<scp>The Reporting</scp> and Methodological Recommendations for Observational Studies Estimating the Effects of Deprescribing Medications (REMROSE‐D) ISPE‐Endorsed Guidance

To ensure rigor and reproducibility in observational studies of the effects of deprescribing, the REMROSE-D guidance provides recommendations for important reporting and methods considerations, including time zero, precise definitions of deprescribing, addressing confounding by indication, and careful consideration of follow-up to avoid immortal time bias.

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Publication Details

Journal
Pharmacoepidemiology and Drug Safety
Published
2025-11-01
DOI
https://doi.org/10.1002/pds.70255
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The Reporting and Methodological Recommendations for Observational Studies Estimating the Effects of Deprescribing Medications (REMROSE‐D) ISPE‐Endorsed Guidance

Danijela Gnjidic, Joshua D. Niznik, Marie‐Laure Laroche, Caroline Sirois et al.
Pharmacoepidemiology and Drug Safety
Advanced Causal Inference Techniques
article

The Reporting and Methodological Recommendations for Observational Studies Estimating the Effects of Deprescribing Medications (REMROSE‐D) ISPE‐Endorsed Guidance

Danijela Gnjidic, Joshua D. Niznik, Marie‐Laure Laroche, Caroline Sirois, Mouna Sawan, Denis Talbot, Maurizio Sessa, Andrew R. Zullo, Jehath Syed, Antoinette B. Coe, Kaleen N. Hayes, Dimitri Bennett, Matthew Alcusky, Daniela C. Moga, Sri Harsha Chalasani, Frank Moriarty, Xiaojuan Li
article en

Abstract

To ensure rigor and reproducibility in observational studies of the effects of deprescribing, the REMROSE-D guidance provides recommendations for important reporting and methods considerations, including time zero, precise definitions of deprescribing, addressing confounding by indication, and careful consideration of follow-up to avoid immortal time bias.

Pharmacoepidemiology and Drug SafetyVol. 34(11)
University of North Carolina at Chapel Hill (US), JSS Academy of Higher Education and Research (IN), The University of Sydney (AU), UMass Memorial Health Care (US), Rhode Island Department of Health (US), Harvard University (US), University of Kentucky (US), Massachusetts College of Pharmacy and Health Sciences (US), University of Massachusetts Chan Medical School (US), Brown University (US), University of Michigan (US), MIT World Peace University (IN), Harvard Pilgrim Health Care (US), Takeda (United States) (US), Department of Health Services (NP), Université Laval (CA), Université de Limoges (FR), IT University of Copenhagen (DK)
International Society for Pharmacoepidemiology, National Institute on Aging
Openalex Percentile: Top 68%
Advanced Causal Inference Techniques
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