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We reviewed the literature from the last 20\u00a0years assessing the utility of various neurophysiological, immunological, provocative and genetic tests in MG and CMS. Diagnostic sensitivity of repetitive nerve stimulation test ranges between 14 and 94% and specificity between 73 and 100%; sensitivity of single-fibre EMG (SFEMG) test ranges between 64 and 100% and specificity between 22 and 100%; anti-acetylcholine receptor (AChR) antibody sensitivity ranges from 13 to 97% and specificity ranges from 95 to 100%. Overall, SFEMG has the highest sensitivity while positive anti-AChR antibodies have the highest specificity. Newer testing strategies that have been investigated over the last couple of decades include ocular vestibular-evoked myogenic potentials, otoacoustic emissions and disease-specific circulating miRNAs in serum for autoimmune myasthenia, as well as next-generation sequencing for genetic testing of CMS. While there has been significant progress in developing newer testing strategies for diagnosing MG and CMS over the last couple of decades, more research is needed to assess the utility of these newer tools regarding their sensitivity and specificity.<\/jats:p>","DOI":"10.1007\/s00415-022-10986-3","type":"journal-article","created":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T06:03:46Z","timestamp":1644473026000},"page":"3372-3384","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Bedside and laboratory diagnostic testing in myasthenia"],"prefix":"10.1007","volume":"269","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2490-2941","authenticated-orcid":false,"given":"Katie","family":"Yoganathan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Stevenson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Awais","family":"Tahir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ross","family":"Sadler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandar","family":"Radunovic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naveed","family":"Malek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,10]]},"reference":[{"key":"10986_CR1","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/B978-0-444-63432-0.00024-4","volume":"133","author":"J Verschuuren","year":"2016","unstructured":"Verschuuren J, Strijbos E, Vincent A (2016) Neuromuscular junction disorders. 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