BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

584 related articles for article (PubMed ID: 28130773)

  • 21. Fighting trafficking of falsified and substandard medicinal products in Russia.
    Fayzrakhmanov NF
    Int J Risk Saf Med; 2015; 27 Suppl 1():S37-40. PubMed ID: 26639702
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Adverse Drug Reaction Reporting in Africa and a Comparison of Individual Case Safety Report Characteristics Between Africa and the Rest of the World: Analyses of Spontaneous Reports in VigiBase®.
    Ampadu HH; Hoekman J; de Bruin ML; Pal SN; Olsson S; Sartori D; Leufkens HG; Dodoo AN
    Drug Saf; 2016 Apr; 39(4):335-45. PubMed ID: 26754924
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Towards Automating Adverse Event Review: A Prediction Model for Case Report Utility.
    Muñoz MA; Dal Pan GJ; Wei YJ; Delcher C; Xiao H; Kortepeter CM; Winterstein AG
    Drug Saf; 2020 Apr; 43(4):329-338. PubMed ID: 31912439
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of an empiric Bayesian data mining algorithm to reports of pancreatitis associated with atypical antipsychotics.
    Hauben M
    Pharmacotherapy; 2004 Sep; 24(9):1122-9. PubMed ID: 15460172
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Analysis of the nervous system and gastrointestinal adverse events associated with solifenacin in older adults using the US FDA adverse event reporting system.
    Nicholls C; Chyou TY; Nishtala PS
    Int J Risk Saf Med; 2023; 34(1):63-73. PubMed ID: 35491805
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Adverse events with sodium-glucose co-transporter-2 inhibitors: A global analysis of international spontaneous reporting systems.
    Raschi E; Parisotto M; Forcesi E; La Placa M; Marchesini G; De Ponti F; Poluzzi E
    Nutr Metab Cardiovasc Dis; 2017 Dec; 27(12):1098-1107. PubMed ID: 29174026
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.
    Pierce CE; Bouri K; Pamer C; Proestel S; Rodriguez HW; Van Le H; Freifeld CC; Brownstein JS; Walderhaug M; Edwards IR; Dasgupta N
    Drug Saf; 2017 Apr; 40(4):317-331. PubMed ID: 28044249
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.
    Almenoff JS; LaCroix KK; Yuen NA; Fram D; DuMouchel W
    Drug Saf; 2006; 29(10):875-87. PubMed ID: 16970511
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Potential use of data-mining algorithms for the detection of 'surprise' adverse drug reactions.
    Hauben M; Horn S; Reich L
    Drug Saf; 2007; 30(2):143-55. PubMed ID: 17253879
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database.
    Szarfman A; Machado SG; O'Neill RT
    Drug Saf; 2002; 25(6):381-92. PubMed ID: 12071774
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Disproportionality Analysis for Pharmacovigilance Signal Detection in Small Databases or Subsets: Recommendations for Limiting False-Positive Associations.
    Caster O; Aoki Y; Gattepaille LM; Grundmark B
    Drug Saf; 2020 May; 43(5):479-487. PubMed ID: 32008183
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Statistical and graphical approaches for disproportionality analysis of spontaneously-reported adverse events in pharmacovigilance.
    Zink RC; Huang Q; Zhang LY; Bao WJ
    Chin J Nat Med; 2013 May; 11(3):314-20. PubMed ID: 23725848
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A prediction model-based algorithm for computer-assisted database screening of adverse drug reactions in the Netherlands.
    Scholl JHG; van Hunsel FPAM; Hak E; van Puijenbroek EP
    Pharmacoepidemiol Drug Saf; 2018 Feb; 27(2):199-205. PubMed ID: 29271017
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Risk Factor Considerations in Statistical Signal Detection: Using Subgroup Disproportionality to Uncover Risk Groups for Adverse Drug Reactions in VigiBase.
    Sandberg L; Taavola H; Aoki Y; Chandler R; Norén GN
    Drug Saf; 2020 Oct; 43(10):999-1009. PubMed ID: 32564242
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Monitoring the manufacturing and quality of medicines: a fundamental task of pharmacovigilance.
    Sardella M; Belcher G; Lungu C; Ignoni T; Camisa M; Stenver DI; Porcelli P; D'Antuono M; Castiglione NG; Adams A; Furlan G; Grisoni I; Hall S; Boga L; Mancini V; Ciuca M; Chonzi D; Edwards B; Mangoni AA; Tuccori M; Prokofyeva E; De Gregorio F; Bertazzoli Grabinski Broglio M; van Leeuwen B; Kruger P; Rausch C; Le Louet H
    Ther Adv Drug Saf; 2021; 12():20420986211038436. PubMed ID: 34394910
    [TBL] [Abstract][Full Text] [Related]  

  • 36. An analysis of the trends, characteristics, scope, and performance of the Zimbabwean pharmacovigilance reporting scheme.
    Masuka JT; Khoza S
    Pharmacol Res Perspect; 2020 Oct; 8(5):e00657. PubMed ID: 32930524
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Atypical antipsychotics and pituitary tumors: a pharmacovigilance study.
    Szarfman A; Tonning JM; Levine JG; Doraiswamy PM
    Pharmacotherapy; 2006 Jun; 26(6):748-58. PubMed ID: 16716128
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Safety Concerns Reported by Patients Identified in a Collaborative Signal Detection Workshop using VigiBase: Results and Reflections from Lareb and Uppsala Monitoring Centre.
    Watson S; Chandler RE; Taavola H; Härmark L; Grundmark B; Zekarias A; Star K; van Hunsel F
    Drug Saf; 2018 Feb; 41(2):203-212. PubMed ID: 28933055
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A real-world disproportionality analysis of FDA Adverse Event Reporting System (FAERS) events for baricitinib.
    Peng L; Xiao K; Ottaviani S; Stebbing J; Wang YJ
    Expert Opin Drug Saf; 2020 Nov; 19(11):1505-1511. PubMed ID: 32693646
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Data mining for adverse drug reaction signals of daptomycin based on real-world data: a disproportionality analysis of the US Food and Drug Administration adverse event reporting system.
    Chen JJ; Huo XC; Wang SX; Wang F; Zhao Q
    Int J Clin Pharm; 2022 Dec; 44(6):1351-1360. PubMed ID: 36178607
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 30.