Background: Adjuvant! Online is a free web-based tool which predicts 10-year breast cancer outcomes and the efficacy of adjuvant therapy in patients with breast cancer. As its prognostic performance has only been validated in high income Caucasian populations, we validated the model in a middle income Asian setting.
Methods: Within the University Malaya Hospital-Based Breast Cancer Registry, all 631 women who were surgically treated for invasive non-metastatic breast cancer between 1993 and 2000 were identified. The discriminative performance of Adjuvant! Online was tested using receiver operating characteristic (ROC) analysis. Calibration of the model was evaluated by comparing predicted 10-year overall survival with observed 10-year survival.
Findings: Adjuvant! Online was fairly capable in discriminating between good and poor survivors, as attested by the area under ROC curve of 0.73 (95% Confidence Interval: 0.69-0.77). Overall, Adjuvant! Online predicted 10 year survival (70.3%) was significantly higher than the observed 10 year survival (63.6%, difference of 6.7%; 95% CI: 3.0-10.4%). The model was especially overoptimistic in women under 40 years and in women of Malay ethnicity, where survival was overestimated by approximately 20% (95% CI: 9.8-29.8%) and 15% (95% CI: 5.3-24.5%) respectively.
Interpretation: Even though Adjuvant! Online is capable of discriminating between good and poor survivors, it systematically overestimates survival. These findings suggest that the model requires adaptation prior to use in Asian settings.
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http://dx.doi.org/10.1016/j.ejca.2012.01.034 | DOI Listing |
Curr Mol Pharmacol
January 2025
Área Académica de Medicina del Instituto de Ciencias de la Salud, Universidad Autónoma del Estado de Hidalgo, Pachuca, Hidalgo, México.
Introduction: This work aimed to evaluate the anti-inflammatory and myorelaxant effect of thymol (TM) and carvacrol (CAR) in the pregnant rat uterus. Both compounds exhibit considerable antimicrobial, antispasmodic, and anti-inflammatory effects and due to these properties, they were studied in this in vitro model of premature birth induced by infection.
Method: All uterine tissues were studied in uterine contraction tests to determine the inhibitory effect of TM, CAR (10, 56, 100, 150, and 230 μM), and nifedipine (a calcium channel antagonist) on phasic and tonic contraction induced by electro- and pharmacomechanical stimuli.
BMJ Support Palliat Care
January 2025
Department of Oncology, County Hospital Ryhov, Jönköping, Jonkoping County, Sweden
Objectives: To assess the incidence of neutropenia, febrile neutropenia, documented infection with neutropenia and fever associated with early-stage breast cancer (BC) in a real-life setting.
Methods: A retrospective study that includes 88 women with BC who received a first dose of Epirubicin plus Cyclophosphamide with or without 5-Fluorouracil, in the county hospital of Ryhov, Sweden. The patients were included continuously from May 2017 to November 2020 and were ≥18 years old.
Clin Breast Cancer
December 2024
Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, The University of Manchester, Manchester, UK. Electronic address:
Introduction: Adjuvant abemaciclib was recently approved in high-risk early breast cancer, leading to an increase in oncology resource utilisation. We thus developed a regional, remote monitoring clinical service. The set-up, delivery processes and outcomes from the first 6 months' consecutive patients are presented.
View Article and Find Full Text PDFJ Obstet Gynaecol India
December 2024
Department of Surgical Oncology, SMS Medical College and Attached Group of Hospitals, B 31 Prabhu Marg Tilak Nagar, Jaipur, 302004 India.
J Neurooncol
January 2025
Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Purpose: Social determinants of health including neighborhood socioeconomic status, have been established to play a profound role in overall access to care and outcomes in numerous specialized disease entities. To provide glioblastoma multiforme (GBM) patients with high-quality care, it is crucial to identify predictors of hospital length of stay (LOS), discharge disposition, and access to postoperative adjuvant chemoradiation. In this study, we incorporate a novel neighborhood socioeconomic status index (NSES) and develop three predictive algorithms for assessing post-operative outcomes in GBM patients, offering a tool for preoperative risk stratification of GBM patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!