Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105243
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | - |
dc.creator | Chen, P | - |
dc.creator | Feng, Y | - |
dc.creator | Li, XH | - |
dc.creator | Li, JX | - |
dc.creator | Wang, YY | - |
dc.creator | Zheng, WY | - |
dc.creator | Su, Z | - |
dc.creator | Cheung, T | - |
dc.creator | Ungvari, GS | - |
dc.creator | Ng, CH | - |
dc.creator | Sha, S | - |
dc.creator | Xiang, YT | - |
dc.date.accessioned | 2024-04-12T06:50:58Z | - |
dc.date.available | 2024-04-12T06:50:58Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/105243 | - |
dc.language.iso | en | en_US |
dc.publisher | Frontiers Research Foundation | en_US |
dc.rights | © 2023 Chen, Feng, Li, Li, Wang, Zheng, Su, Cheung, Ungvari, Ng, Sha and Xiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_US |
dc.rights | The following publication Chen P, Feng Y, Li X-H, Li J-X, Wang Y-Y, Zheng W-Y, Su Z, Cheung T, Ungvari GS, Ng CH, Sha S and Xiang Y-T (2023) Systematic reviews and meta-analyses on major depressive disorder: a bibliometric perspective. Front. Psychiatry 14:1136125 is available at https://doi.org/10.3389/fpsyt.2023.1136125. | en_US |
dc.subject | Bibliometric analysis | en_US |
dc.subject | Depression | en_US |
dc.subject | Evidence-based medicine research | en_US |
dc.subject | Meta-analysis | en_US |
dc.subject | Systematic review | en_US |
dc.title | Systematic reviews and meta-analyses on major depressive disorder : a bibliometric perspective | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 14 | - |
dc.identifier.doi | 10.3389/fpsyt.2023.1136125 | - |
dcterms.abstract | Background: There is a vast amount of evidence-based medicine research on the major depressive disorder (MDD) available in the literature, however, no studies on the overall performance, productivity and impact of such research have been published to date. This study explored and mapped the research outputs of MDD-related systematic reviews and meta-analyses (SR/MA) from a bibliometric perspective. | - |
dcterms.abstract | Methods: Relevant data were retrieved with search terms on MDD, systematic review and meta-analysis. | - |
dcterms.abstract | Results: A total of 4,870 papers with 365,402 citations published from 1983 to 2022 were included in the analysis. The publication output has grown steadily over time with the most publications originating from the USA (1,020; 20.94%), the UK (516; 10.60%) and China (448; 9.20%). The research collaborations between countries were most frequent between the USA and UK (266; 5.46%). Journal of Affective Disorders (379; 7.78%) was the most productive journal, while Cuijpers P was the most productive author (121; 2.48%), and University of Toronto (569; 11.78%) was the most productive institution. The top 10 most cited articles on MDD-related SR/MA had citations ranging from 1,806 to 3,448. The high-frequency keywords were mainly clustered into four themes, including psychiatric comorbidities, clinical trials, treatment, and brain stimulation in MDD. | - |
dcterms.abstract | Conclusion: The rapid increase in the number of SR/MA of MDD in recent years highlights the importance of this research field. Psychiatric comorbidities, clinical interventions, and treatment of MDD have been identified as hot topics, while biological mechanisms in MDD are likely to be an emerging research priority. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Frontiers in psychiatry, 2023, v. 14, 1136125 | - |
dcterms.isPartOf | Frontiers in psychiatry | - |
dcterms.issued | 2023 | - |
dc.identifier.scopus | 2-s2.0-85159033339 | - |
dc.identifier.eissn | 1664-0640 | - |
dc.identifier.artn | 1136125 | - |
dc.description.validate | 202403 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | University of Macau; Sci-Tech Innovation 2030 – Major Project of Brain Science and Brain-inspired Intelligence Technology; Beijing Scholar 2021; Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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fpsyt-14-1136125.pdf | 8.33 MB | Adobe PDF | View/Open |
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