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Journal Abstract Search
183 related items for PubMed ID: 19236120
41. 'Extreme duplication' in the US FDA Adverse Events Reporting System database. Hauben M, Reich L, DeMicco J, Kim K. Drug Saf; 2007; 30(6):551-4. PubMed ID: 17536881 [No Abstract] [Full Text] [Related]
47. Pediatric Drug Safety Surveillance in FDA-AERS: A Description of Adverse Events from GRiP Project. de Bie S, Ferrajolo C, Straus SM, Verhamme KM, Bonhoeffer J, Wong IC, Sturkenboom MC, GRiP network. PLoS One; 2015; 10(6):e0130399. PubMed ID: 26090678 [Abstract] [Full Text] [Related]
48. An Algorithm to Identify Generic Drugs in the FDA Adverse Event Reporting System. Iyer G, Marimuthu SP, Segal JB, Singh S. Drug Saf; 2017 Sep; 40(9):799-808. PubMed ID: 28593504 [Abstract] [Full Text] [Related]
49. Quality assessment of spontaneous triggered adverse event reports received by the Food and Drug Administration. Brajovic S, Piazza-Hepp T, Swartz L, Dal Pan G. Pharmacoepidemiol Drug Saf; 2012 Jun; 21(6):565-70; discussion 571-2. PubMed ID: 22359404 [Abstract] [Full Text] [Related]
53. A Pharmacovigilance Signaling System Based on FDA Regulatory Action and Post-Marketing Adverse Event Reports. Hoffman KB, Dimbil M, Tatonetti NP, Kyle RF. Drug Saf; 2016 Jun; 39(6):561-75. PubMed ID: 26946292 [Abstract] [Full Text] [Related]
56. Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS). Rahman MM, Alatawi Y, Cheng N, Qian J, Peissig PL, Berg RL, Page DC, Hansen RA. Clin Drug Investig; 2017 Dec; 37(12):1143-1152. PubMed ID: 28933038 [Abstract] [Full Text] [Related]
58. Data mining in pharmacovigilance--detecting the unexpected: the role of index of suspicion of the reporter. Sundström A, Hallberg P. Drug Saf; 2009 Dec; 32(5):419-27. PubMed ID: 19419236 [Abstract] [Full Text] [Related]