Research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data.
<h4>Background</h4>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 impro...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0121054 |
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| author | Bui The Hung Nguyen Phuoc Long Le Phi Hung Nguyen Thien Luan Nguyen Hoang Anh Tran Diem Nghi Mai Van Hieu Nguyen Thi Huyen Trang Herizo Fabien Rafidinarivo Nguyen Ky Anh David Hawkes Nguyen Tien Huy Kenji Hirayama |
| author_facet | Bui The Hung Nguyen Phuoc Long Le Phi Hung Nguyen Thien Luan Nguyen Hoang Anh Tran Diem Nghi Mai Van Hieu Nguyen Thi Huyen Trang Herizo Fabien Rafidinarivo Nguyen Ky Anh David Hawkes Nguyen Tien Huy Kenji Hirayama |
| author_sort | Bui The Hung |
| collection | DOAJ |
| description | <h4>Background</h4>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.<h4>Methods</h4>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.<h4>Findings</h4>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.<h4>Conclusions</h4>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 | Article |
| id | doaj-art-85dd3002f8c0464cb40d8cd6cfd9f061 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-85dd3002f8c0464cb40d8cd6cfd9f0612025-08-20T03:50:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01104e012105410.1371/journal.pone.0121054Research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data.Bui The HungNguyen Phuoc LongLe Phi HungNguyen Thien LuanNguyen Hoang AnhTran Diem NghiMai Van HieuNguyen Thi Huyen TrangHerizo Fabien RafidinarivoNguyen Ky AnhDavid HawkesNguyen Tien HuyKenji Hirayama<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Findings</h4>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.<h4>Conclusions</h4>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.https://doi.org/10.1371/journal.pone.0121054 |
| spellingShingle | Bui The Hung Nguyen Phuoc Long Le Phi Hung Nguyen Thien Luan Nguyen Hoang Anh Tran Diem Nghi Mai Van Hieu Nguyen Thi Huyen Trang Herizo Fabien Rafidinarivo Nguyen Ky Anh David Hawkes Nguyen Tien Huy Kenji Hirayama Research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data. PLoS ONE |
| 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 |
| url | https://doi.org/10.1371/journal.pone.0121054 |
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