Publications by authors named "M Eklund"

Reporting of prostate cancer grade has drifted to higher reported grades over the past decades. In prostate cancers diagnosed on needle biopsy of 1 72 112 men reported to The National Prostate Cancer Register of Sweden 2000-2020, we also noted a grade shift among high-grade cancers. We applied multinomial logistic regression to assess time trends.

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Objective: The aim of this study was to estimate the total national direct cost of breast cancer screening from 2019 to 2022 and project the total national cost and average lifetime cost of screening per woman for three current guidelines.

Design: We estimated the national cost of screening from 2019 to 2022, and per cancer detected in 2022, using real-world data on the number of mammograms performed per year. We also projected the national cost of screening using life table modelling for three guidelines: 2021/2023 American College of Radiology (ACR), 2023 American Cancer Society (ACS) and 2024 United States Preventative Services Task Force (USPSTF).

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Prostate cancer grade is currently often reported both by Gleason scores and by grouping of the scores into five so-called International Society of Urological Pathology (ISUP) grades (also known as grade groups). Using population-based registry data from 172,112 men diagnosed with prostate cancer on needle biopsy, we recently investigated the outcome of Gleason score 8-10 prostate cancer with death due to prostate cancer and death from any cause as endpoints. There was a prognostic heterogeneity between Gleason scores 3+5, 4+4 and 5+3 (ISUP grade 4) and between Gleason scores 4+5, 5+4 and 5+5 (ISUP grade 5).

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Background: The occupational therapy intervention Balancing Everyday Life (BEL) aims to support mental health service users towards improved occupational balance and personal recovery. Yet, no research has specifically addressed recovery experiences among BEL participants.

Aim: To investigate how the recovery process was experienced by mental health services users who had participated in BEL.

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The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsistencies in the production of whole slide images (WSIs). This causes degraded AI performance and poses a challenge for widespread clinical application, as fine-tuning algorithms for each site is impractical. Changes in the imaging workflow can also compromise diagnostic accuracy and patient safety.

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