Cargando…
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....
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782365379643834368 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4388379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hungbuithe researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT longnguyenphuoc researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT hunglephi researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT luannguyenthien researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT anhnguyenhoang researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT nghitrandiem researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT vanhieumai researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT trangnguyenthihuyen researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT rafidinarivoherizofabien researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT anhnguyenky researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT hawkesdavid researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT huynguyentien researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata AT hirayamakenji researchtrendsinevidencebasedmedicineajoinpointregressionanalysisofmorethan50yearsofpublicationdata |