An evidence map on traditional medicine across health outcomes
Background: Traditional medicine (TM) plays a significant role in healthcare either as part of the primary healthcare system or as an adjunct to conventional medicine. This study aimed to map systematic reviews (SRs) of TM modalities across health conditions and identify gaps in the research literat...
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Elsevier
2024-09-01
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| Series: | Integrative Medicine Research |
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| author | Lin Ang Eunhye Song Miek C Jong Terje Alræk Barbara Wider Tae-Young Choi Ji Hee Jun Boram Lee Yujin Choi Hye Won Lee Changsop Yang Mi Hong Yim Hitoshi Yamashita Zhaochen Ji Haiyin Hu Junhua Zhang Jianping Liu Yaolong Chen Yishan Qin Liming Lu Fan Qu Odd-Magne Hansen Chan-Young Kwon Jungtae Leem Hyangsook Lee Tae-Hun Kim Kun Hyung Kim Sunju Park Ye-Seul Lee Soobin Jang Jiyoon Won Jiae Choi Juah Lee Song-Yi Kim Myeong Soo Lee |
| author_facet | Lin Ang Eunhye Song Miek C Jong Terje Alræk Barbara Wider Tae-Young Choi Ji Hee Jun Boram Lee Yujin Choi Hye Won Lee Changsop Yang Mi Hong Yim Hitoshi Yamashita Zhaochen Ji Haiyin Hu Junhua Zhang Jianping Liu Yaolong Chen Yishan Qin Liming Lu Fan Qu Odd-Magne Hansen Chan-Young Kwon Jungtae Leem Hyangsook Lee Tae-Hun Kim Kun Hyung Kim Sunju Park Ye-Seul Lee Soobin Jang Jiyoon Won Jiae Choi Juah Lee Song-Yi Kim Myeong Soo Lee |
| author_sort | Lin Ang |
| collection | DOAJ |
| description | Background: Traditional medicine (TM) plays a significant role in healthcare either as part of the primary healthcare system or as an adjunct to conventional medicine. This study aimed to map systematic reviews (SRs) of TM modalities across health conditions and identify gaps in the research literature to facilitate priority setting in future TM research. Methods: We searched 17 databases from January 2018 to December 2022. Reviewers in pairs independently performed the database search, screened each record for inclusion, extracted data, and performed quality assessments using the AMSTAR 2 - A Measurement Tool to Assess systematic Reviews. To be included in this evidence map, the studies had to be SRs of clinical studies that evaluated the effectiveness of a TM modalities. The included SRs were analyzed according to TM modality, ICD-11 disease classification, and health outcomes, and visualized using graphical plots. Results: We retrieved 241,509 records. After excluding duplicate records, 181,616 titles and abstracts were screened and 20,856 records were selected for full-text assessment, of which 18,137 records were further excluded. The final 2719 included SRs were primarily in adults (2591) with only 128 SRs in the pediatric population. The most commonly evaluated health conditions were diseases of the digestive system, circulatory system, and genitourinary system, with herbal medicine (n = 1867) and acupuncture (n = 471) being the most investigated TM modalities in treating these illnesses. Based on AMSTAR 2 criteria, the methodology quality of the included SRs is considerably low. Conclusion: This evidence map provides a comprehensive overview of the extent and nature of the available research onTM modalities across health conditions. It provides an initial step towards characterizing the global evidence base and outlining gaps in the existing evidence. We regard this study as laying the basis for future research of TM modalities. Registration: The protocol of this map is registered in PROSPERO (CRD42023416355). |
| format | Article |
| id | doaj-art-349af6e1bc874e658b1a4e6a3a4e1873 |
| institution | OA Journals |
| issn | 2213-4220 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Integrative Medicine Research |
| spelling | doaj-art-349af6e1bc874e658b1a4e6a3a4e18732025-08-20T02:01:45ZengElsevierIntegrative Medicine Research2213-42202024-09-0113310107010.1016/j.imr.2024.101070An evidence map on traditional medicine across health outcomesLin Ang0Eunhye Song1Miek C Jong2Terje Alræk3Barbara Wider4Tae-Young Choi5Ji Hee Jun6Boram Lee7Yujin Choi8Hye Won Lee9Changsop Yang10Mi Hong Yim11Hitoshi Yamashita12Zhaochen Ji13Haiyin Hu14Junhua Zhang15Jianping Liu16Yaolong Chen17Yishan Qin18Liming Lu19Fan Qu20Odd-Magne Hansen21Chan-Young Kwon22Jungtae Leem23Hyangsook Lee24Tae-Hun Kim25Kun Hyung Kim26Sunju Park27Ye-Seul Lee28Soobin Jang29Jiyoon Won30Jiae Choi31Juah Lee32Song-Yi Kim33Myeong Soo Lee34Korean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaGlobal Cooperation Center, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaDepartment of Community Medicine, UiT The Arctic University of Norway, Norway's National Research Center in complementary and Alternative Medicine, Tromso, NorwayDepartment of Community Medicine, UiT The Arctic University of Norway, Norway's National Research Center in complementary and Alternative Medicine, Tromso, NorwayDepartment of Community Medicine, UiT The Arctic University of Norway, Norway's National Research Center in complementary and Alternative Medicine, Tromso, NorwayKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaKorean Medicine Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of KoreaAcupuncture Information Center, Morinomiya University of Medical Sciences, Osaka, JapanSchool of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaHaihe Laboratory of Modern Chinese Medicine, Tianjin, ChinaEvidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, ChinaChevidence Lab of Child and Adolescent Health, Children's Hospital of Chongqing Medical University, Chongqing, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaWomen's Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Community Medicine, UiT The Arctic University of Norway, Norway's National Research Center in complementary and Alternative Medicine, Tromso, NorwayDepartment of Oriental Neuropsychiatry, College of Korean Medicine, Dong-eui University, Busan, Republic of KoreaResearch Center of Traditional Korean Medicine, College of Korean Medicine, Wonkwang University, Iksan, Republic of KoreaAcupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of KoreaKorean Medicine Clinical Trial Center, Korean Medicine Hospital, Kyung Hee University, Seoul, Republic of KoreaSchool of Korean Medicine, Pusan National University, Yangsan, Republic of KoreaDepartment of Preventive Medicine, College of Korean Medicine, Daejeon University, Daejeon, Republic of KoreaJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Republic of KoreaDepartment of Preventive Medicine, College of Korean Medicine, Daegu Haany University, Gyeongsan, Republic of KoreaDepartment of Meridian & Acupoint, College of Korean Medicine, Dong-eui University, Busan, Republic of KoreaDepartment of Preventive Medicine, College of Medicine, Korea University, Seoul, South KoreaHwa Pyeong Institute of Integrative Medicine, Incheon, Republic of KoreaCollege of Korean Medicine, Gachon University, Seongnam, Republic of KoreaKorean Medicine Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea; Corresponding author at: Korean Medicine Science Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, Republic of Korea.Background: Traditional medicine (TM) plays a significant role in healthcare either as part of the primary healthcare system or as an adjunct to conventional medicine. This study aimed to map systematic reviews (SRs) of TM modalities across health conditions and identify gaps in the research literature to facilitate priority setting in future TM research. Methods: We searched 17 databases from January 2018 to December 2022. Reviewers in pairs independently performed the database search, screened each record for inclusion, extracted data, and performed quality assessments using the AMSTAR 2 - A Measurement Tool to Assess systematic Reviews. To be included in this evidence map, the studies had to be SRs of clinical studies that evaluated the effectiveness of a TM modalities. The included SRs were analyzed according to TM modality, ICD-11 disease classification, and health outcomes, and visualized using graphical plots. Results: We retrieved 241,509 records. After excluding duplicate records, 181,616 titles and abstracts were screened and 20,856 records were selected for full-text assessment, of which 18,137 records were further excluded. The final 2719 included SRs were primarily in adults (2591) with only 128 SRs in the pediatric population. The most commonly evaluated health conditions were diseases of the digestive system, circulatory system, and genitourinary system, with herbal medicine (n = 1867) and acupuncture (n = 471) being the most investigated TM modalities in treating these illnesses. Based on AMSTAR 2 criteria, the methodology quality of the included SRs is considerably low. Conclusion: This evidence map provides a comprehensive overview of the extent and nature of the available research onTM modalities across health conditions. It provides an initial step towards characterizing the global evidence base and outlining gaps in the existing evidence. We regard this study as laying the basis for future research of TM modalities. Registration: The protocol of this map is registered in PROSPERO (CRD42023416355).http://www.sciencedirect.com/science/article/pii/S2213422024000507Complementary and alternative medicineICD-11Traditional medicineGlobal health researchHealth outcomes |
| spellingShingle | Lin Ang Eunhye Song Miek C Jong Terje Alræk Barbara Wider Tae-Young Choi Ji Hee Jun Boram Lee Yujin Choi Hye Won Lee Changsop Yang Mi Hong Yim Hitoshi Yamashita Zhaochen Ji Haiyin Hu Junhua Zhang Jianping Liu Yaolong Chen Yishan Qin Liming Lu Fan Qu Odd-Magne Hansen Chan-Young Kwon Jungtae Leem Hyangsook Lee Tae-Hun Kim Kun Hyung Kim Sunju Park Ye-Seul Lee Soobin Jang Jiyoon Won Jiae Choi Juah Lee Song-Yi Kim Myeong Soo Lee An evidence map on traditional medicine across health outcomes Integrative Medicine Research Complementary and alternative medicine ICD-11 Traditional medicine Global health research Health outcomes |
| title | An evidence map on traditional medicine across health outcomes |
| title_full | An evidence map on traditional medicine across health outcomes |
| title_fullStr | An evidence map on traditional medicine across health outcomes |
| title_full_unstemmed | An evidence map on traditional medicine across health outcomes |
| title_short | An evidence map on traditional medicine across health outcomes |
| title_sort | evidence map on traditional medicine across health outcomes |
| topic | Complementary and alternative medicine ICD-11 Traditional medicine Global health research Health outcomes |
| url | http://www.sciencedirect.com/science/article/pii/S2213422024000507 |
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