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      Efficacy of adjunctive measures in peri‐implant mucositis. A systematic review and meta‐analysis

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          Abstract

          Aim

          To answer the following PICO question: In systemically healthy humans with peri‐implant mucositis, what is the efficacy of patient‐performed or administered (by prescription) measures used adjunctively to submarginal instrumentation, as compared to submarginal instrumentation alone or combined with a negative control, in terms of reducing bleeding on probing (BOP), in randomized controlled clinical trials (RCTs) with at least 3 months of follow‐up?

          Materials and Methods

          Three databases were searched until April 2022. Weighted mean differences (WMDs) with 95% confidence intervals (CIs) and predictive intervals were calculated.

          Results

          Sixteen parallel RCTs corresponding to 14 studies with low/moderate risk of bias were included. Test groups showed greater reductions in BOP (%) than control groups ( n studies = 16; n patients = 650; WMD = 14.25%; 95% CI [9.06–19.45]; p < .001; I 2 = 98.7%). The greatest WMD in BOP reductions (%) were obtained by antiseptics ( n s  = 5; n p  = 229; WMD = 22.72%; 95% CI [19.40–26.04]; p < 0.001; I 2 = 94.8%), followed by probiotics ( n s  = 6; n p  = 260; WMD = 12.11%; 95% CI [3.20–21.03]; p = .008; I 2 = 93.3%) and systemic antibiotics ( n s  = 3; n p  = 101; WMD = 5.97%; 95% CI [1.34–10.59]; p = .012; I 2 = 58.1%). Disease resolution was scarcely reported ( n = 6).

          Conclusions

          Significant clinical improvements can be obtained when professional submarginal instrumentation is combined with patient‐performed or administered (by prescription) adjunctive measures, although a complete disease resolution may not be achieved.

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          Most cited references51

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          Measuring inconsistency in meta-analyses.

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            RoB 2: a revised tool for assessing risk of bias in randomised trials

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              Rayyan—a web and mobile app for systematic reviews

              Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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                Author and article information

                Contributors
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                Journal
                Journal of Clinical Periodontology
                J Clinic Periodontology
                Wiley
                0303-6979
                1600-051X
                June 2023
                March 06 2023
                June 2023
                : 50
                : S26
                : 161-187
                Affiliations
                [1 ] Department of Surgical Medical and Molecular Pathology and Critical Care Medicine, University of Pisa Pisa Italy
                [2 ] Sub‐Unit of Periodontology Halitosis and Periodontal Medicine, University Hospital of Pisa Pisa Italy
                [3 ] Section of Periodontology, Department of Dental Clinical Specialties Complutense University of Madrid Madrid Spain
                [4 ] ETEP (Etiology and Therapy of Periodontal and Peri‐Implant Diseases) Research Group, Complutense University of Madrid Madrid Spain
                [5 ] Unit of Periodontology, Endodontology and Restorative Dentistry, Department of Medical Biotechnologies University of Siena Siena Italy
                Article
                10.1111/jcpe.13791
                36792063
                a4d4c868-ca7d-492d-8719-a37cf6aa2237
                © 2023

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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