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Perspectives on pain registries

Registries are one way to provide longitudinal, observational data, giving rise to a range of possibilities in terms of audit and research. They allow examining approaches to management, which would not be feasible by a trial or where there was no trial data (currently or likely ever) available. In this Perspective, we will discuss aspects of their design, analysis, and use in the field of pain. R

https://www.lupop.lu.se/article/perspectives-pain-registries - 2025-12-18

“Translating” All-Cause Mortality Rate Ratios or Hazard Ratios to Age-, Longevity-, and Probability-Based Measures

Epidemiologists commonly use an adjusted hazard ratio or incidence density ratio, or a standardized mortality ratio, to measure a difference in all-cause mortality rates. They seldom translate it into an age-, time-, or probability-based measure that would be easier to communicate and to relate to. Several articles have shown how to translate from a standardized mortality ratio or hazard ratio to

https://www.lupop.lu.se/article/translating-all-cause-mortality-rate-ratios-or-hazard-ratios-age-longevity-and-probability-based - 2025-12-18

TWISTER PLOTS FOR TIME-TO-EVENT STUDIES

Results of randomized trials and observational studies can be difficult to communicate. Results are often presented as risk or survival functions stratified by the treatment or exposure (1, 2). However, a contrast between the stratified risk functions is often of primary interest. Here we propose a “twister” plot to visualize contrasts in risk over the duration of a study. The twister plot is a −9

https://www.lupop.lu.se/article/twister-plots-time-event-studies - 2025-12-18

Constructed Measures and Causal Inference: Towards a New Model of Measurement for Psychosocial Constructs

Psychosocial constructs can only be assessed indirectly, and measures are typically formed by a combination of indicators that are thought to relate to the construct. Reflective and formative measurement models offer different conceptualizations of the relation between the indicators and what is sometimes conceived of as a univariate latent variable supposed to correspond in some way to the constr

https://www.lupop.lu.se/article/constructed-measures-and-causal-inference-towards-new-model-measurement-psychosocial-constructs - 2025-12-18

Mendelian Randomization With Repeated Measures of a Time-varying Exposure

Mendelian randomization (MR) is often used to estimate effects of time-varying exposures on health outcomes using observational data. However, MR studies typically use a single measurement of exposure and apply conventional instrumental variable (IV) methods designed to handle time-fixed exposures. As such, MR effect estimates for time-varying exposures are often biased, and interpretations are un

https://www.lupop.lu.se/article/mendelian-randomization-repeated-measures-time-varying-exposure - 2025-12-18

A comparison of statistical methods to predict the residual lifetime risk

Lifetime risk measures the cumulative risk for developing a disease over one’s lifespan. Modeling the lifetime risk must account for left truncation, the competing risk of death, and inference at a fixed age. In addition, statistical methods to predict the lifetime risk should account for covariate-outcome associations that change with age. In this paper, we review and compare statistical methods

https://www.lupop.lu.se/article/comparison-statistical-methods-predict-residual-lifetime-risk - 2025-12-18

Cohort profile and representativeness of participants in the Diet, Cancer and Health—Next Generations cohort study

The Diet, Cancer and Health—Next Generations (DCH-NG) study is a large population-based cohort study that was established as a resource for transgenerational research. The cohort is an extension of the Diet, Cancer and Health (DCH) cohort. The aim of this paper was to describe the study design and methods and to investigate the representativeness of participants by comparing participants with non-

https://www.lupop.lu.se/article/cohort-profile-and-representativeness-participants-diet-cancer-and-health-next-generations-cohort - 2025-12-18

Early experience with an opt-in research register - Scottish Health Research Register (SHARE): a multi-method evaluation of participant recruitment performance

Recruiting participants to a clinical study is a resource-intensive process with a high failure rate. The Scottish Health Research Register (SHARE) provides recruitment support service which helps researchers recruit participants by searching patients’ Electronic Health Records (EHRs). The current study aims to evaluate the performance of SHARE in participant recruitment. Read the paper at https:/

https://www.lupop.lu.se/article/early-experience-opt-research-register-scottish-health-research-register-share-multi-method - 2025-12-18

Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care

Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets in the form of national cancer registries, image/genetic depositories and clinical datasets already exist and have been used for research. In theory, t

https://www.lupop.lu.se/article/registries-databases-and-repositories-developing-artificial-intelligence-cancer-care - 2025-12-18

High Validity of the Danish National Patient Registry for Systemic Anticancer Treatment Registration from 2009 to 2019

Background: The Danish National Patient Registry is a major resource for Danish epidemiology. Only a few studies have been conducted to check the validity of the reporting of systemic anticancer treatments. In this study, we assessed this validity for a range of cancer types over a long period of time. Patients and Methods: We extracted systemic anticancer treatment procedures from the Danish Nati

https://www.lupop.lu.se/article/high-validity-danish-national-patient-registry-systemic-anticancer-treatment-registration-2009-2019 - 2025-12-18

The German Multiple Sclerosis and Pregnancy Registry: rationale, objective, design, and first results

The DMSKW is a valuable structure in providing safety data on drug exposure during pregnancy and lactation in combination with information on disease activity up to 6 years postpartum. This article will be the reference for describing the methods of future publications from the DMSKW. Read the paper at https://journals.sagepub.com/doi/10.1177/17562864211054956

https://www.lupop.lu.se/article/german-multiple-sclerosis-and-pregnancy-registry-rationale-objective-design-and-first-results - 2025-12-18

Generalizability and effect measure modification in sibling comparison studies

Sibling comparison studies have the attractive feature of being able to control for unmeasured confounding by factors that are shared within families. However, there is sometimes a concern that these studies may have poor generalizability (external validity) due to the implicit restriction to families that are covariate-discordant, i.e., those families where at least two siblings have different le

https://www.lupop.lu.se/article/generalizability-and-effect-measure-modification-sibling-comparison-studies - 2025-12-18

Reflection on modern methods: visualizing the effects of collinearity in distributed lag models

Collinearity can be a problem in regression models. When examining the effects of an exposure at different time points, constrained distributed lag models can alleviate some of the problems caused by collinearity. Still, some consequences of collinearity may remain and they are often unexplored. We aimed to illustrate the effects of collinearity in the context of distributed lag models, and to pro

https://www.lupop.lu.se/article/reflection-modern-methods-visualizing-effects-collinearity-distributed-lag-models - 2025-12-18

Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities

Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and n

https://www.lupop.lu.se/article/reflection-modern-methods-statistical-policy-and-ethical-implications-using-age-standardized-health - 2025-12-18