Paper Details 
Original Abstract of the Article :
Safety information regarding drug use during pregnancy is insufficient. The present study aimed to establish an optimal signal detection method to identify adverse drug reactions in pregnant women and to evaluate information in the Japanese Adverse Drug Event Report (JADER) database between April 20...See full text at original site
Dr.Camel IconDr.Camel's Paper Summary Blogラクダ博士について

ラクダ博士は、Health Journal が論文の内容を分かりやすく解説するために作成した架空のキャラクターです。
難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。

* ラクダ博士による解説は、あくまで論文の要点をまとめたものであり、原論文の完全な代替となるものではありません。詳細な内容については、必ず原論文をご参照ください。
* ラクダ博士は架空のキャラクターであり、実際の医学研究者や医療従事者とは一切関係がありません。
* 解説の内容は Health Journal が独自に解釈・作成したものであり、原論文の著者または出版社の見解を反映するものではありません。


引用元:
https://doi.org/10.1248/yakushi.15-00235

データ提供:米国国立医学図書館(NLM)

Unveiling the Risks of Medications During Pregnancy

This study ventures into the delicate world of drug safety during pregnancy, where navigating the desert of potential risks is a constant challenge. The researchers used data from the Japanese Adverse Drug Event Report (JADER) database to analyze adverse drug reactions in pregnant women.

A New Approach to Signal Detection

The researchers developed a method for identifying potential adverse drug reactions in pregnant women, similar to a camel detecting subtle changes in the desert landscape. This method, based on the proportional reporting ratio (PRR) and reporting odds ratio (ROR), proved effective in identifying risks associated with antithyroid drugs and ritodrine.

Navigating the Risks of Pregnancy

This research provides valuable insights for healthcare professionals and pregnant women alike, emphasizing the importance of careful monitoring and risk assessment when it comes to medication use during pregnancy. It is a crucial step towards ensuring the well-being of both mother and child.

Dr.Camel's Conclusion

This study underscores the importance of careful navigation through the desert of potential risks associated with medication use during pregnancy. The research offers valuable insights for minimizing risks and promoting the safety of both mother and child.

Date :
  1. Date Completed 2017-01-09
  2. Date Revised 2017-01-10
Further Info :

Pubmed ID

26935093

DOI: Digital Object Identifier

10.1248/yakushi.15-00235

Related Literature

SNS
PICO Info
in preparation
Languages

Japanese

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

This site uses cookies. Visit our privacy policy page or click the link in any footer for more information and to change your preferences.