AI Article Synopsis
- The communication suggests different indices that can help predict how common hypothyroidism may become in the future.
- It utilizes data from recent studies conducted in India to analyze the occurrence of thyroid disease, considering its natural progression.
- The findings aim to assist both healthcare professionals and policymakers in understanding and addressing thyroid disease.
Article Abstract
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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673817 | PMC |
| http://dx.doi.org/10.4103/2230-8210.167543 | DOI Listing |
Publication Analysis
Top Keywords
epidemicity endemicity
8
thyroid disease
8
indices thyroid
4
thyroid epidemiology
4
epidemiology communication
4
communication proposes
4
proposes indices
4
indices epidemicity
4
endemicity predict
4
predict future
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!