Publications by authors named "K E Smedby"
Background: Pulmonary embolism causes a substantial burden of morbidity and mortality. Although there are several well-established risk factors for pulmonary embolism, a substantial proportion of cases cannot be attributed to provoked or known risk factors. Accumulating evidence has suggested an association of clonal hematopoiesis of indeterminate potential (CHIP) with the risk of arterial thromboembolism.
View Article and Find Full Text PDFIntroduction: Congestive heart failure (CHF) is a known complication after anthracyclines and radiotherapy for classical Hodgkin lymphoma (cHL). Contemporary cHL treatment may be associated with less risk because radiotherapy use and techniques have changed substantially over time.
Methods: In this study, Swedish cHL patients diagnosed in 2000-2018, and treated with adriamycin [doxorubicin], bleomycin, vinblastine, and dacarbazine (ABVD) or bleomycin, etoposide, Adriamycin [doxorubicin], cyclophosphamide, vincristine, procarbazine, and prednisone (BEACOPP), were matched 1:10 to the general population on birth year and sex to investigate relative rates and cumulative risks of CHF.
Purpose: To examine health-related quality of life (HRQoL) and supportive care needs among young adult (YA) cancer survivors up to 3 years post-diagnosis.
Methods: A national cohort of individuals diagnosed at 18-39 years with breast, cervical, ovarian, or testicular cancer, lymphoma or brain tumor was approached with surveys at 1.5 (n = 1010, response rate 67%) and 3 (n = 722) years post-diagnosis.
Article Synopsis
- Chronic lymphocytic leukemia (CLL) varies greatly among patients, with some experiencing slow progression and others facing aggressive forms leading to early death.
- A study with 1,154 CLL patients examined how lifestyle and medical history factors before diagnosis influenced the time until first treatment (TTFT), adjusting for the CLL-International Prognostic Index (CLL-IPI).
- Results indicated that the CLL-IPI score was the main factor affecting TTFT, with minimal influence from lifestyle factors, providing reassurance to patients about the limited impact of these factors on their disease progression.
Article Synopsis
- Massively parallel sequencing enhances our understanding of genes and their links to diseases, especially in cancer patients, but it complicates the process of clinical decision-making due to the need for extensive manual analysis of genetic variants.
- Aiming to improve diagnostics for lymphoma, a proposed solution involves systematic variant filtering and interpretation, utilizing machine learning techniques to assist healthcare professionals in diagnosing.
- The developed blueprint incorporates insights from specialists and identifies essential components like algorithms, software, and bioinformatics, while emphasizing that human evaluators must still verify and validate the classifications made by the AI-driven system.