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      Analysis of the Most-Cited Systematic Review or Meta-Analysis in Acupuncture Research

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          Abstract

          Objectives

          The aim of the current study was to analyze the 100 most-cited systematic reviews or meta-analyses in the field of acupuncture research.

          Methods

          The Web of Science Core Collection was used to retrieve lists of 100 most-cited systematic reviews or meta-analyses in the field of acupuncture research. Two authors screened literature, extracted data, and analyzed the results.

          Results

          The citation number of the 100 most-cited systematic reviews or meta-analyses varied from 65 to 577; they were published between 1989 and 2018. Fourteen authors published more than 1 study as the corresponding author and 10 authors published more than 1 study as the first author. In terms of the corresponding authors, Edzard Ernst and Linde Klaus published the most systematic reviews/meta-analyses ( n = 7). The USA published most of the systematic reviews or meta-analyses ( n = 24), followed by England ( n = 23) and China ( n = 14). Most institutions with more than 1 study were from England (4/13). The institutions with the largest numbers of most-cited systematic reviews or meta-analyses were the Technical University of Munich in Germany, the University of Maryland School of Medicine in the USA ( n = 8), the Universities of Exeter and Plymouth in England ( n = 6), and the University of Exeter in England ( n = 6). The journal with the largest number of most-cited systematic reviews or meta-analyses was the Cochrane Database of Systematic Reviews ( n = 20), followed by Pain ( n = 6).

          Conclusion

          Our study reveals that the 100 most-cited systematic reviews or meta-analyses in the acupuncture research field are mostly from high impact factor journals and developed countries. It will help researchers follow research hot spots, broaden their research scope, expand their academic horizons, and explore new research ideas, thereby improving the quality of acupuncture research.

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          Most cited references35

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          Acupuncture: theory, efficacy, and practice.

          Traditionally, acupuncture is embedded in naturalistic theories that are compatible with Confucianism and Taoism. Such ideas as yin-yang, qi, dampness, and wind represent East Asian conceptual frameworks that emphasize the reliability of ordinary, human sensory awareness. Many physicians who practice acupuncture reject such prescientific notions. Numerous randomized, controlled trials and more than 25 systematic reviews and meta-analyses have evaluated the clinical efficacy of acupuncture. Evidence from these trials indicates that acupuncture is effective for emesis developing after surgery or chemotherapy in adults and for nausea associated with pregnancy. Good evidence exists that acupuncture is also effective for relieving dental pain. For such conditions as chronic pain, back pain, and headache, the data are equivocal or contradictory. Clinical research on acupuncture poses unique methodologic challenges. Properly performed acupuncture seems to be a safe procedure. Basic-science research provides evidence that begins to offer plausible mechanisms for the presumed physiologic effects of acupuncture. Multiple research approaches have shown that acupuncture activates endogenous opioid mechanisms. Recent data, obtained by using functional magnetic resonance imaging, suggest that acupuncture has regionally specific, quantifiable effects on relevant brain structures. Acupuncture may stimulate gene expression of neuropeptides. The training and provision of acupuncture care in the United States are rapidly expanding.
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            Acupuncture for chronic pain: individual patient data meta-analysis.

            Although acupuncture is widely used for chronic pain, there remains considerable controversy as to its value. We aimed to determine the effect size of acupuncture for 4 chronic pain conditions: back and neck pain, osteoarthritis, chronic headache, and shoulder pain. We conducted a systematic review to identify randomized controlled trials (RCTs) of acupuncture for chronic pain in which allocation concealment was determined unambiguously to be adequate. Individual patient data meta-analyses were conducted using data from 29 of 31 eligible RCTs, with a total of 17 922 patients analyzed. In the primary analysis, including all eligible RCTs, acupuncture was superior to both sham and no-acupuncture control for each pain condition (P < .001 for all comparisons). After exclusion of an outlying set of RCTs that strongly favored acupuncture, the effect sizes were similar across pain conditions. Patients receiving acupuncture had less pain, with scores that were 0.23 (95% CI, 0.13-0.33), 0.16 (95% CI, 0.07-0.25), and 0.15 (95% CI, 0.07-0.24) SDs lower than sham controls for back and neck pain, osteoarthritis, and chronic headache, respectively; the effect sizes in comparison to no-acupuncture controls were 0.55 (95% CI, 0.51-0.58), 0.57 (95% CI, 0.50-0.64), and 0.42 (95% CI, 0.37-0.46) SDs. These results were robust to a variety of sensitivity analyses, including those related to publication bias. Acupuncture is effective for the treatment of chronic pain and is therefore a reasonable referral option. Significant differences between true and sham acupuncture indicate that acupuncture is more than a placebo. However, these differences are relatively modest, suggesting that factors in addition to the specific effects of needling are important contributors to the therapeutic effects of acupuncture.
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              A Bibliometric Analysis of Top-Cited Journal Articles in Obstetrics and Gynecology

              Key Points Question What are the top-cited obstetrics and gynecology (OBGYN) articles in the Institute for Scientific Information Web of Science’s Science Citation Index Expanded and how do the articles from nonspecialty journals compare with those published in OBGYN specialty journals? Findings In this cross-sectional bibliometric analysis, search terms from the American Board of Obstetrics and Gynecology’s 2018 certifying examination topics list were used to identify top-cited articles from 1980 to 2018. Compared with top-cited articles published in OBGYN journals, those published in nonspecialty journals covered topics with broad interest to women’s health care professionals, were more frequently cited, and were more likely to be randomized trials. Meaning There are substantial differences between top-cited OBGYN articles published in nonspecialty vs OBGYN journals, which likely reflect the different goals of the journals.
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                Author and article information

                Contributors
                Journal
                Evid Based Complement Alternat Med
                Evid Based Complement Alternat Med
                ECAM
                Evidence-based Complementary and Alternative Medicine : eCAM
                Hindawi
                1741-427X
                1741-4288
                2021
                16 September 2021
                16 September 2021
                : 2021
                : 3469122
                Affiliations
                1Department of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
                2School of Acupuncture-Moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
                3School of Health Preservation and Rehabilitation, Traditional Chinese Medicine of Chengdu University, Chengdu, Sichuan, China
                4Department of Periodical Press, West China Hospital, Sichuan University, Chengdu, China
                5Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
                6Department of Medical Administration, West China Hospital, Sichuan University, Chengdu, China
                Author notes

                Academic Editor: Hongcai Shang

                Author information
                https://orcid.org/0000-0002-3999-2655
                https://orcid.org/0000-0001-9632-3944
                https://orcid.org/0000-0002-5251-3815
                https://orcid.org/0000-0003-3253-2565
                Article
                10.1155/2021/3469122
                8460383
                d744ec1d-865a-4b68-a45b-68d9fce6e23e
                Copyright © 2021 Ying He et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 June 2021
                : 1 August 2021
                : 18 August 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 82004213
                Funded by: Project of Sichuan Provincial Department of Science and Technology
                Award ID: 2021YFH0191
                Categories
                Research Article

                Complementary & Alternative medicine
                Complementary & Alternative medicine

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