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Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study
INTRODUCTION: Time-varying exposure is an important issue that should be addressed in longitudinal observational studies using routinely collected data (RCD) for drug treatment effects. How well investigators designed, analysed and reported time-varying exposure, and to what extent the divergence th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255408/ https://www.ncbi.nlm.nih.gov/pubmed/35788067 http://dx.doi.org/10.1136/bmjopen-2022-062572 |
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author | Wang, Wen Liu, Mei Xu, Jiayue Li, Ling Tan, Jing Guo, Jeff Jianfei Lu, Kevin Li, Guowei Sun, Xin |
author_facet | Wang, Wen Liu, Mei Xu, Jiayue Li, Ling Tan, Jing Guo, Jeff Jianfei Lu, Kevin Li, Guowei Sun, Xin |
author_sort | Wang, Wen |
collection | PubMed |
description | INTRODUCTION: Time-varying exposure is an important issue that should be addressed in longitudinal observational studies using routinely collected data (RCD) for drug treatment effects. How well investigators designed, analysed and reported time-varying exposure, and to what extent the divergence that can be observed between different methods used for handling time-varying exposure in these studies remains uncertain. We will conduct a cross-sectional study to comprehensively address this question. METHODS AND ANALYSIS: We have developed a comprehensive search strategy to identify all studies exploring drug treatment effects including both effectiveness and safety that used RCD and were published in core journals between 2018 and 2020. We will collect information regarding general study characteristics, data source profile, methods for handling time-varying exposure, results and the interpretation of findings from each eligibility. Paired reviewers will screen and extract data, resolving disagreements through discussion. We will describe the characteristics of included studies, and summarise the method used for handling time-varying exposure in primary analysis and sensitivity analysis. We will also compare the divergence between different approaches for handling time-varying exposure using ratio of risk ratios. ETHICS AND DISSEMINATION: No ethical approval is required because the data we will use do not include individual patient data. Findings will be disseminated through peer-reviewed publications. |
format | Online Article Text |
id | pubmed-9255408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-92554082022-07-20 Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study Wang, Wen Liu, Mei Xu, Jiayue Li, Ling Tan, Jing Guo, Jeff Jianfei Lu, Kevin Li, Guowei Sun, Xin BMJ Open Epidemiology INTRODUCTION: Time-varying exposure is an important issue that should be addressed in longitudinal observational studies using routinely collected data (RCD) for drug treatment effects. How well investigators designed, analysed and reported time-varying exposure, and to what extent the divergence that can be observed between different methods used for handling time-varying exposure in these studies remains uncertain. We will conduct a cross-sectional study to comprehensively address this question. METHODS AND ANALYSIS: We have developed a comprehensive search strategy to identify all studies exploring drug treatment effects including both effectiveness and safety that used RCD and were published in core journals between 2018 and 2020. We will collect information regarding general study characteristics, data source profile, methods for handling time-varying exposure, results and the interpretation of findings from each eligibility. Paired reviewers will screen and extract data, resolving disagreements through discussion. We will describe the characteristics of included studies, and summarise the method used for handling time-varying exposure in primary analysis and sensitivity analysis. We will also compare the divergence between different approaches for handling time-varying exposure using ratio of risk ratios. ETHICS AND DISSEMINATION: No ethical approval is required because the data we will use do not include individual patient data. Findings will be disseminated through peer-reviewed publications. BMJ Publishing Group 2022-07-04 /pmc/articles/PMC9255408/ /pubmed/35788067 http://dx.doi.org/10.1136/bmjopen-2022-062572 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Wang, Wen Liu, Mei Xu, Jiayue Li, Ling Tan, Jing Guo, Jeff Jianfei Lu, Kevin Li, Guowei Sun, Xin Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title | Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title_full | Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title_fullStr | Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title_full_unstemmed | Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title_short | Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
title_sort | impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255408/ https://www.ncbi.nlm.nih.gov/pubmed/35788067 http://dx.doi.org/10.1136/bmjopen-2022-062572 |
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