Giola Santoni

Giola Santoni

Statistician | Docent
Visiting address: Blombäcks väg 23, plan 4, 17177 Stockholm
Postal address: K1 Molekylär medicin och kirurgi, K1 MMK Övre GI-kirurgi, 171 77 Stockholm

About me

  • I am a biostatistician at the Upper Gastrointestinal Surgery group at MMK.

    I have a background in engineering and statistics.

    I received a PhD in Mechanical Engineering and a certificate in 
    Applied Statistics from the University of South Carolina, USA. I also
    obtained a PhD in Epidemiology from Karolinska Institutet.

    I received from the University of South Carolina, USA the Outstanding Dissertation Award for 
    Mathematics, Physical Sciences and Engineering.

Research

  • I am involved in research studies, collaborating with researchers on
    statistical analyses, methodological developments in survival data analysis,
    and guiding PhD students with methodological aspects of their research
    projects.

Teaching

  • 2020-2025: Study Design in Clinical Research - KI course 2980 (Course 
    director and teacher)
    2018-2025: Research School for Clinicians in Epidemiology. Biostatistics 1,  
    2, 3, 4. Laboratories
    2018: Geriatric epidemiology: Health assessments in old ages: Measurements
    of health in aging
    2015, 2017: Application of Epidemiological Approaches to Aging Research

Articles

All other publications

Grants

  • Swedish Research Council
    1 January 2023 - 31 December 2025
    AimsTo clarify if long-term proton pump inhibitor (PPI) medication increases risk of developing gastric cancer. BackgroundPPI-use is very common, but long-term use might cause gastric cancer. Gastric cancer is linked with Helicobacter pylori-infection and is one of the most common and deadly tumours globally. The literature examining PPI-use in relation to risk of gastric cancer has had too short follow-up, too low statistical power and too much problems with bias by selection and confounding to provide conclusive results. MethodsWe will conduct a population-based case-control study in all 5 Nordic countries in 1994-2022. The drug registries allow assessment of long-term PPI-use. 47,000 cases with gastric cancer will be compared with 10 times as many (470,000) population controls, matched by confounding variables. This project offers excellent statistical power, length and completeness of follow-up, and quality of data on exposures, outcomes and confounders. The work will be completed within 3 years.   SignificanceThis planned project is the first with all prerequisites to provide a robust and valid answer to the question if long-term PPI-use increases the risk of gastric cancer. The results may lead to clinical actions, e.g., avoidance of PPI-use in patients with heredity for gastric cancer, endoscopic surveillance in patients at an increased risk of gastric cancer who still need PPI-therapy, and test for and eradicate Helicobacter pylori in patients who need PPI.
  • Prediction of conditional survival after surgery for oesophageal cancer
    Karolinska Institutet
    1 January 2021
  • The risk of oesophageal adenocarcinoma after eradication treatment of Helicobacter pylori
    Sjöbergstiftelsen
    1 January 2021
  • Swedish Research Council
    1 December 2019 - 31 December 2023
  • Model-based prediction of long-term survival after surgery for esophageal cancer
    Karolinska Institutet
    1 January 2019
  • Swedish Research Council for Health Working Life and Welfare
    1 October 2017 - 30 September 2020
  • Nordic Cancer Union

Employments

  • Statistician, Department of Molecular Medicine and Surgery, Karolinska Institutet, 2017-
  • Project Manager, General Electric (Italy), 2000-
  • Project engineer, Ingegneria dei Sistemi (Italy), 1999-
  • Product Engineer, Magna international, 2001-2003

Degrees and Education

  • Docent, Karolinska Institutet, 2025
  • Degree Of Doctor Of Philosophy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 2017
  • PhD, Mechanical Engineering, Fundamental Studies In the Lamb-Wave Interaction Between Piezoelectric Wafer Active Sensor and Host Structure During Structural Health Monitoring, Mechanical Engineeing, University of South Carolina, 2010

Distinction and awards

  • Outstanding Dissertation Award for Mathematics, Physical Sciences and Engineering, 2010

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