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

Published 17 September 2021 Photo: Pixabay / Arek Socha 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

https://www.lupop.lu.se/article/national-and-regional-registries-congenital-heart-diseases-strengths-weaknesses-and-opportunities - 2025-02-05

The Importance of Making Assumptions in Bias Analysis

Published 18 September 2021 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 - 2025-02-05

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

Published 18 September 2021 Photo: Pixabay / Colin Behrens 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-inf

https://www.lupop.lu.se/article/validating-acute-myocardial-infarction-diagnoses-national-health-registers-use-endpoint-research - 2025-02-05

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

Published 19 September 2021 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 - 2025-02-05

Esophageal resection in Austria—preparing a national registry

Published 19 September 2021 Photo: Pixabay / www_slon_pics 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

https://www.lupop.lu.se/article/esophageal-resection-austria-preparing-national-registry - 2025-02-05

Decreased Susceptibility of Marginal Odds Ratios to Finite-sample Bias

Published 20 September 2021 Photo: Pixabay / geralt 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 unpena

https://www.lupop.lu.se/article/decreased-susceptibility-marginal-odds-ratios-finite-sample-bias - 2025-02-05

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

Published 21 September 2021 Photo: Pixabay / Brian Merrill 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 coho

https://www.lupop.lu.se/article/survivorship-period-cohort-model-cancer-survival-application-liver-cancer-taiwan-1997-2016 - 2025-02-05

Matched Versus Unmatched Analysis of Matched Case-Control Studies

Published 22 September 2021 Photo: Pixabay / Ronny Overhate Although the need for addressing matching in the analysis of matched case-control studies is well established, debate remains as to the most appropriate analytical method when matching on at least 1 continuous factor Read the paper at https://academic.oup.com/aje/article/190/9/1859/6162924

https://www.lupop.lu.se/article/matched-versus-unmatched-analysis-matched-case-control-studies - 2025-02-05

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

Published 23 September 2021 Photo: Pixabay / Gerd Altmann 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

https://www.lupop.lu.se/article/parametric-regression-based-causal-mediation-analysis-binary-outcomes-and-binary-mediators-moving - 2025-02-05

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

Published 23 September 2021 Foto från snd.gu.se 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

https://www.lupop.lu.se/article/acceptability-patient-reported-outcome-measures-proms-cystic-fibrosis-data-registry - 2025-02-05

Methodical considerations on adjusting for Charlson Comorbidity Index in epidemiological studies

Published 24 September 2021 Photo: Pixabay / Arek Socha 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 a

https://www.lupop.lu.se/article/methodical-considerations-adjusting-charlson-comorbidity-index-epidemiological-studies - 2025-02-05

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

Published 24 September 2021 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

https://www.lupop.lu.se/article/use-negative-control-outcomes-mendelian-randomization-detect-potential-population-stratification - 2025-02-05

Rounding up the usual suspects: confirmation bias in epidemiological research

Published 25 September 2021 Photo: Pixabay / Alexander Lesnitsky Investigators performing epidemiological research frequently form hypotheses based on data availability. One might ask how it could be otherwise. After all, what is the point of forming hypotheses if they can’t be tested? Read the paper at https://academic.oup.com/ije/article/50/4/1053/6259481

https://www.lupop.lu.se/article/rounding-usual-suspects-confirmation-bias-epidemiological-research - 2025-02-05

SWE-REG Autumn Meeting 2021: How to conduct successful interdisciplinary research

Published 11 October 2021 The Swedish Network for Register-Based Research (SWE-REG) is a collaboration between eight research nodes – seven research environments and a graduate school in register-based research. The network strives to use register-based data for research that may benefit people’s health and well-being. Read more, and register at https://swe-reg.se/

https://www.lupop.lu.se/article/swe-reg-autumn-meeting-2021-how-conduct-successful-interdisciplinary-research - 2025-02-05