In the present paper we argue that perfect prediction at the individual level will fail-and we will do so by providing pragmatic, epistemic, conceptual, and ontological arguments.

Keywords:  Individual risk; Ontology; Philosophy; Prediction; Reference class

Mesh:

Year:  2020        PMID: 33247797     DOI: 10.1007/s10654-020-00700-w

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  11 in total

1.  Probability at the bedside: the knowing of chances or the chances of knowing?

Authors:  S N Goodman
Journal:  Ann Intern Med       Date:  1999-04-06       Impact factor: 25.391

Review 2.  Predicting Polygenic Obesity Using Genetic Information.

Authors:  Ruth J F Loos; A Cecile J W Janssens
Journal:  Cell Metab       Date:  2017-03-07       Impact factor: 27.287

Review 3.  Promises, promises, and precision medicine.

Authors:  Michael J Joyner; Nigel Paneth
Journal:  J Clin Invest       Date:  2019-01-28       Impact factor: 14.808

4.  Epidemiology, epigenetics and the 'Gloomy Prospect': embracing randomness in population health research and practice.

Authors:  George Davey Smith
Journal:  Int J Epidemiol       Date:  2011-06       Impact factor: 7.196

5.  Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients With Stable Coronary Heart Disease.

Authors:  Peter Ganz; Bettina Heidecker; Kristian Hveem; Christian Jonasson; Shintaro Kato; Mark R Segal; David G Sterling; Stephen A Williams
Journal:  JAMA       Date:  2016-06-21       Impact factor: 56.272

6.  Epidemiology in wonderland: Big Data and precision medicine.

Authors:  Rodolfo Saracci
Journal:  Eur J Epidemiol       Date:  2018-04-05       Impact factor: 8.082

7.  Using group data to treat individuals: understanding heterogeneous treatment effects in the age of precision medicine and patient-centred evidence.

Authors:  Issa J Dahabreh; Rodney Hayward; David M Kent
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

8.  The search for genetic risk factors of type 2 diabetes mellitus.

Authors:  Kyong Soo Park
Journal:  Diabetes Metab J       Date:  2011-02-28       Impact factor: 5.376

9.  Directed acyclic graphs and causal thinking in clinical risk prediction modeling.

Authors:  Marco Piccininni; Stefan Konigorski; Jessica L Rohmann; Tobias Kurth
Journal:  BMC Med Res Methodol       Date:  2020-07-02       Impact factor: 4.615

10.  Marginal role for 53 common genetic variants in cardiovascular disease prediction.

Authors:  Richard W Morris; Jackie A Cooper; Tina Shah; Andrew Wong; Fotios Drenos; Jorgen Engmann; Stela McLachlan; Barbara Jefferis; Caroline Dale; Rebecca Hardy; Diana Kuh; Yoav Ben-Shlomo; S Goya Wannamethee; Peter H Whincup; Juan-Pablo Casas; Mika Kivimaki; Meena Kumari; Philippa J Talmud; Jacqueline F Price; Frank Dudbridge; Aroon D Hingorani; Steve E Humphries
Journal:  Heart       Date:  2016-06-30       Impact factor: 5.994

View more
  3 in total

1.  Turtles all the way down: do biological mechanisms for epidemiological observations always matter?

Authors:  David T P Buis; Jos van Roosmalen
Journal:  Eur J Epidemiol       Date:  2021-10-07       Impact factor: 8.082

Review 2.  Prediction or causality? A scoping review of their conflation within current observational research.

Authors:  Chava L Ramspek; Ewout W Steyerberg; Richard D Riley; Frits R Rosendaal; Olaf M Dekkers; Friedo W Dekker; Merel van Diepen
Journal:  Eur J Epidemiol       Date:  2021-08-15       Impact factor: 8.082

3.  Epidemiology is about disease in populations.

Authors:  Anders Ahlbom
Journal:  Eur J Epidemiol       Date:  2020-11-28       Impact factor: 8.082

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.