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The risk of type 1 diabetes not increased by swine flu vaccine Pandemrix

There has been a fear that the swine flu vaccine, Pandemrix, would increase the risk of autoimmune diseases other than narcolepsy. However, a new study of children from Sweden and Finland shows that the vaccine increased neither the risk of developing autoantibodies against insulin-producing beta cells nor the occurrence of type 1 diabetes. “On the contrary, the risk was reduced among vaccinated c

https://www.ludc.lu.se/article/risk-type-1-diabetes-not-increased-swine-flu-vaccine-pandemrix - 2025-10-23

“Death receptors” – new markers for type 2 diabetes and cardiovascular disease

Researchers at Lund University in Sweden have found that the presence of death receptors in the blood can be used to directly measure the risk of developing cardiovascular diseases and type 2 diabetes. “We see that people with known risk factors such as high blood sugar and high blood fats also have heightened death receptor levels”, says Professor Jan Nilsson who led the study. Death receptors ar

https://www.ludc.lu.se/article/death-receptors-new-markers-type-2-diabetes-and-cardiovascular-disease - 2025-10-23

Nordic conference in Malmö about Precision Medicine in the future

December 4-5, nordic researchers gathered in Malmö to discuss future challenges in precision medicine, a research field where diagnosis and treatment are based on the individual´s genetic and biological conditions. Focus is on our common and increasing diseases diabetes, cardiovascular disease, cancer and psychiatric diagnosis. "The goal of the meeting is to bring together mordic stakeholders in p

https://www.ludc.lu.se/article/nordic-conference-malmo-about-precision-medicine-future - 2025-10-23

Paradigm shift in the diagnosis of diabetes

A completely new classification of diabetes which also predicts the risk of serious complications and provides treatment suggestions. We are now seeing the first results of ANDIS – a study covering all newly diagnosed diabetics in southern Sweden — published in The Lancet Diabetes & Endocrinology. The major difference from today’s classification is that type 2 diabetes actually consists of several

https://www.ludc.lu.se/article/paradigm-shift-diagnosis-diabetes - 2025-10-23

National and regional registries for congenital heart diseases: Strengths, weaknesses and opportunities

1) We found 15 national/regional registries of congenital heart disease worldwide. 2) Registry coverage ranged from 25 to 100% of all eligible cases. 3) The best registries contain demographic, clinical, physical, and laboratory data. 4) Regular verification is essential for quality data and valid statistical findings. Read the paper at https://www.sciencedirect.com/science/article/pii/S0167527321

https://www.lupop.lu.se/article/national-and-regional-registries-congenital-heart-diseases-strengths-weaknesses-and-opportunities - 2025-10-23

The Importance of Making Assumptions in Bias Analysis

Quantitative bias analyses allow researchers to adjust for uncontrolled confounding, given specification of certain bias parameters. When researchers are concerned about unknown confounders, plausible values for these bias parameters will be difficult to specify. Read the paper at https://journals.lww.com/epidem/Fulltext/2021/09000/The_Importance_of_M…

https://www.lupop.lu.se/article/importance-making-assumptions-bias-analysis - 2025-10-23

Validating Acute Myocardial Infarction Diagnoses in National Health Registers for Use as Endpoint in Research: The Tromsø Study

The benefits of using data from national registers as endpoints in epidemiological studies include faster, less resource-intensive access to nationwide data and considerably lower loss to follow-up, compared to manual data collection in a limited geographical area. Read the paper at https://www.dovepress.com/validating-acute-myocardial-infarction-diagno…

https://www.lupop.lu.se/article/validating-acute-myocardial-infarction-diagnoses-national-health-registers-use-endpoint-research - 2025-10-23

Integrating Electronic Health Record, Cancer Registry, and Geospatial Data to Study Lung Cancer in Asian American, Native Hawaiian, and Pacific Islander Ethnic Groups

The integrative data approach is an effective way to conduct cancer research assessing multilevel factors on cancer outcomes among small populations. Read the paper at https://cebp.aacrjournals.org/content/30/8/1506.long

https://www.lupop.lu.se/article/integrating-electronic-health-record-cancer-registry-and-geospatial-data-study-lung-cancer-asian - 2025-10-23

Esophageal resection in Austria—preparing a national registry

This first publication of the Austrian Society of Esophageal Surgery shows that the outcome of esophageal surgery for cancer in Austria compares well with that of renowned international centers. However, a more comprehensive approach including as many national centers as possible will improve outcome research, offer quality management, and improve patient safety. The study group invites all Austri

https://www.lupop.lu.se/article/esophageal-resection-austria-preparing-national-registry - 2025-10-23

Decreased Susceptibility of Marginal Odds Ratios to Finite-sample Bias

Parameters representing adjusted treatment effects may be defined marginally or conditionally on covariates. The choice between a marginal or covariate-conditional parameter should be driven by the study question. However, an unappreciated benefit of marginal estimators is a reduction in susceptibility to finite-sample bias relative to the unpenalized maximum likelihood estimator of the covariate-

https://www.lupop.lu.se/article/decreased-susceptibility-marginal-odds-ratios-finite-sample-bias - 2025-10-23

A Survivorship-Period-Cohort Model for Cancer Survival: Application to Liver Cancer in Taiwan, 1997–2016

Monitoring survival in cancer is a common concern for patients, physicians, and public health researchers. The traditional cohort approach for monitoring cancer prognosis has a timeliness problem. In this paper, we propose a survivorship-period-cohort (SPC) model for examining the effects of survivorship, period, and year-of-diagnosis cohort on cancer prognosis and for predicting future trends in

https://www.lupop.lu.se/article/survivorship-period-cohort-model-cancer-survival-application-liver-cancer-taiwan-1997-2016 - 2025-10-23

Parametric-Regression–Based Causal Mediation Analysis of Binary Outcomes and Binary Mediators: Moving Beyond the Rareness or Commonness of the Outcome

In the causal mediation framework, several parametric-regression–based approaches have been introduced in the last decade for estimating natural direct and indirect effects. For a binary outcome, a number of proposed estimators use a logistic model and rely on specific assumptions or approximations that may be delicate or not easy to verify in practice. Read the paper at https://academic.oup.com/a

https://www.lupop.lu.se/article/parametric-regression-based-causal-mediation-analysis-binary-outcomes-and-binary-mediators-moving - 2025-10-23

Acceptability of patient reported outcome measures (PROMs) in a cystic fibrosis data registry

Improvements in the treatment of cystic fibrosis (CF) have resulted in longer survival and an increased focus on optimising daily functioning with the condition. Patient- reported outcome measures (PROMs) are valuable tools in evaluating the health- related quality of life of persons with chronic diseases. Read the paper at https://bmjopenrespres.bmj.com/content/bmjresp/8/1/e000927.full.pdf

https://www.lupop.lu.se/article/acceptability-patient-reported-outcome-measures-proms-cystic-fibrosis-data-registry - 2025-10-23

Methodical considerations on adjusting for Charlson Comorbidity Index in epidemiological studies

Confounding by comorbidities is of concern in many epidemiological studies. To take this into account a common strategy is to calculate each participant’s Charlson Comorbidity Index (CCI) and use this for adjustment in regression analyses. Various CCI adjustment strategies are possible, and it is unclear, which is preferable. Read the paper at https://link.springer.com/article/10.1007%2Fs10654-021

https://www.lupop.lu.se/article/methodical-considerations-adjusting-charlson-comorbidity-index-epidemiological-studies - 2025-10-23

The use of negative control outcomes in Mendelian randomization to detect potential population stratification

A key assumption of Mendelian randomization (MR) analysis is that there is no association between the genetic variants used as instruments and the outcome other than through the exposure of interest. One way in which this assumption can be violated is through population stratification, which can introduce confounding of the relationship between the genetic variants and the outcome and so induce an

https://www.lupop.lu.se/article/use-negative-control-outcomes-mendelian-randomization-detect-potential-population-stratification - 2025-10-23