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DOI: 10.1055/s-0042-1756490
Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review
Estudos de validação de ferramentas de diagnóstico de enxaqueca (migrânea) para uso em ambientes não clínicos: uma revisão sistemáticaAbstract
Background Migraine underdiagnosis and undertreatment are so widespread, that hence is essential to diagnose migraine sufferers in nonclinical settings. A systematic review of validation studies on migraine diagnostic tools applicable to nonclinical settings can help researchers and practitioners in tool selection decisions.
Objective To systematically review and critically assess published validation studies on migraine diagnostic tools for use in nonclinical settings, as well as to describe their diagnostic performance.
Methods A multidisciplinary workgroup followed transparent and systematic procedures to collaborate on this work. PubMed, Medline, and Web of Science were searched for studies up to January 17, 2022. The QUADAS-2 was employed to assess methodological quality, and the quality thresholds adopted by the Global Burden Disease study were used to tail signaling questions.
Results From 7,214 articles identified, a total of 27 studies examining 19 tools were eligible for inclusion. There has been no high-quality evidence to support any tool for use of migraine diagnosis in nonclinical settings. The diagnostic accuracy of the ID-migraine, structured headache and HARDSHIP questionnaires have been supported by moderate-quality evidence, with sensitivity and specificity above 70%. Of them, the HARDSHIP questionnaire has been the most extensively validated. The remaining 16 tools have provided poor-quality evidence for migraine diagnosis in nonclinical populations.
Conclusions Up till now, the HARDSHIP questionnaire is the optimal choice for diagnosing migraine in nonclinical settings, with satisfactory diagnostic accuracy supported by moderate methodological quality. This work reveals the crucial next step, which is further high-quality validation studies in diverse nonclinical population groups.
Resumo
Antecedentes O sub-diagnóstico e o subtratamento da enxaqueca são tão difundidos que, portanto, é essencial para diagnosticar os portadores de enxaqueca em ambientes não-clínicos. Uma revisão sistemática dos estudos de validação das ferramentas de diagnóstico da enxaqueca aplicáveis a ambientes não-clínicos pode ajudar os pesquisadores e profissionais nas decisões de seleção de ferramentas.
Objetivo Revisar sistematicamente e avaliar criticamente estudos de validação publicados sobre ferramentas de diagnóstico da enxaqueca para uso em ambientes não-clínicos, bem como descrever seu desempenho diagnóstico.
Métodos Um grupo de trabalho multidisciplinar seguiu procedimentos transparentes e sistemáticos para colaborar neste trabalho. PubMed, Medline e Web of Science foram pesquisados por estudos até 17 de janeiro de 2022. O QUADAS-2 foi empregado para avaliar a qualidade metodológica, e os limites de qualidade adotados pelo estudo da Global Burden Disease foram usados para responder a questões de sinalização.
Resultados De 7.214 artigos identificados, um total de 27 estudos examinando 19 ferramentas foram elegíveis para inclusão. Não houve evidência de alta qualidade para apoiar qualquer ferramenta para o uso de diagnóstico de enxaqueca em ambientes não clínicos. A precisão diagnóstica do ID-Migraine, questionário de dor de cabeça estruturada e questionário HARDSHIP foram apoiados por evidências de qualidade moderada, com sensibilidade e especificidade acima de 70%. Deles, o questionário HARDSHIP foi o mais amplamente validado. As 16 ferramentas restantes forneceram provas de má qualidade para o diagnóstico de enxaqueca em populações não-clínicas.
Conclusões Até agora, o questionário HARDSHIP é a escolha ideal para o diagnóstico da enxaqueca em ambientes não-clínicos, com precisão diagnóstica satisfatória apoiada por uma qualidade metodológica moderada. Este trabalho revela o próximo passo crucial, que é a realização de mais estudos de validação de alta qualidade em diversos grupos populacionais não-clínicos.
Palavras-chave
Transtornos de Enxaqueca - Diagnóstico - Sensibilidade e Especificidade - Revisão SistemáticaAuthors' Contributions
LPW, TL, DW: conceptualized the research framework and designed the methodology; DW, HNZ, RRT: conducted the literature search, screening, and review; DW, YC: appraised the quality of included studies; DW, MKAK: were involved in data extraction, assisted with the analysis and initial draft; LPW, TL: resolved any disagreements, did the manuscript correcting, language editing, and study supervision. The final submitted version has been read and approved by all authors.
Support
The study was supported financially by the Youth Science and Technology Talent Promotion Project of the Guizhou Educational Department, China (黔教合KY字[2022]241号).
Publication History
Received: 29 April 2022
Accepted: 29 July 2022
Article published online:
27 October 2022
© 2023. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
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References
- 1 GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392 (10159): 1789-1858
- 2 World Health Organization. Geneve. Organization 2016;8:••• cited 2022 Feb 15 Headache disorders; Available from: https://www.who.int/news-room/fact-sheets/detail/headache-disorders
- 3 Neurology Collaborators GBD. GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18 (05) 459-480
- 4 Saylor D, Steiner TJ. The Global Burden of Headache. Semin Neurol 2018; 38 (02) 182-190
- 5 Takeshima T, Wan Q, Zhang Y. et al. Prevalence, burden, and clinical management of migraine in China, Japan, and South Korea: a comprehensive review of the literature. J Headache Pain 2019; 20 (01) 111
- 6 Katsarava Z, Mania M, Lampl C, Herberhold J, Steiner TJ. Poor medical care for people with migraine in Europe - evidence from the Eurolight study. J Headache Pain 2018; 19 (01) 10
- 7 Potter R, Probyn K, Bernstein C, Pincus T, Underwood M, Matharu M. Diagnostic and classification tools for chronic headache disorders: A systematic review. Cephalalgia 2019; 39 (06) 761-784
- 8 van der Meer HA, Visscher CM, Vredeveld T, Nijhuis van der Sanden MW, Hh Engelbert R, Speksnijder CM. The diagnostic accuracy of headache measurement instruments: A systematic review and meta-analysis focusing on headaches associated with musculoskeletal symptoms. Cephalalgia 2019; 39 (10) 1313-1332
- 9 Woldeamanuel YW, Cowan RP. Computerized migraine diagnostic tools: a systematic review. Ther Adv Chronic Dis 2022;13:20406223211065235
- 10 International Headache Society. UK: The Society; 2017 [cited 16 Aug 2021]. Guidelines; Available from: https://ihs-headache.org/en/resources/guidelines/
- 11 Stovner LJ, Al Jumah M, Birbeck GL. et al. The methodology of population surveys of headache prevalence, burden and cost: principles and recommendations from the Global Campaign against Headache. J Headache Pain 2014; 15: 5
- 12 Charles A. The pathophysiology of migraine: implications for clinical management. Lancet Neurol 2018; 17 (02) 174-182
- 13 Ashina S, Olesen J, Lipton RB. How Well Does the ICHD 3 (Beta) Help in Real-Life Migraine Diagnosis and Management?. Curr Pain Headache Rep 2016; 20 (12) 66
- 14 Deeks J, Bossuyt P, Leeflang M, Takwoingi Y, Flemyng E. London: Cochrane; 2022 [cited 2 Jan 2022]. Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy (Version 2.0); Available from: https://training.cochrane.org/handbook-diagnostic-test-accuracy
- 15 Whiting PF, Rutjes AW, Westwood ME. et al; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155 (08) 529-536
- 16 Diseases Injuries Collaborators GBD. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396 (10258): 1204-1222
- 17 Siva A, Zarifoglu M, Ertas M. et al. Validity of the ID-Migraine screener in the workplace. Neurology 2008; 70 (16) 1337-1345
- 18 Wang X, San YZ, Sun JM. et al. Validation of the Chinese Version of ID-Migraine in Medical Students and Systematic Review with Meta-Analysis Concerning Its Diagnostic Accuracy. J Oral Facial Pain Headache 2015; 29 (03) 265-278
- 19 Csépány É, Tóth M, Gyüre T. et al. The validation of the Hungarian version of the ID-migraine questionnaire. J Headache Pain 2018; 19 (01) 106
- 20 Streel S, Donneau A-F, Dardenne N. et al. Validation of an extended French version of ID Migraine™ as a migraine-screening tool. Cephalalgia 2015; 35 (05) 437-442
- 21 Láinez MJ, Castillo J, Domínguez M, Palacios G, Díaz S, Rejas J. New uses of the Migraine Screen Questionnaire (MS-Q): validation in the Primary Care setting and ability to detect hidden migraine. MS-Q in Primary Care. BMC Neurol 2010; 10: 39
- 22 Láinez MJA, Domínguez M, Rejas J. et al. Development and validation of the migraine screen questionnaire (MS-Q). Headache 2005; 45 (10) 1328-1338
- 23 Delic D, Ristic A, Grujic B. et al. Translation and Transcultural Validation of Migraine Screening Questionnaire (MS-Q). Med Arh 2018; 72 (06) 430-433
- 24 Gervil M, Ulrich V, Olesen J, Russell MB. Screening for migraine in the general population: validation of a simple questionnaire. Cephalalgia 1998; 18 (06) 342-348
- 25 Rueda-Sánchez M, Díaz-Martínez LA. Validation of a migraine screening questionnaire in a Colombian university population. Cephalalgia 2004; 24 (10) 894-899
- 26 Phillip D, Lyngberg A, Jensen R. Assessment of headache diagnosis. A comparative population study of a clinical interview with a diagnostic headache diary. Cephalalgia 2007; 27 (01) 1-8
- 27 Kirchmann M, Seven E, Björnsson A. et al. Validation of the deCODE Migraine Questionnaire (DMQ3) for use in genetic studies. Eur J Neurol 2006; 13 (11) 1239-1244
- 28 Lipton RB, Serrano D, Buse DC. et al. Improving the detection of chronic migraine: Development and validation of Identify Chronic Migraine (ID-CM). Cephalalgia 2016; 36 (03) 203-215
- 29 Hagen K, Zwart JA, Vatten L, Stovner LJ, Bovim G. Head-HUNT: validity and reliability of a headache questionnaire in a large population-based study in Norway. Cephalalgia 2000; 20 (04) 244-251
- 30 Hagen K, Zwart J-A, Aamodt AH. et al. The validity of questionnaire-based diagnoses: the third Nord-Trøndelag Health Study 2006-2008. J Headache Pain 2010; 11 (01) 67-73
- 31 Hagen K, Åsberg AN, Uhlig BL, Tronvik E, Brenner E, Sand T. The HUNT4 study: the validity of questionnaire-based diagnoses. J Headache Pain 2019; 20 (01) 70
- 32 Fritsche G, Hueppe M, Kukava M. et al. Validation of a german language questionnaire for screening for migraine, tension-type headache, and trigeminal autonomic cephalgias. Headache 2007; 47 (04) 546-551
- 33 Ayzenberg I, Katsarava Z, Mathalikov R. et al; Lifting The Burden: Global Campaign to Reduce Burden of Headache Worldwide and Russian Linguistic Subcommittee of International Headache Society. The burden of headache in Russia: validation of the diagnostic questionnaire in a population-based sample. Eur J Neurol 2011; 18 (03) 454-459
- 34 Herekar AD, Herekar AA, Ahmad A. et al. The burden of headache disorders in Pakistan: methodology of a population-based nationwide study, and questionnaire validation. J Headache Pain 2013; 14: 73
- 35 Rao GN, Kulkarni GB, Gururaj G. et al. The burden of headache disorders in India: methodology and questionnaire validation for a community-based survey in Karnataka State. J Headache Pain 2012; 13 (07) 543-550
- 36 Yu SY, Cao XT, Zhao G. et al. The burden of headache in China: validation of diagnostic questionnaire for a population-based survey. J Headache Pain 2011; 12 (02) 141-146
- 37 Kaiser EA, Igdalova A, Aguirre GK, Cucchiara B. A web-based, branching logic questionnaire for the automated classification of migraine. Cephalalgia 2019; 39 (10) 1257-1266
- 38 Eriksen MK, Thomsen LL, Olesen J. The Visual Aura Rating Scale (VARS) for migraine aura diagnosis. Cephalalgia 2005; 25 (10) 801-810
- 39 Kim BK, Cho S, Kim HY, Chu MK. Validity and reliability of the self-administered Visual Aura Rating Scale questionnaire for migraine with aura diagnosis: A prospective clinic-based study. Headache 2021; 61 (06) 863-871
- 40 Kallela M, Wessman M, Färkkilä M. Validation of a migraine-specific questionnaire for use in family studies. Eur J Neurol 2001; 8 (01) 61-66
- 41 van Oosterhout WP, Weller CM, Stam AH. et al. Validation of the web-based LUMINA questionnaire for recruiting large cohorts of migraineurs. Cephalalgia 2011; 31 (13) 1359-1367
- 42 Abrignani G, Ferrante T, Castellini P. et al. Description and validation of an Italian ICHD-II-based questionnaire for use in epidemiological research. Headache 2012; 52 (08) 1262-1282
- 43 El-Sherbiny NA, Shehata HS, Amer H. et al. Development and validation of an Arabic-language headache questionnaire for population-based surveys. J Pain Res 2017; 10: 1289-1295
- 44 Rains JC, Penzien DB, Martin VT. Migraine and women's health. J Am Med Womens Assoc 2002; 57 (02) 73-78
- 45 Martinez LF, Ferreira AI. Sick at work: presenteeism among nurses in a Portuguese public hospital. Stress Health 2012; 28 (04) 297-304
- 46 Peters M, Abu-Saad HH, Robbins I, Vydelingum V, Dowson A, Murphy M. Patients' management of migraine and chronic daily headache: a study of the members of the Migraine Action Association (United Kingdom). Headache 2005; 45 (05) 571-581
- 47 Rutjes AW, Reitsma JB, Di Nisio M, Smidt N, van Rijn JC, Bossuyt PM. Evidence of bias and variation in diagnostic accuracy studies. CMAJ 2006; 174 (04) 469-476