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Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide
Randomized controlled trials, though considered the gold standard in clinical research, are often not feasible in plastic surgery research. Instead, researchers rely heavily on observational studies, leading to potential issues with confounding and selection bias. Propensity scoring—a statistical te...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830836/ https://www.ncbi.nlm.nih.gov/pubmed/35169516 http://dx.doi.org/10.1097/GOX.0000000000004003 |
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author | Chu, Jacqueline J. Shamsunder, Meghana G. Yin, Shen Rubenstein, Robyn R. Slutsky, Hanna Fischer, John P. Nelson, Jonas A. |
author_facet | Chu, Jacqueline J. Shamsunder, Meghana G. Yin, Shen Rubenstein, Robyn R. Slutsky, Hanna Fischer, John P. Nelson, Jonas A. |
author_sort | Chu, Jacqueline J. |
collection | PubMed |
description | Randomized controlled trials, though considered the gold standard in clinical research, are often not feasible in plastic surgery research. Instead, researchers rely heavily on observational studies, leading to potential issues with confounding and selection bias. Propensity scoring—a statistical technique that estimates a patient’s likelihood of having received the exposure of interest—can improve the comparability of study groups by either guiding the selection of study participants or generating a covariate that can be adjusted for in multivariate analyses. In this study, we conducted a comprehensive review of research articles published in three major plastic surgery journals (Plastic and Reconstructive Surgery, Journal of Plastic, Reconstructive, & Aesthetic Surgery, and Annals of Plastic Surgery) to determine the utilization of propensity scoring methods in plastic surgery research from August 2018 to August 2020. We found that propensity scoring was used in only eight (0.8%) of 971 research articles, none of which fully reported all components of their propensity scoring methodology. We provide a brief overview of propensity score techniques and recommend guidelines for accurate reporting of propensity scoring methods for plastic surgery research. Improved understanding of propensity scoring may encourage plastic surgery researchers to incorporate the method in their own work and improve plastic surgeons’ ability to understand and analyze future research studies that utilize propensity score methods. |
format | Online Article Text |
id | pubmed-8830836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-88308362022-02-14 Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide Chu, Jacqueline J. Shamsunder, Meghana G. Yin, Shen Rubenstein, Robyn R. Slutsky, Hanna Fischer, John P. Nelson, Jonas A. Plast Reconstr Surg Glob Open Research Randomized controlled trials, though considered the gold standard in clinical research, are often not feasible in plastic surgery research. Instead, researchers rely heavily on observational studies, leading to potential issues with confounding and selection bias. Propensity scoring—a statistical technique that estimates a patient’s likelihood of having received the exposure of interest—can improve the comparability of study groups by either guiding the selection of study participants or generating a covariate that can be adjusted for in multivariate analyses. In this study, we conducted a comprehensive review of research articles published in three major plastic surgery journals (Plastic and Reconstructive Surgery, Journal of Plastic, Reconstructive, & Aesthetic Surgery, and Annals of Plastic Surgery) to determine the utilization of propensity scoring methods in plastic surgery research from August 2018 to August 2020. We found that propensity scoring was used in only eight (0.8%) of 971 research articles, none of which fully reported all components of their propensity scoring methodology. We provide a brief overview of propensity score techniques and recommend guidelines for accurate reporting of propensity scoring methods for plastic surgery research. Improved understanding of propensity scoring may encourage plastic surgery researchers to incorporate the method in their own work and improve plastic surgeons’ ability to understand and analyze future research studies that utilize propensity score methods. Lippincott Williams & Wilkins 2022-02-09 /pmc/articles/PMC8830836/ /pubmed/35169516 http://dx.doi.org/10.1097/GOX.0000000000004003 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Research Chu, Jacqueline J. Shamsunder, Meghana G. Yin, Shen Rubenstein, Robyn R. Slutsky, Hanna Fischer, John P. Nelson, Jonas A. Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title | Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title_full | Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title_fullStr | Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title_full_unstemmed | Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title_short | Propensity Scoring in Plastic Surgery Research: An Analysis and Best Practice Guide |
title_sort | propensity scoring in plastic surgery research: an analysis and best practice guide |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830836/ https://www.ncbi.nlm.nih.gov/pubmed/35169516 http://dx.doi.org/10.1097/GOX.0000000000004003 |
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