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Are U‐shaped relationships between risk factors and outcomes artifactual?
BACKGROUND: The objective of this study was to evaluate whether the observed nadir in a U‐ or J‐shaped relationship between a particular risk factor and a future health outcome is a function of the distribution of the risk factor in the sample being analyzed. METHODS: Data from the ORIGIN trial were...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Publishing Asia Pty Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789392/ https://www.ncbi.nlm.nih.gov/pubmed/36479937 http://dx.doi.org/10.1111/1753-0407.13335 |
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author | Shah, Reema Thabane, Lehana Gerstein, Hertzel C. |
author_facet | Shah, Reema Thabane, Lehana Gerstein, Hertzel C. |
author_sort | Shah, Reema |
collection | PubMed |
description | BACKGROUND: The objective of this study was to evaluate whether the observed nadir in a U‐ or J‐shaped relationship between a particular risk factor and a future health outcome is a function of the distribution of the risk factor in the sample being analyzed. METHODS: Data from the ORIGIN trial were used to assess the relationship between three risk factors (weight, systolic blood pressure, and serum insulin) and the hazard of a major cardiovascular event comprising a nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Three spline curves were generated for each risk factor. The first was based on all available data, the second for a subgroup with a higher mean risk factor level, and the third for a subgroup with a lower mean risk factor level. Nadir levels of the risk factor (i.e., risk factor levels predicting the lowest hazard) were then identified for each spline curve. RESULTS: When compared to the nadir values based on all available data, nadir values for all three risk factors were higher for the subgroups with higher mean levels and lower for those with lower mean levels. CONCLUSIONS: The distribution of a risk factor in the population is an important determinant of its nadir value. Populations with high or low values may have high and low nadirs, respectively. Identification of a nadir for a modifiable risk factor from epidemiologic relationships may therefore arise from this distribution bias and is therefore unrelated to therapeutic targets. |
format | Online Article Text |
id | pubmed-9789392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wiley Publishing Asia Pty Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-97893922022-12-28 Are U‐shaped relationships between risk factors and outcomes artifactual? Shah, Reema Thabane, Lehana Gerstein, Hertzel C. J Diabetes Original Articles BACKGROUND: The objective of this study was to evaluate whether the observed nadir in a U‐ or J‐shaped relationship between a particular risk factor and a future health outcome is a function of the distribution of the risk factor in the sample being analyzed. METHODS: Data from the ORIGIN trial were used to assess the relationship between three risk factors (weight, systolic blood pressure, and serum insulin) and the hazard of a major cardiovascular event comprising a nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Three spline curves were generated for each risk factor. The first was based on all available data, the second for a subgroup with a higher mean risk factor level, and the third for a subgroup with a lower mean risk factor level. Nadir levels of the risk factor (i.e., risk factor levels predicting the lowest hazard) were then identified for each spline curve. RESULTS: When compared to the nadir values based on all available data, nadir values for all three risk factors were higher for the subgroups with higher mean levels and lower for those with lower mean levels. CONCLUSIONS: The distribution of a risk factor in the population is an important determinant of its nadir value. Populations with high or low values may have high and low nadirs, respectively. Identification of a nadir for a modifiable risk factor from epidemiologic relationships may therefore arise from this distribution bias and is therefore unrelated to therapeutic targets. Wiley Publishing Asia Pty Ltd 2022-12-08 /pmc/articles/PMC9789392/ /pubmed/36479937 http://dx.doi.org/10.1111/1753-0407.13335 Text en © 2022 The Authors. Journal of Diabetes published by Ruijin Hospital, Shanghai JiaoTong University School of Medicine and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Shah, Reema Thabane, Lehana Gerstein, Hertzel C. Are U‐shaped relationships between risk factors and outcomes artifactual? |
title | Are U‐shaped relationships between risk factors and outcomes artifactual? |
title_full | Are U‐shaped relationships between risk factors and outcomes artifactual? |
title_fullStr | Are U‐shaped relationships between risk factors and outcomes artifactual? |
title_full_unstemmed | Are U‐shaped relationships between risk factors and outcomes artifactual? |
title_short | Are U‐shaped relationships between risk factors and outcomes artifactual? |
title_sort | are u‐shaped relationships between risk factors and outcomes artifactual? |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789392/ https://www.ncbi.nlm.nih.gov/pubmed/36479937 http://dx.doi.org/10.1111/1753-0407.13335 |
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