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Garlapati, Komali
- The Grinspan Syndrome:"Fact" or "Fiction" – A Meta Analysis Research
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Authors
Affiliations
1 Dr G Komali Panineeya Mahavidyalaya Institute of Dental Sciences and Research Centre, Hyderabad, Telangana, IN
2 Bangalore Institute of Dental Sciences, Bengaluru, Karnataka, IN
1 Dr G Komali Panineeya Mahavidyalaya Institute of Dental Sciences and Research Centre, Hyderabad, Telangana, IN
2 Bangalore Institute of Dental Sciences, Bengaluru, Karnataka, IN
Source
Journal of Pierre Fauchard Academy (India Section), Vol 31, No 2 (2017), Pagination: 84-88Abstract
Grinspan Syndrome since its inception has been an arena of interest that has appeared very lucrative to numerous researchers due to its lack of clarity and enhanced ambiguity. This syndrome, which is a triad of Oral Lichen Planus (OLP), Diabetes Mellitus (DM) and Hypertension (HTN) as reported in the early 1963 by Grinspan has not found much appreciation in the literature thereafter.1 There are few studies however which are affirmative towards the association but simultaneously there are more studies which deny it. In our present study therefore, which was based on the case control trials, we aimed at systematically reviewing various literatures available so far using network Meta Analysis in order to establish the exact association between the three entities. Meta Analysis was performed and odds ratios and 95% confidence intervals (CI) calculated. From a total of 45 identified records, 24 case control studies were included in the study. Meta Analysis projected the association between OLP and DM to be 0.1 (no association), between OLP and HTN to be 0.5 (no association) and between OLP, DM and HTN to be 0.5 (no association). Although the results of the intended study do not go in favour of the association between the three entities, further researches need to be carried out in order to make the scenario clearer because the association among the three entities raises a ambiguity or a doubt.Keywords
Grinspan Syndrome, Oral Lichen Planus, Diabetes Mellitus, Hypertension, Meta Analysis.
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