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      The impact of primary headaches on disability outcomes: a literature review and meta-analysis to inform future iterations of the Global Burden of Disease study

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          Abstract

          Background

          The burden and disability associated with headaches are conceptualized and measured differently at patients’ and populations’ levels. At the patients’ level, through patient-reported outcome measures (PROMs); at population level, through disability weights (DW) and years lived with a disability (YLDs) developed by the Global Burden of Disease Study (GBD). DW are 0–1 coefficients that address health loss and have been defined through lay descriptions. With this literature review, we aimed to provide a comprehensive analysis of disability in headache disorders, and to present a coefficient referring to patients’ disability which might inform future GBD definitions of DW for headache disorders.

          Methods

          We searched SCOPUS and PubMed for papers published between 2015 and 2023 addressing disability in headache disorders. The selected manuscript included a reference to headache frequency and at least one PROM. A meta-analytic approach was carried out to address relevant differences for the most commonly used PROMs (by headache type, tertiles of medication intake, tertiles of females’ percentage in the sample, and age). We developed a 0–1 coefficient based on the MIDAS, on the HIT-6, and on MIDAS + HIT-6 which was intended to promote future DW iterations by the GBD consortium.

          Results

          A total of 366 studies, 596 sub-samples, and more than 133,000 single patients were available, mostly referred to cases with migraine. Almost all PROMs showed the ability to differentiate disability severity across conditions and tertiles of medication intake. The indexes we developed can be used to inform future iterations of DW, in particular considering their ability to differentiate across age and tertiles of medication intake.

          Conclusions

          Our review provides reference values for the most commonly used PROMS and a data-driven coefficient whose main added value is its ability to differentiate across tertiles of age and medication intake which underlie on one side the increased burden due to aging (it is likely connected to the increased impact of common comorbidities), and by the other side the increased burden due to medication consumption, which can be considered as a proxy for headache severity. Both elements should be considered when describing disability of headache disorders at population levels.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s10194-024-01735-0.

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          Most cited references62

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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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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              Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition

              (2018)
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                Author and article information

                Contributors
                marta.waliszewska@gmail.com
                danilo.montisano@istituto-besta.it
                Journal
                J Headache Pain
                J Headache Pain
                The Journal of Headache and Pain
                Springer Milan (Milan )
                1129-2369
                1129-2377
                4 March 2024
                4 March 2024
                2024
                : 25
                : 1
                : 27
                Affiliations
                [1 ]Department of Neurology, Wroclaw Medical University, ( https://ror.org/01qpw1b93) Wroclaw, Poland
                [2 ]GRID grid.417894.7, ISNI 0000 0001 0707 5492, Dipartimento Di Neuroalgologia, Centro Cefalee, , Fondazione IRRCS Istituto Neurologico Carlo Besta, ; Milan, Italy
                [3 ]Department of Brain and Behavioral Sciences, University of Pavia, ( https://ror.org/00s6t1f81) Pavia, Italy
                [4 ]GRID grid.419416.f, ISNI 0000 0004 1760 3107, Headache Science & Neurorehabilitation Center, , IRCCS Mondino Foundation, ; Pavia, Italy
                [5 ]Neuroimaging Research Unit and Neurology Unit, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, ( https://ror.org/006x48140) Milan, Italy
                [6 ]Department of Neurology, Keio University School of Medicine, ( https://ror.org/02kn6nx58) Tokyo, Japan
                [7 ]Japanese Red Cross, Ashikaga Hospital, Tochigi, Japan
                [8 ]Department of Neurology, University Clinic of Kazan Federal University, ( https://ror.org/05256ym39) Kazan, Russian Federation
                [9 ]Faculty of Physical Chemistry, Laboratory for Advanced Analysis of Neuroimages, University of Belgrade, ( https://ror.org/02qsmb048) Belgrade, Serbia
                [10 ]Unitelma Sapienza University of Rome, ( https://ror.org/02p77k626) Rome, Italy
                [11 ]GRID grid.418879.b, ISNI 0000 0004 1758 9800, Neuroscience Institute, National Research Council, ; Padua, Italy
                [12 ]GRID grid.417894.7, ISNI 0000 0001 0707 5492, SC Neurologia, Salute Pubblica, Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, ; Milan, Italy
                Article
                1735
                10.1186/s10194-024-01735-0
                10910736
                38433202
                70606bd4-291a-477b-88ad-f653f435b74b
                © The Author(s) 2024

                Open Access This 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
                : 29 December 2023
                : 23 February 2024
                Categories
                Review
                Custom metadata
                © Springer-Verlag Italia S.r.l., part of Springer Nature 2024

                Anesthesiology & Pain management
                migraine,tension-type headache,cluster headache,disability,burden,gbd,yld
                Anesthesiology & Pain management
                migraine, tension-type headache, cluster headache, disability, burden, gbd, yld

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