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Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data

BACKGROUND: Evidence-based medicine (EBM) has developed as the dominant paradigm of assessment of evidence that is used in clinical practice. Since its development, EBM has been applied to integrate the best available research into diagnosis and treatment with the purpose of improving patient care....

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Autores principales: Hung, Bui The, Long, Nguyen Phuoc, Hung, Le Phi, Luan, Nguyen Thien, Anh, Nguyen Hoang, Nghi, Tran Diem, Van Hieu, Mai, Trang, Nguyen Thi Huyen, Rafidinarivo, Herizo Fabien, Anh, Nguyen Ky, Hawkes, David, Huy, Nguyen Tien, Hirayama, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388379/
https://www.ncbi.nlm.nih.gov/pubmed/25849641
http://dx.doi.org/10.1371/journal.pone.0121054
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author Hung, Bui The
Long, Nguyen Phuoc
Hung, Le Phi
Luan, Nguyen Thien
Anh, Nguyen Hoang
Nghi, Tran Diem
Van Hieu, Mai
Trang, Nguyen Thi Huyen
Rafidinarivo, Herizo Fabien
Anh, Nguyen Ky
Hawkes, David
Huy, Nguyen Tien
Hirayama, Kenji
author_facet Hung, Bui The
Long, Nguyen Phuoc
Hung, Le Phi
Luan, Nguyen Thien
Anh, Nguyen Hoang
Nghi, Tran Diem
Van Hieu, Mai
Trang, Nguyen Thi Huyen
Rafidinarivo, Herizo Fabien
Anh, Nguyen Ky
Hawkes, David
Huy, Nguyen Tien
Hirayama, Kenji
author_sort Hung, Bui The
collection PubMed
description BACKGROUND: Evidence-based medicine (EBM) has developed as the dominant paradigm of assessment of evidence that is used in clinical practice. Since its development, EBM has been applied to integrate the best available research into diagnosis and treatment with the purpose of improving patient care. In the EBM era, a hierarchy of evidence has been proposed, including various types of research methods, such as meta-analysis (MA), systematic review (SRV), randomized controlled trial (RCT), case report (CR), practice guideline (PGL), and so on. Although there are numerous studies examining the impact and importance of specific cases of EBM in clinical practice, there is a lack of research quantitatively measuring publication trends in the growth and development of EBM. Therefore, a bibliometric analysis was constructed to determine the scientific productivity of EBM research over decades. METHODS: NCBI PubMed database was used to search, retrieve and classify publications according to research method and year of publication. Joinpoint regression analysis was undertaken to analyze trends in research productivity and the prevalence of individual research methods. FINDINGS: Analysis indicates that MA and SRV, which are classified as the highest ranking of evidence in the EBM, accounted for a relatively small but auspicious number of publications. For most research methods, the annual percent change (APC) indicates a consistent increase in publication frequency. MA, SRV and RCT show the highest rate of publication growth in the past twenty years. Only controlled clinical trials (CCT) shows a non-significant reduction in publications over the past ten years. CONCLUSIONS: Higher quality research methods, such as MA, SRV and RCT, are showing continuous publication growth, which suggests an acknowledgement of the value of these methods. This study provides the first quantitative assessment of research method publication trends in EBM.
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spelling pubmed-43883792015-04-21 Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data Hung, Bui The Long, Nguyen Phuoc Hung, Le Phi Luan, Nguyen Thien Anh, Nguyen Hoang Nghi, Tran Diem Van Hieu, Mai Trang, Nguyen Thi Huyen Rafidinarivo, Herizo Fabien Anh, Nguyen Ky Hawkes, David Huy, Nguyen Tien Hirayama, Kenji PLoS One Research Article BACKGROUND: Evidence-based medicine (EBM) has developed as the dominant paradigm of assessment of evidence that is used in clinical practice. Since its development, EBM has been applied to integrate the best available research into diagnosis and treatment with the purpose of improving patient care. In the EBM era, a hierarchy of evidence has been proposed, including various types of research methods, such as meta-analysis (MA), systematic review (SRV), randomized controlled trial (RCT), case report (CR), practice guideline (PGL), and so on. Although there are numerous studies examining the impact and importance of specific cases of EBM in clinical practice, there is a lack of research quantitatively measuring publication trends in the growth and development of EBM. Therefore, a bibliometric analysis was constructed to determine the scientific productivity of EBM research over decades. METHODS: NCBI PubMed database was used to search, retrieve and classify publications according to research method and year of publication. Joinpoint regression analysis was undertaken to analyze trends in research productivity and the prevalence of individual research methods. FINDINGS: Analysis indicates that MA and SRV, which are classified as the highest ranking of evidence in the EBM, accounted for a relatively small but auspicious number of publications. For most research methods, the annual percent change (APC) indicates a consistent increase in publication frequency. MA, SRV and RCT show the highest rate of publication growth in the past twenty years. Only controlled clinical trials (CCT) shows a non-significant reduction in publications over the past ten years. CONCLUSIONS: Higher quality research methods, such as MA, SRV and RCT, are showing continuous publication growth, which suggests an acknowledgement of the value of these methods. This study provides the first quantitative assessment of research method publication trends in EBM. Public Library of Science 2015-04-07 /pmc/articles/PMC4388379/ /pubmed/25849641 http://dx.doi.org/10.1371/journal.pone.0121054 Text en © 2015 Hung et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hung, Bui The
Long, Nguyen Phuoc
Hung, Le Phi
Luan, Nguyen Thien
Anh, Nguyen Hoang
Nghi, Tran Diem
Van Hieu, Mai
Trang, Nguyen Thi Huyen
Rafidinarivo, Herizo Fabien
Anh, Nguyen Ky
Hawkes, David
Huy, Nguyen Tien
Hirayama, Kenji
Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title_full Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title_fullStr Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title_full_unstemmed Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title_short Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data
title_sort research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388379/
https://www.ncbi.nlm.nih.gov/pubmed/25849641
http://dx.doi.org/10.1371/journal.pone.0121054
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