Detecting drug-drug interaction signal of concomitant use of tramadol and SSRI using Korea adverse event reporting system database

被引：0
|
作者：
Won, HeHyun [1 ]
Choi, HyunYoung [2 ]
Jeong, Na-Young [1 ]
Choi, Nam-Kyong [1 ]
机构：
[1] Ewha Womans Univ, Dept Hlth Convergence, Coll Sci & Ind Convergence, Seoul, South Korea
[2] Ewha Womans Univ, Dept Ind Pharmaceut Sci, Coll Pharm, Seoul, South Korea
来源：
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY | 2021年 / 30卷
关键词：
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
引用
收藏
页码：190 / 190
页数：1
相关论文
共 50 条
  • [41] Identifying Adverse Drug Reactions Associated with Drug-Drug Interactions Data Mining of a Spontaneous Reporting Database in Italy
    Leone, Roberto
    Magro, Lara
    Moretti, Llgo
    Cutroneo, Paola
    Moschini, Martina
    Motola, Domenico
    Tuccori, Marco
    Conforti, Anita
    DRUG SAFETY, 2010, 33 (08) : 667 - 675
  • [42] Serious adverse drug reactions identified as Drug-Drug interactions by the French spontaneous reporting system
    Letinier, L.
    Ferreira, A.
    Pageot, C.
    Babin, M.
    Micallef, J.
    Miremont, G.
    Pariente, A.
    FUNDAMENTAL & CLINICAL PHARMACOLOGY, 2019, 33 : 32 - 32
  • [43] Detecting drug-drug interactions that increase the incidence of long QT syndrome using a spontaneous reporting system
    Matsuo, Jun
    Yamaori, Satoshi
    JOURNAL OF CLINICAL PHARMACY AND THERAPEUTICS, 2022, 47 (01) : 70 - 80
  • [44] Exploring the Mechanisms Underlying Drug-Induced Fractures Using the Japanese Adverse Drug Event Reporting Database
    Toriumi, Shinya
    Kobayashi, Akinobu
    Sueki, Hitoshi
    Yamamoto, Munehiro
    Uesawa, Yoshihiro
    PHARMACEUTICALS, 2021, 14 (12)
  • [45] Concomitant use of proton pump inhibitors and metabolically competing drugs, and the risk of drug-drug interaction induced adverse events
    McLaughlin, TP
    Yazdani, C
    Okamoto, LJ
    Tedeschi, M
    GASTROENTEROLOGY, 2001, 120 (05) : A402 - A402
  • [46] Detecting drug–herbal interaction using a spontaneous reporting system database: an example with benzylpenicillin and qingkailing injection
    Haona Li
    Jianxiong Deng
    Zhihua Yue
    Yiexiang Zhang
    He Sun
    European Journal of Clinical Pharmacology, 2015, 71 : 1139 - 1145
  • [47] Signal Detection of Imipenem Compared to Other Drugs from Korea Adverse Event Reporting System Database
    Park, Kyounghoon
    Soukavong, Mick
    Kim, Jungmee
    Kwon, Kyoung-eun
    Jin, Xue-mei
    Lee, Joongyub
    Yang, Bo Ram
    Park, Byung-Joo
    YONSEI MEDICAL JOURNAL, 2017, 58 (03) : 564 - 569
  • [48] A Bayesian method to detect drug-drug interaction using external information for spontaneous reporting system
    Tada, Keisuke
    Maruo, Kazushi
    Gosho, Masahiko
    STATISTICS IN MEDICINE, 2024, 43 (18) : 3353 - 3363
  • [49] Propensity score-adjusted three-component mixture model for drug-drug interaction data mining in FDA Adverse Event Reporting System
    Wang, Xueying
    Li, Lang
    Wang, Lei
    Feng, Weixing
    Zhang, Pengyue
    STATISTICS IN MEDICINE, 2020, 39 (07) : 996 - 1010
  • [50] Adverse reaction profiles of hemorrhagic adverse reactions caused by direct oral anticoagulants analyzed using the Food and Drug Administration Adverse Event Reporting System (FAERS) database and the Japanese Adverse Drug Event Report (JADER) database
    Shimada, Kazuyo
    Hasegawa, Shiori
    Nakao, Satoshi
    Mukai, Ririka
    Sasaoka, Sayaka
    Ueda, Natsumi
    Kato, Yamato
    Abe, Junko
    Mori, Takayuki
    Yoshimura, Tomoaki
    Kinosada, Yasutomi
    Nakamura, Mitsuhiro
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2019, 16 (09): : 1295 - 1303
12345