Cargando…
Indices of thyroid epidemiology
This brief communication proposes various indices of epidemicity and endemicity which may be used to predict the future prevalence of hypothyroidism. Taking advantage of knowledge related to the natural progression of autoimmune thyroid disease, it uses data from two recent Indian epidemiological st...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673817/ https://www.ncbi.nlm.nih.gov/pubmed/26693439 http://dx.doi.org/10.4103/2230-8210.167543 |
_version_ | 1782404815275425792 |
---|---|
author | Kalra, Sanjay Kumar, Arun Jarhyan, Prashant Unnikrishnan, Ambika Gopalakrishnan |
author_facet | Kalra, Sanjay Kumar, Arun Jarhyan, Prashant Unnikrishnan, Ambika Gopalakrishnan |
author_sort | Kalra, Sanjay |
collection | PubMed |
description | This brief communication proposes various indices of epidemicity and endemicity which may be used to predict the future prevalence of hypothyroidism. Taking advantage of knowledge related to the natural progression of autoimmune thyroid disease, it uses data from two recent Indian epidemiological studies to assess the epidemicity or endemicity of thyroid disease in the country. The hypothesis generated in this communication will be of help to clinicians as well as policy makers. |
format | Online Article Text |
id | pubmed-4673817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46738172015-12-21 Indices of thyroid epidemiology Kalra, Sanjay Kumar, Arun Jarhyan, Prashant Unnikrishnan, Ambika Gopalakrishnan Indian J Endocrinol Metab Brief Communication This brief communication proposes various indices of epidemicity and endemicity which may be used to predict the future prevalence of hypothyroidism. Taking advantage of knowledge related to the natural progression of autoimmune thyroid disease, it uses data from two recent Indian epidemiological studies to assess the epidemicity or endemicity of thyroid disease in the country. The hypothesis generated in this communication will be of help to clinicians as well as policy makers. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4673817/ /pubmed/26693439 http://dx.doi.org/10.4103/2230-8210.167543 Text en Copyright: © Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Brief Communication Kalra, Sanjay Kumar, Arun Jarhyan, Prashant Unnikrishnan, Ambika Gopalakrishnan Indices of thyroid epidemiology |
title | Indices of thyroid epidemiology |
title_full | Indices of thyroid epidemiology |
title_fullStr | Indices of thyroid epidemiology |
title_full_unstemmed | Indices of thyroid epidemiology |
title_short | Indices of thyroid epidemiology |
title_sort | indices of thyroid epidemiology |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673817/ https://www.ncbi.nlm.nih.gov/pubmed/26693439 http://dx.doi.org/10.4103/2230-8210.167543 |
work_keys_str_mv | AT kalrasanjay indicesofthyroidepidemiology AT kumararun indicesofthyroidepidemiology AT jarhyanprashant indicesofthyroidepidemiology AT unnikrishnanambikagopalakrishnan indicesofthyroidepidemiology |