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Understanding species distribution and antifungal drug resistance patterns is an essential step for novel drug development. A systematic review was performed addressing this challenge in India with keywords inclusive of \u2018Candida\u2019, \u2018Antifungal Drug Resistance\u2019, \u2018Candidemia\u2019, \u2018Candidiasis\u2019 and \u2018India\u2019. A total of 106 studies (January 1978\u2013March 2020) from 20 Indian states were included. Of over 11,429 isolates, Candida albicans was the major species accounting for 37.95% of total isolates followed by C. tropicalis (29.40%), C. glabrata (11.68%) and C. parapsilosis (8.36%). Rates of antifungal resistance were highest in non-albicans Candida (NAC) species - C. haemuloni (47.16%), C. krusei (28.99%), C. lipolytica (28.89%) and C. glabrata (20.69%). Approximately 10.34% isolates of C. albicans were observed to be drug resistant. Candida species were frequently resistant to certain azoles (ketoconazole-22.2%, miconazole\u201322.1% and fluconazole\u201321.8%). In conclusion, the present systematic review illustrates the overall distribution and antifungal resistance pattern of Candida species among the Indian population that could be helpful in the future for the formation of treatment recommendations for the region but also elsewhere.<\/jats:p><\/jats:sec><jats:sec><jats:title>Lay Summary<\/jats:title><jats:p>A total of 106 studies were reviewed to define the prevalence, distribution and antifungal resistance pattern of Candida species in India. The presented data could become the point of reference for all reported findings on Candida species in India.<\/jats:p><\/jats:sec>","DOI":"10.1093\/mmy\/myab058","type":"journal-article","created":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T20:09:13Z","timestamp":1633032553000},"page":"1145-1165","source":"Crossref","is-referenced-by-count":23,"title":["A systematic review on distribution and antifungal resistance pattern of<i>Candida<\/i>species in the Indian population"],"prefix":"10.1093","volume":"59","author":[{"given":"Rashi","family":"Verma","sequence":"first","affiliation":[{"name":"Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India"},{"name":"Biomedical Informatics Centre, ICMR-National Institute of Pathology, New Delhi 110029, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dibyabhaba","family":"Pradhan","sequence":"additional","affiliation":[{"name":"Indian Council of Medical Research - Computational Genomics Centre, All 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