Publications by authors named "S Eloranta"
Introduction: 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.
Background: The aim of this study was to compare relative survival in non-metastatic rectal cancer clinically staged as T3-T4 requiring beyond total mesorectal excision (TME) to that after standard TME.
Methods: This population-based study included all patients operated with anterior resection, abdominoperineal excision or Hartmann's procedure for non-metastatic rectal cancer clinically staged as T3-T4 in Sweden between 2009 and 2018. Relative survival was analysed in relation to surgery beyond TME (bTME), which was subcategorized as bTME- and bTME + to account for extent of resection.
Article Synopsis
- Optimizing drug treatment for bipolar disorder is tough, but there is some evidence that certain clinical and demographic factors could indicate how well a patient might respond to lithium. Attempts to create personalized treatment plans have not been very successful so far.
- Researchers analyzed UK primary care records of over 31,000 individuals treated with either lithium or olanzapine using machine learning to predict which patients would respond to these medications. They found that while predicting lithium responders was challenging, certain factors like age at diagnosis and treatment were significant.
- Although they couldn't distinctly predict responses to olanzapine, the study opened avenues for further research using larger datasets, emphasizing that exploring machine learning in electronic health records could
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.
Article Synopsis
- The study included 98 transplanted and 474 non-transplanted CRC patients, revealing that transplanted individuals were less likely to undergo surgery and receive adjuvant chemotherapy; additionally, transplanted rectal cancer patients saw higher relapse rates.
- Five-year survival rates were significantly lower for transplanted CRC patients (56% cancer-specific, 35% overall) compared to non-transplanted patients (68% cancer-specific, 57% overall), suggesting the need for more integrated care involving transplantation specialists.