CzeekVを用いた解析例について、紹介いたします。

■小児における抗精神病薬に関わる重篤な有害事象

Kimura G, Kadoyama K, Brown JB, Nakamura T, Miki I, Nisiguchi K, Sakaeda T, Okuno Y:
Antipsychotics-Associated Serious Adverse Events in Children: An Analysis of the FAERS Database
Int. J. Med. Sci., 12(2), 135-140 (2015). [Full text]

■シグナル検知された有害事象の特徴

Sakaeda T, Kadoyama K, Minami K, Okuno Y:
Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms
Int. J. Med. Sci., 11(5), 461-465 (2014). [Full text]

■ベイズを用いた初期症状からの薬剤有害事象の検知

Kobayashi D, Hosaka S, Inoue E, Ohshima K, Kutsuma N, Oshima S, Okuno Y:
Quantitative Evaluation of Initial Symptoms as Predictors to Detect Adverse Drug Reactions Using Bayes’Theory: Expansion and Evaluation of Drug-Adverse Drug Reaction–Initial Symptom Combinations Using Adverse Event Reporting System Database
Biol. Pharm. Bull., 36(12), 1891-1901 (2013). [PDF]

■FAERSデータマイニング（レビュー）

Sakaeda T, Tamon A, Kadoyama K, Okuno Y:
Data Mining of the Public Version of the FDA Adverse Event Reporting System
Int. J. Med. Sci., 10(7), 796-803 (2013). [Full text]

■α1アドレナリン受容体遮断薬の有害事象

Yoshimura K, Kadoyama K, Sakaeda T, Sugino Y, Ogawa O, Okuno Y:
A Survey of the FAERS Database Concerning the Adverse Event Profiles of α1-Adrenoreceptor Blockers for Lower Urinary Tract Symptoms
Int. J. Med. Sci., 10(7), 864-869 (2013). [Full text]

■アスピリンとクロピドグレルの出血リスク

Tamura T, Sakaeda T, Kadoyama K, Okuno Y:
Aspirin- and Clopidogrel-associated Bleeding Complications: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS
Int. J. Med. Sci., 9(6), 441-446 (2012). [Full text]

■オメプラゾールとエソメプラゾールの低マグネシウム血症

Tamura T, Sakaeda T, Kadoyama K, Okuno Y:
Omeprazole- and Esomeprazole-associated Hypomagnesaemia: Data Mining of the Public Version of the FDA Adverse Event Reporting System
Int. J. Med. Sci., 9(5), 322-326 (2012). [Full text]

■チゲサイクリンの有害事象

Kadoyama K, Sakaeda T, Tamon A, Okuno Y:
Adverse Event Profile of Tigecycline: Data Mining of the Public Version of the U.S. Food and Drug Administration Adverse Event Reporting System
Biol. Pharm. Bull., 35(6), 967-970 (2012). [PDF]

■白金系抗がん剤の過敏症反応

Sakaeda T, Kadoyama K, Yabuuchi H, Niijima S, Seki K, Shiraishi Y, Okuno Y:
Platinum Agent-Induced Hypersensitivity Reactions: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS
Int. J. Med. Sci., 8(4), 332-338 (2011). [Full text]

■抗がん剤の過敏症反応

Kadoyama K, Kuwahara A, Yamamori M, Brown JB, Sakaeda T, and Okuno Y:
Hypersensitivity reactions to anticancer agents: Data mining of the public version of the FDA adverse event reporting system, AERS
J. Exp. Clin. Cancer Res., 30(1), 93 (2011). [Full text]

■白金系抗がん剤の有害事象

Sakaeda T, Kadoyama K, Okuno Y:
Adverse Event Profiles of Platinum Agents: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations
Int. J. Med. Sci., 8(6), 487-491 (2011). [Full text]

■抗生物質コリスチンの有害事象

栄田敏之，角山香織，多門啓子，奥野恭史:
データマイニング手法によるFDA有害事象自発報告データの活用～コリスチンを例に.
日本化学療法学会雑誌, 59(6), 610-613 (2011). [短報PDF]

■5-FUとカペシタビンの有害事象

Kadoyama K, Miki I, Tamura T, Brown JB, Sakaeda T, Okuno Y:
Adverse Event Profiles of 5-Fluorouracil and Capecitabine: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations
Int. J. Med. Sci., 9(1), 33-39 (2012). [Full text]

■スタチン系薬剤の有害事象

Sakaeda T, Kadoyama K, Okuno Y:
Statin-Associated Muscular and Renal Adverse Events: Data Mining of the Public Version of the FDA Adverse Event Reporting System
PLoS ONE, 6(12): e28124 (2011). [Full text]