Skip to main content
SpringerLink
Log in

Comment on: “Desideratum for Evidence-Based Epidemiology”

  • Letter to the Editor
  • Published:
Drug Safety Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Overhage JM, Ryan PB, Schuemie MJ, Stang PE. Desideratum for evidence based epidemiology. Drug Saf. 2013;36(Suppl 1):S5–14.

    Article  PubMed  Google Scholar 

  2. Peng RD, Dominici F, Zeger SL. Reproducible epidemiologic research. Am J Epidemiol. 2006;163:783–9.

    Article  PubMed  Google Scholar 

  3. Amir Y, Sharon I. Replication research: a “must” for the scientific advancement of psychology. J Soc Behav Pers. 1990;5:51–69.

    Google Scholar 

  4. McCullough BD. Open access economics journals and the market for reproducible economic research. Econ Anal Policy. 2009;39:117–26.

    Article  Google Scholar 

  5. Collins FS, Tabak LA. Policy: NIH plans to enhance reproducibility. Nature. 2014;505:612–3.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Casadevall A, Fang FC. Reproducible science. Infect Immun. 2010;78:4972–5.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  7. Janssen P, Enright AJ, Audit B, Cases I, Goldovsky L, Harte N, Kunin V, Ouzounis CA. COmplete GENome Tracking (COGENT): a flexible data environment for computational genomics. Bioinformatics. 2003;19:1451–2.

    Article  CAS  PubMed  Google Scholar 

  8. Peng RD. Reproducible research in computational science. Science. 2011;334:1226–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.

    Article  PubMed  Google Scholar 

  10. Juni P, Altman DG, Egger M. Systematic reviews in health care: assessing the quality of controlled clinical trials. BMJ. 2001;323:42–6.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  11. Chalmers TC, Berrier J, Sacks HS, Levin H, Reitman D, Nagalingam R. Meta-analysis of clinical trials as a scientific discipline. II: replicate variability and comparison of studies that agree and disagree. Stat Med. 1987;6:733–44.

    Article  CAS  PubMed  Google Scholar 

  12. Ryan PB, Schuemie MJ, Welebob E, Duke J, Valentine S, Hartzema AG. Defining a reference set to support methodological research in drug safety. Drug Saf. 2013;36(Suppl 1):S33–47.

    Article  PubMed  Google Scholar 

  13. Ryan PB, Madigan D, Stang PE, Overhage JM, Racoosin JA, Hartzema AG. Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership. Stat Med. 2012;31:4401–15.

    Article  PubMed  Google Scholar 

  14. Schelleman H, Bilker WB, Brensinger CM, Wan F, Yang YX, Hennessy S. Fibrate/statin initiation in warfarin users and gastrointestinal bleeding risk. Am J Med. 2010;123:151–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  15. Raiford DS, Perez Gutthann S, Garcia Rodriguez LA. Positive predictive value of ICD-9 codes in the identification of cases of complicated peptic ulcer disease in the Saskatchewan hospital automated database. Epidemiology. 1996;7:101–4.

    Article  CAS  PubMed  Google Scholar 

  16. Cattaruzzi C, Troncon MG, Agostinis L, Garcia Rodriguez LA. Positive predictive value of ICD-9th codes for upper gastrointestinal bleeding and perforation in the Sistema Informativo Sanitario Regionale database. J Clin Epidemiol. 1999;52:499–502.

    Article  CAS  PubMed  Google Scholar 

  17. Metcalfe A, Neudam A, Forde S, Liu M, Drosler S, Quan H, Jette N. Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates. Health Serv Res. 2013;48:290–318.

    Article  PubMed  Google Scholar 

  18. Waikar SS, Wald R, Chertow GM, Curhan GC, Winkelmayer WC, Liangos O, Sosa MA, Jaber BL. Validity of international classification of diseases, ninth revision, clinical modification codes for acute renal failure. J Am Soc Nephrol. 2006;17:1688–94.

    Article  PubMed  Google Scholar 

  19. Waikar SS, Curhan GC, Wald R, McCarthy EP, Chertow GM. Declining mortality in patients with acute renal failure, 1988 to 2002. J Am Soc Nephrol. 2006;17:1143–50.

    Article  PubMed  Google Scholar 

  20. Liangos O, Wald R, O’Bell JW, Price L, Pereira BJ, Jaber BL. Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Am Soc Nephrol. 2006;1:43–51.

    Article  PubMed  Google Scholar 

  21. Wald R, Liangos O, Waikar SS, Pereira BJG, Jaber BL. The identification of patients with acute renal failure (ARF) using administrative data: a validation study [abstract]. J Am Soc Nephrol. 2005;16:F-PO1031.

    Google Scholar 

  22. Vlasschaert ME, Bejaimal SA, Hackam DG, Quinn R, Cuerden MS, Oliver MJ, Iansavichus A, Sultan N, Mills A, Garg AX. Validity of administrative database coding for kidney disease: a systematic review. Am J Kidney Dis. 2011;57:29–43.

    Article  PubMed  Google Scholar 

  23. Lo Re V 3rd, Haynes K, Goldberg D, Forde KA, Carbonari DM, Leidl KB, Hennessy S, Reddy KR, Pawloski PA, Daniel GW, Cheetham TC, Iyer A, Coughlin KO, Toh S, Boudreau DM, Selvam N, Cooper WO, Selvan MS, VanWormer JJ, Avigan MI, Houstoun M, Zornberg GL, Racoosin JA, Shoaibi A. Validity of diagnostic codes to identify cases of severe acute liver injury in the US Food and Drug Administration’s Mini-Sentinel Distributed Database. Pharmacoepidemiol Drug Saf. 2013;22:861–72.

    Article  PubMed  Google Scholar 

  24. Hansen RA, Gray MD, Fox BI, Hollingsworth JC, Gao J, Zeng P. How well do various health outcome definitions identify appropriate cases in observational studies? Drug Saf. 2013;36(Suppl 1):S27–32.

    Article  PubMed  Google Scholar 

  25. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008.

    Google Scholar 

  26. Maclure M, Fireman B, Nelson JC, Hua W, Shoaibi A, Paredes A, Madigan D. When should case-only designs be used for safety monitoring of medical products? Pharmacoepidemiol Drug Saf. 2012;21(Suppl 1):50–61.

    Article  PubMed  Google Scholar 

  27. Brookhart MA, Wang PS, Solomon DH, Schneeweiss S. Instrumental variable analysis of secondary pharmacoepidemiologic data. Epidemiology. 2006;17:373–4.

    Article  PubMed  Google Scholar 

  28. Yu M, Xie D, Wang X, Weiner MG, Tannen RL. Prior event rate ratio adjustment: numerical studies of a statistical method to address unrecognized confounding in observational studies. Pharmacoepidemiol Drug Saf. 2012;21(Suppl 2):60–8.

    Article  PubMed  Google Scholar 

  29. Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009;20:512–22.

    Article  PubMed Central  PubMed  Google Scholar 

  30. Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11:550–60.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

No sources of funding were used to assist in the preparation of this letter.

Conflict of interest

Sean Hennessy and Charles E. Leonard are collaborators in the Mini-Sentinel pilot project sponsored by the United States Food and Drug Administration (FDA) and coordinated by Harvard Pilgrim Health Care Institute (HPHCI). The views expressed herein are their own and may not represent the views of Mini-Sentinel, HPHCI, or FDA.

Author information

Authors and Affiliations

  1. Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Sean Hennessy & Charles E. Leonard

Authors
  1. Sean Hennessy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Charles E. Leonard
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Charles E. Leonard.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hennessy, S., Leonard, C.E. Comment on: “Desideratum for Evidence-Based Epidemiology”. Drug Saf 38, 101–103 (2015). https://doi.org/10.1007/s40264-014-0252-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40264-014-0252-x

Keywords

Search

Navigation