This year our team has generated more than 50 publications, and the Division Chief authored more than 25 papers in peer review journals.

We are extraordinarily proud of publishing papers in two top scientific journals this year. This is the first time a USF faculty member has had papers published in both journals in the same year.

  1. Djulbegovic B, Kumar A, Glasziou P, Miladinovic B, Chalmers I. Trial unpredictability yields predictable therapy gains. Nature 2013;500:395-396
    Scored top 5% of articles by attention
  2. Bennett C, Djulbegovic B, Norris L, Armitage JO. Colony-Stimulating Factors for Febrile Neutropenia in the Cancer Setting. N Engl J Med 2013;368:1131-9.
    This article defines medical standards in the field, and in turn influences practice patterns more than any other types of publication.

Methodological papers of importance for the field of evidence-based medicine and decision-making

  1. Djulbegovic B, Hozo I, Beckstead J, Tsalatsanis A, Pauker SG. Dual processing model of medical decision-making. BMC Medical Informatics and Decision Making.2012, 12:94. 
    This paper describes a novel model of medical decision-making and is selected by the Editorial Board of the 2013 IMIA (International Medical Informatics Association) Yearbook of Medical Informatics “for listing in the Yearbook as one of the best articles from the literature in medical informatics published in the past year”
  2. Mann H, Djulbegovic B. Comparator bias: why comparisons must address genuine uncertainties. J R Soc Med 2013: 106:30-33
    Helps doctors and researchers understand how to select best comparator and spot the design of the studies when inferior comparators in clinical studies were used
  3. Ioannidis JPA, Hozo I, Djulbegovic B. Optimal type I and II error pairs when the available sample size is fixed. J Clin Epidem 2013; May 9. pii: S0895-4356(13)00088-7. doi: 10.1016/j.jclinepi.2013.03.002. [Epub ahead of print]
    Considered as a major methodological breakthrough for studying rare diseases
  4. Miladinovic B, Kumar A, Hozo I, Mhaskar R, Mahony H, and Djulbegovic B. Optimal information size in trial sequential analysis of time-to-event outcomes reveals potentially inconclusive results due to the risk of random error. Journal of Clinical Epidemiology 2013; PMID: 23403248
    Important methodological advances for research synthesis field and design and interpretation of clinical research.
  5. Veenstra DL, Piper M, Haddow JE, Pauker SG, Klein R, Richards CS, Tunis SR, Djulbegovic B, et al: Improving the efficiency and relevance of evidence-based recommendations in the era of whole-genome sequencing: an EGAPP methods update. Genet Med. 2013 Jan;15(1):14-24
    This paper describes the state of art methods for developing studies for personalized medicine. It consists of the leading experts around the country in genomics and EBM and is run by CDC. It is great privilege and honor to be invited to participate in this group