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Can we predict relapse in Graves' disease? Results from a systematic review and meta-analysis.

Author: DegenChristian, FehlbergHannah, GuebelinLarissa, KutzAlexander, MuellerBeat, SchuetzPhilipp, StrujaTristan

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Meta-AnalysisA statistical technique that integrates the results of multiple studies to draw more general conclusions about a particular issue.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.
Systematic ReviewA review that systematically collects, evaluates, and integrates relevant research to answer a specific research question.

Overview

A meta-analysis of 54 studies on Graves' disease found that orbitopathy, smoking, thyroid volume, goiter size, fT4, tT3, TRAb, and TBII were significantly associated with relapse after stopping anti-thyroid drugs. These factors can be combined into a risk score to guide treatment decisions.
Paper Details　
Original Abstract of the Article :
BACKGROUND: Identification of pretreatment risk factors predicting relapse in patients with hyperthyroidism of Graves' disease after stopping anti-thyroid drugs (ATD) is decisive to guide therapeutic options. PURPOSE: We performed a systematic search and meta-analysis to study predictors for relaps...See full text at original site
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引用元：
https://doi.org/10.1530/EJE-16-0725

データ提供：米国国立医学図書館（NLM）

Predicting Relapse in Graves' Disease: A Quest for Personalized Treatment

This study delves into the complex world of Graves' disease, a condition characterized by hyperthyroidism. The research focuses on identifying pretreatment risk factors that can predict relapse after discontinuing anti-thyroid drugs (ATD). The study analyzed data from 54 trials, encompassing a vast population of individuals with Graves' disease. This comprehensive approach aimed to identify key predictors of relapse, guiding clinicians in making informed treatment decisions.

Unraveling the Predictors of Relapse: A Multifaceted Approach

The study identifies several significant risk factors for relapse, including orbitopathy, smoking, thyroid volume, goiter size, and certain thyroid hormone levels. This information is crucial for tailoring treatment strategies to individual patients, potentially reducing the likelihood of relapse and optimizing treatment outcomes. The study emphasizes the need to consider individual risk factors when managing Graves' disease.

Tailoring Treatment to Individual Needs: A Personalized Approach

The study's findings underscore the importance of personalized medicine in managing Graves' disease. By identifying individual risk factors, clinicians can tailor treatment plans to minimize the risk of relapse. This research emphasizes the need for a holistic approach to treatment, considering both individual characteristics and the potential for disease recurrence.

Dr.Camel's Conclusion

The desert landscape is characterized by unpredictable sandstorms, just as Graves' disease can be unpredictable. This research provides valuable insights into the factors that can influence relapse, allowing healthcare professionals to navigate the complexities of this condition with greater precision. By understanding the individual factors that contribute to relapse, we can strive to offer personalized treatments that lead to sustained remission and improved quality of life for those living with Graves' disease.

Date :
  1. Date Completed 2017-02-07
  2. Date Revised 2018-12-02
Further Info :

Pubmed ID

27780830

DOI: Digital Object Identifier

10.1530/EJE-16-0725

Related Literature

Article Analysis
・Effective treatment of hyperthyroidism
SNS
PICO Info
in preparation
Languages

English

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