Ausvydas Patasius

Dr. Ausvydas Patasius

National Cancer Institute
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orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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DLDonata Linkeviciute-Ulinskiene
Donata Linkeviciute-Ulinskiene
AKAuguste Kaceniene
Auguste Kaceniene
Audrius DulskasAudrius Dulskas
Audrius Dulskas
APAusvydas Patasius
Ausvydas Patasius
LZLina Zabuliene
Lina Zabuliene
GSGiedre Smailyte
Giedre Smailyte
This retrospective cohort study aimed to analyze overall and cause-specific mortality risk in people with type 2 diabetes mellitus (T2DM) in Lithuania. Information on the diagnosis of T2DM and glucose-lowering medication was obtained from the National Health Insurance Fund database, causes of death–from death certificates. Sex, age, and calendar period-standardized mortality ratios (SMRs) were calculated. In addition, 89,512 patients were followed-up between 2010 and 2017, contributing to the observation period of 592,321 person-years. Overall mortality risk was increased for both sexes (overall SMR = 1.35, 95% confidence interval (CI) 1.34–1.37). Greatest mortality risk was in the age group of 40–49 years at diabetes diagnosis (SMR = 1.68, 95% CI 1.60–1.76) and among those who had died before the age of 50 (SMR = 22.04, 95% CI 18.82–25.81). Patients treated with insulin only had the highest SMR (2.43, 95% CI 2.32–2.55). Mortality risk increased with increasing diabetes duration and was higher in women in all these groups. The highest cause-specific SMRs were infection-related causes (SMR = 1.44), particularly septicemia (SMR = 1.78), diseases of the circulatory system (SMR = 1.42), especially ischemic heart (SMR = 1.46) and cerebrovascular diseases (SMR = 1.38), as well as diseases of the digestive system (SMR = 1.35). Cancer mortality risk was elevated for women (SMR = 1.13), but not for men (SMR = 0.93). In conclusion, people with T2DM had an excess mortality risk, which was higher in women compared to men, younger people, in those who were diagnosed with T2DM at a younger age, had longer diabetes duration, and who required treatment with insulin.

DLDonata Linkeviciute-Ulinskiene
Donata Linkeviciute-Ulinskiene
APAusvydas Patasius
Ausvydas Patasius
LZLina Zabuliene
Lina Zabuliene
Rimantas StukasRimantas Stukas
Rimantas Stukas
GSGiedre Smailyte
Giedre Smailyte
A retrospective cohort design was used with the objective to evaluate cancer risk among people with type 2 diabetes mellitus (T2DM) in Lithuania. The cohort was established by identifying all patients with the first diagnosis of T2DM in the National Health Insurance Fund database during 2000–2012. Cancer cases were identified by record linkage with the Lithuanian Cancer Registry. Standardized incidence ratios (SIRs) were calculated. Of the 127,290 people that were included, 5959 cases of cancer in men and 6661 cancer cases in women with T2DM were observed. A statistically significant increase in risk for all cancer sites was observed in women, SIR 1.16 (95% CI 1.14–1.19), but not in men, SIR 1.00 (95% CI 0.98–1.03). Among males, a significant increase of liver (SIR 2.11, 95% CI 1.79–2.49]), pancreas (SIR 1.77, 95% CI 1.57–1.99), kidney (SIR 1.46 95% CI 1.31–1.62), thyroid (SIR 1.83, 95% CI 1.32–2.54), colorectal (SIR 1.23, 95% CI 1.14–1.31]), skin melanoma (SIR 1.40, 95% CI 1.11–1.76), and non–melanoma skin (SIR 1.14, 95% CI 1.05–1.23) cancer was observed. For females with T2DM, a significant increase in risk of cancer of the liver (SIR 1.45, 95% CI 1.17–1.79), pancreas (SIR 1.74, 95% CI 1.56–1.93), kidney (SIR = 1.43, 95% CI 1.28–1.60), thyroid (SIR = 1.40, 95% CI 1.22–1.62), breast (SIR = 1.24, 95% CI 1.17–1.31), and corpus uteri (SIR 2.07, 95% CI 1.93–2.21) was observed. In conclusion, people with T2DM in Lithuania had an increased risk of site-specific cancer.

26 November 2020 in Journal of Clinical Medicine
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APAusvydas Patasius
Ausvydas Patasius
AKAgne Krilaviciute
Agne Krilaviciute
GSGiedre Smailyte
Giedre Smailyte
The aim of this study is to report key performance estimates from the ten years of a population-based prostate cancer screening programme in Lithuania. Retrospective analysis of screening activities recorded in 2006–2015 among men aged 50–74 years was performed. We estimated screening coverage, cancer detection rate, compliance to biopsy, and positive predictive values in each screening round inside and outside the target population. In the first 10 years of screening, 16,061 prostate cancer cases were registered within the screening programme, 10,202 were observed among screened men but reported outside the screening programme, and 1455 prostate cancers were observed in a screening-naïve population. Screening cover reached up to 45.5% of the target population in the recent rounds. The proportion of prostate specific antigen (PSA) test-positive men decreased from 16.9% in 2006 to 10.7% in 2014–2015. Up to 40.0% of PSA test-positive men received a biopsy, of whom 42.0% were positive for prostate cancer. The cancer detection rate was 10.4−15.0% among PSA test-positives and 1.4–1.9% among screened individuals. Screening participants were more likely to be diagnosed with organ-confined disease as compared to non-participants. Despite the unorganized screening practices being employed and low coverage per screening round, 70% of the target population were screened at least once in the first 10 years of screening.

9 October 2019 in BMJ Open
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APAusvydas Patasius
Ausvydas Patasius
KIKaire Innos
Kaire Innos
ABAnton Barchuk
Anton Barchuk
ARAnton Ryzhov
Anton Ryzhov
Marcis LejaMarcis Leja
Marcis Leja
GSGiedre Smailyte
Giedre Smailyte
Background Prostate cancer incidence varies internationally largely attributable to differences in prostate-specific antigen (PSA) use. The aim of this study was to provide the most recent detailed international epidemiological comparison of prostate cancer incidence and mortality in six north-eastern European countries (Belarus, Estonia, Latvia, Lithuania, the Russian Federation and Ukraine). Methods The number of incident prostate cancer cases was obtained from the countries national cancer registries. Prostate cancer mortality and corresponding population data were extracted from the WHO Mortality Database. Age-specific and age-standardised incidence and mortality rates were calculated (European Standard). The joinpoint regression model was used to provide an average annual percentage change and to detect points in time where significant changes in trends occurred. The observation period was between 13 (Ukraine) and 48 (Estonia) years regarding incidence and around 30 years regarding mortality. Results The comparison of prostate cancer incidence in six European countries showed almost sixfold differences in the age-adjusted rates in most recent years with highest incidence rates in Lithuania and Estonia. Through the observation period, overall a continuous rise was seen in incidence in all countries and a continuous rise in mortality, with a stabilisation in Estonia and a decrease in Lithuania in recent years. Data limitations included a descriptive design using ecological data. Conclusions A widespread use of PSA testing seems to be responsible for the changes in the epidemiology of the disease in north-eastern European countries. Substantial variation in the incidence of prostate cancer in the Baltic states suggests the possibility that PSA performance and utilisation spread have had a major influence on observed incidence trends, with a lack of effect on prostate cancer mortality.

5 February 2020 in Journal of Clinical Medicine
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Audrius DulskasAudrius Dulskas
Audrius Dulskas
APAusvydas Patasius
Ausvydas Patasius
AKAuguste Kaceniene
Auguste Kaceniene
DLDonata Linkeviciute-Ulinskiene
Donata Linkeviciute-Ulinskiene
LZLina Zabuliene
Lina Zabuliene
GSGiedre Smailyte
Giedre Smailyte
We assessed gastric cancer risk in type 2 diabetes mellitus patients. Gastric cancer patients with diabetes between 2001–2012 were identified. Four groups were analysed: combination therapy with metformin users; insulin and other medication users; metformin and insulin users; and sulfonylurea users. Standardised incidence ratios (SIRs) for gastric cancers as a ratio of the observed number of cancer cases in people with diabetes to the expected number of cancer cases in the underlying general population were calculated. A total of 99,992 patients with diabetes were analysed and 337 gastric cancer cases in patients with diabetes were observed when compared to the expected number of 400.54 gastric cancer cases, according to the cancer rates of the general population (SIR 0.84, 95% confidence interval (CI): 0.76–0.94). Lower risk of gastric cancer was found both in male and female patients with diabetes, however, risk among females was insignificantly lower. Higher gastric cancer risk was found in the group of diabetic patients treated with sulfonylureas (SIR 1.31, 95% CI: 1.04–1.65) and significantly lower risk than expected from the general population was found in the group of metformin users (SIR 0.75, 95% CI: 0.66–0.86). Type 2 diabetes mellitus was not associated with increased risk of gastric cancer. Metformin might decrease the risk of gastric cancer in patients with diabetes, while sulfonylureas may increase gastric cancer risk.

23 January 2025 in eClinicalMedicine
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DSDeependra Singh
Deependra Singh
ACAndre L. Carvalho
Andre L. Carvalho
IMIsabel Mosquera
Isabel Mosquera
JVJosep Vilaseca
Josep Vilaseca
APAusvydas Patasius
Ausvydas Patasius
HPHendrik Van Poppel
Hendrik Van Poppel
Monitoring and evaluation of prostate cancer (PCa) screening is key to ensure that the programme achieves the desired objectives. Utilizing a set of prioritized, feasible and harmonized key performance indicators (KPIs) is crucial for this purpose. We describe the methodology used to identify the PCa screening KPIs and the outcome of this process within the scope of the EU-funded PRostate cancer Awareness and Initiative for Screening in the EU (PRAISE-U) project. Feasibility of implementing these KPIs will be evaluated in the five pilots set up at multiple sites in the EU (Spain-2 sites, Poland, Ireland, Lithuania). The indicators were developed following a structured methodology involving the following steps: (i) Development of a specific conceptual framework for PCa screening is adapted from the existing risk-based algorithms and modified to guide the selection and mapping of indicators (from identification of population eligible for screening to the decision for treatment or follow-up), (ii) Scoping review of literature (coverage from 1971 to June 2023) to identify existing performance indicators for PCa screening to adapt to the new framework with redefining the indicators, where necessary, (iii) Survey among experts (October–November 2023) to select the indicators fulfilling pre-determined criteria such as accuracy of definition and calculation, importance, and feasibility, and (iv) Deliberations among experts to list the finalized set of indicators, held in December 2023. A total of 63 KPIs were selected for review using the step-wise methodology as described earlier. Following the review, survey, and deliberations, 21 KPIs were finalized to be piloted in the PRAISE-U project. The resulting 21 KPIs cover the different phases of the screening programme, including invitation, screening test, risk stratification, diagnosis, and also on treatment, harms, and impact. Each KPI has been defined with agreed numerator and denominator. Continuous monitoring of PCa screening programmes using the KPIs will serve as a powerful tool for optimizing service delivery, programme improvement, comparison per screening site, and ultimately contributing to a better benefit to harm ratio. The KPIs will be implemented in five pilot sites identified to be included in the PRAISE-U project aiming to identify an evidence-based scalable model for risk adapted PCa screening for Europe. This project has received funding from the EU4Health program under grant agreement 101101217, co-funded by the 10.13039/501100000780 European Union .