Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Elisabetta Patorno, Dr.P.H., M.D.


This page shows the publications co-authored by Elisabetta Patorno and Shirley Wang.
Connection Strength

  1. Transparency in real-world evidence (RWE) studies to build confidence for decision-making: Reporting RWE research in diabetes. Diabetes Obes Metab. 2020 04; 22 Suppl 3:45-59.
    View in: PubMed
    Score: 0.904
  2. A General Propensity Score for Signal Identification Using Tree-Based Scan Statistics. Am J Epidemiol. 2021 07 01; 190(7):1424-1433.
    View in: PubMed
    Score: 0.247
  3. A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes. Endocrinol Diabetes Metab. 2021 Jul; 4(3):e00237.
    View in: PubMed
    Score: 0.243
  4. Data Mining for Adverse Drug Events With a Propensity Score-matched Tree-based Scan Statistic. Epidemiology. 2018 11; 29(6):895-903.
    View in: PubMed
    Score: 0.205
  5. Initiation patterns of statin therapy among adult patients undergoing intermediate to high-risk non-cardiac surgery. Pharmacoepidemiol Drug Saf. 2016 Jan; 25(1):64-72.
    View in: PubMed
    Score: 0.166
  6. Patterns of ß-blocker initiation in patients undergoing intermediate to high-risk noncardiac surgery. Am Heart J. 2015 Oct; 170(4):812-820.e6.
    View in: PubMed
    Score: 0.163
  7. Risk Factors for Heart Failure with Preserved or Reduced Ejection Fraction Among Medicare Beneficiaries: Application of Competing Risks Analysis and Gradient Boosted Model. Clin Epidemiol. 2020; 12:607-616.
    View in: PubMed
    Score: 0.057
  8. Development and Preliminary Validation of a Medicare Claims-Based Model to Predict Left Ventricular Ejection Fraction Class in Patients With Heart Failure. Circ Cardiovasc Qual Outcomes. 2018 12; 11(12):e004700.
    View in: PubMed
    Score: 0.052
  9. Opioid Overdose After Surgical Discharge. JAMA. 2018 Aug 07; 320(5):502-504.
    View in: PubMed
    Score: 0.050
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.