Elisavet Syriopoulou

Elisavet Syriopoulou

Assistant Professor
Visiting address: Nobels väg 7, 17165 Solna
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB II Andersson, 171 77 Stockholm

About me

  • I am a biostatistician working within the area of survival analysis and in particular on the development and application of statistical methods for cancer registry data.

    My research focuses on statistical methods for understanding the underlying determinants that drive cancer inequalities in terms of survival as well as methods for improving communication of complex cancer statistics. This involves extensions of causal mediation analysis and developments in life expectancy measures for summarising the cancer prognosis.

    I am the primary supervisor for PhD student Jonatan Hedberg, whose research focuses on developing statistical methods to address missing tumour stage data in survival analysis, particularly in the presence of time-varying effects.

    Additionally, I am a co-supervisor for two other PhD students:

    • Anna Oksanen: Anna's project investigates the loss of life expectancy among patients with malignant melanoma, with a focus on sex differences.
    • Emma Söreskog: Emma's project explores how register data can be utilized for health economic analysis of cancer treatment and prevention. This includes studies on how external data (beyond RCTs) can improve the extrapolation of survival in health economic evaluations.

Teaching

  • I have been involved in teaching and course organising of:

    • Survival analysis (Biostat III), within the Doctoral Programme in Epidemiology
    • Biostatistics, Masters programme for Molecular Techniques in the Life Sciences
    • Statistical Methods for Population-based Cancer Survival, a 1-week course as part of the Summer School on Modern Methods in Biostatistics and Epidemiology at Treviso, Italy
    • Cancer epidemiology, Masters programme for Public Health Epidemiology
    • Causal inference and competing events lectures

Articles

All other publications

Grants

  • Swedish Research Council for Health Working Life and Welfare
    1 January 2025 - 31 December 2027
    Research problem and specific questionsHealth economic evaluations constitute an important basis for decisions on the reimbursement and use of oncology drugs in Sweden. At the time of decision there is high degree of uncertainty in survival effects from a lifetime perspective, which needs to be predicted from clinical trials with short follow-up time.The project aim is to investigate the accuracy in health economic evaluations in the assessment of oncology drugs and to investigate how these evaluations can be improved to guide decisions on the reimbursement and use of these drugs. The research questions are:how accurate are long-term survival predictions for oncology drugs compared to outcomes in clinical practice?how can relevant information outside the clinical trial and statistical methods be used to improve survival predictions of oncology drugs in health economic evaluations?Data and methodA database with longitudinal data from Swedish registries is used to answer the research questions. Question 1 is answered by studying long-term survival in clinical practice in cancer patients who have used drugs previously assessed by the Dental and Pharmaceuticals benefits agency (TLV) to inform decisions on the reimbursement or use of drugs at hospitals as recommended by the New Therapies Council (NT-Rådet). At the time of the decision the predicted long-term survival effect of the drug will be compared to the long-term survival effect in clinical practice. Question 2 is answered by validating two statistical methods which use external data outside the clinical trial.Societal relev,ance and utilisationThe project contributes to improving health economic evaluations supporting decisions on the reimbursement and use of oncology drugs in Sweden. This benefits TLV, NT-rådet, and the health care system and will increase the opportunity to attain the highest level of health benefits for limited resources in society. The project results will be published in scientific journals and will be presented on seminars at NT-rådet and TLV, which will support the dissemination of the results of the project to a wider community, authorities and healthcare providers.Plan for project realisationThe project is part of a doctoral project and will be conducted in collaboration with TLV and between three research groups at Karolinska Institutet, providing extensive experience in health economic evaluation, biostatistics and cancer survival, and strong clinical experience in oncology.
  • Swedish Research Council
    1 January 2024 - 31 December 2026
    The prognosis following a diagnosis of cancer, or other diseases, is often measured using survival proportions. Recently, however, there has been an increased interest in presenting other measures of patient survival, that are easier to interpret and can give a better understanding of the impact a diagnosis has on an individual’s life span. I have previously developed such methods, namely methods for estimating the life expectancy for cancer patients and the loss in life expectancy (LLE) compared to cancer-free individuals. To further enhance the usefulness of the measures, further extensions are needed. The aim of this project is to further develop and apply the methods, specifically toCombine causal mediation analysis and LLE to quantify the impact of potential drivers of socioeconomic differences in survivalIncorporate uncertainty in general population mortality in the estimation of LLEInvestigate assumptions in survival extrapolation for estimation of LLEThe developed methods will be applied to cancer registry data, to answer research questions of clinical and public health importance. For example, to investigate socioeconomic inequalities in survival of patients with malignant melanoma and colorectal cancer, to estimate the LLE for hematological cancers with an indolent disease course, as well as for patients diagnosed with malignant melanoma at a young age. The methods have potential to be used also in other disease areas.
  • Swedish Research Council for Health Working Life and Welfare
    1 January 2023 - 31 December 2024
  • Inequalities in cancer prognosis across socioeconomic groups and how these arise
    Karolinska Institutet Research Grants 2021-2023
    1 January 2022 - 31 December 2023

Employments

  • Assistant Professor, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2023-2029

Degrees and Education

  • PhD in Biostatistics, Department of Population Health Sciences, University of Leicester, 2020
  • MSc in Biostatistics, National and Kapodistrian University of Athens, 2015
  • BSc in Mathematics, University of Patras, 2012

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