Publications by authors named "A E G Persson"

Background: Access to adequate pain treatment is a fundamental right, yet international data suggest that a considerable number of children experience acute and persistent pain. Little is known about the occurrence of both acute and persistent pain in children. The incidence of persistent postoperative pain in children is an unexplored area but international studies suggest that many children experience long-term pain after surgery, with a major impact on daily life.

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A substantial proportion of people with tuberculosis (TB)-one of the world's deadliest infectious diseases-live in resource-poor, food insecure settings. It is widely recognised that undernutrition significantly heightens vulnerability to TB, as well as contributes to poor treatment adherence and outcomes. However, more attention is needed to understand what shapes food insecurity and undernutrition in a particular setting.

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Background: The use of stereotactic body radiotherapy (SBRT) to definitively treat oligometastases in prostate cancer has drawn large clinical and research interests within radiation oncology. However, the evidence is considered in its early stages and there is currently no systematic review of randomized controlled trials (RCTs) in this field. We aimed to evaluate the efficacy and safety of SBRT as metastasis-directed therapy (MDT) in oligometastatic prostate cancer (OMPC) compared to no MDT reported in RCTs.

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Type 2 diabetes is associated with cardiovascular disease, possibly due to impaired vascular fibrous repair. Yet, the mechanisms are elusive. Here, we investigate alterations in the fibrous repair processes in type 2 diabetes atherosclerotic plaque extracellular matrix by combining multi-omics from the human Carotid Plaque Imaging Project cohort and functional studies.

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This retrospective study explored the association between circulating cell-free plasma telomere length (cf-TL) and coronary artery disease (CAD) and heart failure (HF). Data from 518 participants were collected, including clinical and laboratory data. cf-TL was measured in plasma samples and machine learning (ML) classification models were developed to differentiate between CAD, HF and control conditions.

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