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      Efficacy and safety of antibiotic therapy for post-Lyme disease? A systematic review and network meta-analysis

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          Abstract

          Background

          At present, the pathogenesis of post-treatment Lyme disease (PTLDS) is not clear, so the treatment scheme of PTLDS, especially antibiotic treatment, is still controversial. This study aims to evaluate the efficacy of antibiotics in the treatment of PTLDS using network meta-analysis (NMA).

          Methods

          Following PRISMA guidelines, a systematic literature search was conducted on randomized controlled trials in PubMed, EMBASE, Web of Science and Cochrane Library (the literature was published from database inception through December 16, 2022). Using random effect model and fixed effect model. STATA17.0 software was used to evaluate the quality and heterogeneity of the included research literature.

          Results

          The system included 4 randomized controlled trials (485 subjects). The network meta-analysis showed that ceftriaxone had better results than placebo [Mean = 0.87, 95% CI (0.02, 1.71)] and doxycycline [Mean = 1.01, 95% CI (0.03, 1.98)] in FSS scale scores. There was no statistical difference in FSS scale scores of other drugs after treatment. In terms of FSS score results, Ceftriaxone was the best intervention according to the SUCRA value of each treatment (97.7). The analysis of outcome indicators such as Beck Depression Inventory (BDI), Mental-health Scale and Physical-functioning scale showed that there was no statistically significant difference between the antibiotic group and placebo group.

          Conclusion

          Ceftriaxone treatment may be the best choice for antibiotic treatment of PTLD, which provides useful guidance for antibiotic treatment of PTLD in the future.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12879-023-07989-4.

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          Most cited references32

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

            Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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              SF-36 total score as a single measure of health-related quality of life: Scoping review

              According to the 36-Item Short Form Health Survey questionnaire developers, a global measure of health-related quality of life such as the “SF-36 Total/Global/Overall Score” cannot be generated from the questionnaire. However, studies keep on reporting such measure. This study aimed to evaluate the frequency and to describe some characteristics of articles reporting the SF-36 Total/Global/Overall Score in the scientific literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses method was adapted to a scoping review. We performed searches in PubMed, Web of Science, SCOPUS, BVS, and Cochrane Library databases for articles using such scores. We found 172 articles published between 1997 and 2015; 110 (64.0%) of them were published from 2010 onwards; 30.0% appeared in journals with Impact Factor 3.00 or greater. Overall, 129 (75.0%) out of the 172 studies did not specify the method for calculating the “SF-36 Total Score”; 13 studies did not specify their methods but referred to the SF-36 developers’ studies or others; and 30 articles used different strategies for calculating such score, the most frequent being arithmetic averaging of the eight SF-36 domains scores. We concluded that the “SF-36 Total/Global/Overall Score” has been increasingly reported in the scientific literature. Researchers should be aware of this procedure and of its possible impacts upon human health.
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                Author and article information

                Contributors
                liuaihua@kmmu.edu.cn
                baofukai@kmmu.edu.cn
                Journal
                BMC Infect Dis
                BMC Infect Dis
                BMC Infectious Diseases
                BioMed Central (London )
                1471-2334
                12 January 2023
                12 January 2023
                2023
                : 23
                : 22
                Affiliations
                [1 ]GRID grid.285847.4, ISNI 0000 0000 9588 0960, Department of Stomatology, , Haiyuan College of Kunming Medical University, ; Kunming, 650000 China
                [2 ]GRID grid.285847.4, ISNI 0000 0000 9588 0960, Medical Microbiology and Immunology Teaching and Research Section, , Haiyuan College of Kunming Medical University, ; Kunming, 650000 China
                [3 ]GRID grid.285847.4, ISNI 0000 0000 9588 0960, The Institute for Tropical Medicine, Faculty of Basic Medical Science, , Kunming Medical University, ; Kunming, China
                [4 ]GRID grid.285847.4, ISNI 0000 0000 9588 0960, Yunnan Province Key Laboratory of Children’s Major Diseases Research, , The Affiliated Children’s Hospital, Kunming Medical University, ; Kunming, China
                [5 ]GRID grid.13291.38, ISNI 0000 0001 0807 1581, Department of Orthodontics, , West China Hospital of Stomatology, State Key Laboratory of Oral Diseases, National Clinical Research Center of Oral Diseases, Sichuan University, ; Chengdu, China
                Article
                7989
                10.1186/s12879-023-07989-4
                9838005
                36635681
                b07afbee-a4dd-4678-84e5-42c50f93caab
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 July 2022
                : 6 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 32060180
                Funded by: FundRef http://dx.doi.org/10.13039/501100005273, Natural Science Foundation of Yunnan Province;
                Award ID: 2017FE467-001
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Infectious disease & Microbiology
                antibiotics,post-treatment lyme disease,meta-analysis,treatment,curative effect

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