Ana Szarfman

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. ncbi 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
    Ana Szarfman
    Office of Biostatistics, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, Maryland 20857, USA
    Drug Saf 25:381-92. 2002
  2. ncbi Atypical antipsychotics and pituitary tumors: a pharmacovigilance study
    Ana Szarfman
    Office of Pharmacoepidemiology and Statistical Sciences, Immediate Office, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland 20993 0002, USA
    Pharmacotherapy 26:748-58. 2006
  3. ncbi An evaluation of a data mining signal for amyotrophic lateral sclerosis and statins detected in FDA's spontaneous adverse event reporting system
    Eric Colman
    Division of Metabolism and Endocrinology Products, United States Food and Drug Administration, Silver Spring, MD 20993, USA
    Pharmacoepidemiol Drug Saf 17:1068-76. 2008
  4. ncbi Pharmacovigilance in the 21st century: new systematic tools for an old problem
    Ana Szarfman
    Pharmacotherapy 24:1099-104. 2004
  5. ncbi Perspectives on the use of data mining in pharmaco-vigilance
    June Almenoff
    GlaxoSmithKline, Research Triangle Park, North Carolina, USA
    Drug Saf 28:981-1007. 2005
  6. ncbi Reply: The evaluation of data mining methods for the simultaneous and systematic detection of safety signals in large databases: lessons to be learned
    Jonathan G Levine
    Br J Clin Pharmacol 61:105-13; author reply 115-7. 2006
  7. ncbi Association between pathologic gambling and parkinsonian therapy as detected in the Food and Drug Administration Adverse Event database
    Ana Szarfman
    Arch Neurol 63:299-300; author reply 300. 2006

Detail Information

Publications7

  1. ncbi 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
    Ana Szarfman
    Office of Biostatistics, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, Maryland 20857, USA
    Drug Saf 25:381-92. 2002
    ..The application of these tools may ultimately improve usage recommendations...
  2. ncbi Atypical antipsychotics and pituitary tumors: a pharmacovigilance study
    Ana Szarfman
    Office of Pharmacoepidemiology and Statistical Sciences, Immediate Office, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland 20993 0002, USA
    Pharmacotherapy 26:748-58. 2006
    ..To analyze the disproportionality of reporting of hyperprolactinemia, galactorrhea, and pituitary tumors with seven widely used antipsychotic drugs...
  3. ncbi An evaluation of a data mining signal for amyotrophic lateral sclerosis and statins detected in FDA's spontaneous adverse event reporting system
    Eric Colman
    Division of Metabolism and Endocrinology Products, United States Food and Drug Administration, Silver Spring, MD 20993, USA
    Pharmacoepidemiol Drug Saf 17:1068-76. 2008
    ..We detected disproportionate reporting of amyotrophic lateral sclerosis (ALS) with HMG-CoA-reductase inhibitors (statins) in the Food and Drug Administration's (FDA) spontaneous adverse event (AE) reporting system (AERS)...
  4. ncbi Pharmacovigilance in the 21st century: new systematic tools for an old problem
    Ana Szarfman
    Pharmacotherapy 24:1099-104. 2004
    ..Validated data mining techniques offer great promise to enhance pharmacovigilance practices...
  5. ncbi Perspectives on the use of data mining in pharmaco-vigilance
    June Almenoff
    GlaxoSmithKline, Research Triangle Park, North Carolina, USA
    Drug Saf 28:981-1007. 2005
    ..The availability of a publicly accessible global safety database, which is updated on a frequent basis, would further enhance detection and communication about safety issues...
  6. ncbi Reply: The evaluation of data mining methods for the simultaneous and systematic detection of safety signals in large databases: lessons to be learned
    Jonathan G Levine
    Br J Clin Pharmacol 61:105-13; author reply 115-7. 2006
  7. ncbi Association between pathologic gambling and parkinsonian therapy as detected in the Food and Drug Administration Adverse Event database
    Ana Szarfman
    Arch Neurol 63:299-300; author reply 300. 2006