| Autor: |
Zdravko Kamenov, Pavlina Andreeva-Gateva, Mariana Nikolova, Pavlina M. Koseva |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Folia Medica, Vol 63, Iss 4, Pp 467-474 (2021) |
| ISSN: |
1314-2143 |
| Popis: |
Graves’ disease is an immune system disorder that results in the overproduction of thyroid hormones (hyperthyroidism). Thyroid disorders are a societal problem of great public concern because of their high prevalence. This problem can affect the well-being and quality of life of patients. The predisposing factors leading to this disease are not yet fully established and are likely to be interconnected in a complex way. Chemometric analysis allows for the detection of specific relationships between the medical parameter measurements obtained from the patients in an observation group, and the identification of patterns of similarity between these patients. It is not commonly used in clinical trials; however, it can provide reliable information which may help in creating more successful, individualised treatment strategies for established groups (patterns) of patients. The aim of this review is to summarize the latest knowledge about the risk factors for Graves’ disease and considerations about using the chemometric analysis in the study of the disease. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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