Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases

[1]  Y. Kinosada,et al.  Time-to-Onset Analysis of Drug-Induced Long QT Syndrome Based on a Spontaneous Reporting System for Adverse Drug Events , 2016, PloS one.

[2]  Y. Kinosada,et al.  Analysis of Stevens-Johnson syndrome and toxic epidermal necrolysis using the Japanese Adverse Drug Event Report database , 2016, Journal of pharmaceutical health care and sciences.

[3]  Alka M. Dive,et al.  Enigmatic insight into collagen , 2016, Journal of oral and maxillofacial pathology : JOMFP.

[4]  H. Yamada,et al.  A Pharmacovigilance Approach for Post-Marketing in Japan Using the Japanese Adverse Drug Event Report (JADER) Database and Association Analysis , 2016, PloS one.

[5]  Y. Kinosada,et al.  Analysis of licorice‐induced pseudoaldosteronism in the Japanese Adverse Drug Event Report database , 2016 .

[6]  Y. Kinosada,et al.  有害事象自発報告データベース（JADER及びFAERS）を用いた抗がん剤と手足症候群の検討 , 2016 .

[7]  Y. Kinosada,et al.  Analysis of the time-to-onset of osteonecrosis of jaw with bisphosphonate treatment using the data from a spontaneous reporting system of adverse drug events , 2015, Journal of pharmaceutical health care and sciences.

[8]  P. Yildirim,et al.  Association Patterns in Open Data to Explore Ciprofloxacin Adverse Events , 2015, Applied Clinical Informatics.

[9]  M. Mochizuki,et al.  Factors Affecting the Timing of Signal Detection of Adverse Drug Reactions , 2015, PloS one.

[10]  Y. Kinosada,et al.  Analysis of Neuropsychiatric Adverse Events in Patients Treated with Oseltamivir in Spontaneous Adverse Event Reports. , 2015, Biological & pharmaceutical bulletin.

[11]  Y. Kinosada,et al.  Analysis of the Interaction between Clopidogrel, Aspirin, and Proton Pump Inhibitors Using the FDA Adverse Event Reporting System Database. , 2015, Biological & pharmaceutical bulletin.

[12]  Y. Kinosada,et al.  Hyperglycemic adverse events following antipsychotic drug administration in spontaneous adverse event reports , 2015, Journal of pharmaceutical health care and sciences.

[13]  Y. Kinosada,et al.  Evaluation of Dabigatran- and Warfarin-Associated Hemorrhagic Events Using the FDA-Adverse Event Reporting System Database Stratified by Age , 2015, International journal of medical sciences.

[14]  C. Yasuda,et al.  The association between periodontal disease and seizure severity in refractory epilepsy patients , 2014, Seizure.

[15]  F. Haramburu,et al.  Estimating time-to-onset of adverse drug reactions from spontaneous reporting databases , 2014, BMC Medical Research Methodology.

[16]  E. Fu,et al.  Crosstalk between Shh and TGF-β Signaling in Cyclosporine-Enhanced Cell Proliferation in Human Gingival Fibroblasts , 2013, PloS one.

[17]  M. Molokhia,et al.  Illustration of the Weibull Shape Parameter Signal Detection Tool Using Electronic Healthcare Record Data , 2013, Drug Safety.

[18]  Fabrizio De Ponti,et al.  Data Mining Techniques in Pharmacovigilance: Analysis of the Publicly Accessible FDA Adverse Event Reporting System (AERS) , 2012 .

[19]  Carol Friedman,et al.  Mining multi-item drug adverse effect associations in spontaneous reporting systems , 2010, BMC Bioinformatics.

[20]  Kurt Hornik,et al.  Introduction to arules – A computational environment for mining association rules and frequent item sets , 2009 .

[21]  A. Dongari-Bagtzoglou.  Informational Paper: Drug-Associated Gingival Enlargement. , 2004, Journal of periodontology.

[22]  Michael Seidenberg,et al.  The Relative Impact of Anxiety, Depression, and Clinical Seizure Features on Health‐related Quality of Life in Epilepsy , 2004, Epilepsia.

[23]  G. Castronovo,et al.  [Risk factors conditioning the incidence and severity of cyclosporine A-induced gingival overgrowth and methods of prevention]. , 2004, Minerva stomatologica.

[24]  R. Seymour,et al.  Cardiovascular diseases and periodontology. , 2003, Journal of clinical periodontology.

[25]  R. Seymour,et al.  Risk factors for drug-induced gingival overgrowth. , 2000, Journal of clinical periodontology.

[26]  H. Martelli Júnior,et al.  Cyclosporin A inhibits production and activity of matrix metalloproteinases by gingival fibroblasts. , 2000, Journal of periodontal research.

[27]  A. Dongari-Bagtzoglou,et al.  Regulation of gingival fibroblast interleukin-6 secretion by cyclosporine A. , 1999, Journal of periodontology.

[28]  L. Montebugnoli,et al.  Cyclosporin A effects on extra oral connective tissue in heart transplanted patients. , 1999, Journal of the International Academy of Periodontology.

[29]  C. Irwin,et al.  Cyclosporin A regulates interleukin-1beta and interleukin-6 expression in gingiva: implications for gingival overgrowth. , 1999, Journal of periodontology.

[30]  E. K. Miller,et al.  Cyclosporine A upregulates interleukin-6 gene expression in human gingiva: possible mechanism for gingival overgrowth. , 1994, Journal of periodontology.

[31]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[32]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[33]  R. Seymour,et al.  Gingival sequestration of nifedipine in nifedipine-induced gingival overgrowth , 1992, The Lancet.

[34]  B. Berman,et al.  Stimulation of collagen and glycosaminoglycan production in cultured human adult dermal fibroblasts by recombinant human interleukin 6. , 1991, The Journal of investigative dermatology.

[35]  R. Page,et al.  Diphenylhydantoin (dilantin) gingival hyperplasia: drug-induced abnormality of connective tissue. , 1976, Proceedings of the National Academy of Sciences of the United States of America.

[36]  Y. Kinosada,et al.  [Evaluation of the Association of Hand-Foot Syndrome with Anticancer Drugs Using the US Food and Drug Administration Adverse Event Reporting System (FAERS) and Japanese Adverse Drug Event Report (JADER) Databases]. , 2016, Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan.

[37]  Y. Kinosada,et al.  [Evaluation of the association between the use of oral anti-hyperglycemic agents and hypoglycemia in Japan by data mining of the Japanese Adverse Drug Event Report (JADER) database]. , 2014, Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan.

[38]  保臣 紀ノ定,et al.  日本国内の有害事象自発報告データベース（JADER）を用いたデータマイニングによる経口血糖降下薬と低血糖症との関連性の評価 , 2014 .

[39]  J. Handa,et al.  2. Comparison of the Onset Time Profile among the Interferon Formulations in Adverse Drug Reaction of Suicide- or Diabetes-Related , 2014 .

[40]  Tze-Yun Leong,et al.  Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach , 2003, AMIA.

[41]  R. B. Johnson,et al.  Synergistic enhancement of collagenous protein synthesis by human gingival fibroblasts exposed to nifedipine and interleukin-1-beta in vitro. , 2000, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.