Publications by authors named "Hoora Moradian"

Article Synopsis
  • Ponatinib and asciminib are both approved for treating chronic-phase chronic myeloid leukemia (CP-CML) in the U.S., specifically for patients who have not responded to other therapies or have the T315I mutation, with ponatinib also available in Europe for this mutation.
  • A systematic review identified clinical trials comparing the effectiveness of ponatinib and asciminib for patients who have relapsed or are resistant to treatments, and a statistical analysis was used to compare their response rates after matching patient characteristics.
  • Results showed ponatinib had significantly higher response rates than asciminib, particularly in patients with the T315I mutation, indicating that ponatinib may be a more effective treatment option in these cases.
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Aims: Limited head-to-head data exist for daratumumab plus pomalidomide and dexamethasone (DPd) and non-pomalidomide-containing triplet regimens to treat relapsed/refractory multiple myeloma (RRMM). This study conducted population-adjusted indirect comparisons of overall survival (OS) for DPd vs. daratumumab, carfilzomib, and dexamethasone (DKd) and daratumumab, bortezomib, and dexamethasone (DVd).

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Background: Gemcitabine plus cisplatin (GC) is a highly active and commonly used regimen in locally advanced/metastatic urothelial carcinoma (la/mUC). With GC, cisplatin is dosed at 70 mg/m on day 1 of a 3-week cycle; however, for many patients, impaired renal or cardiac function, neuropathy, or poor performance status (PS) can preclude the use of cisplatin. A promising alternative is split-dose GC, in which the cisplatin dose is divided over 2 days.

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Objective: An open trial of an internet-based Cognitive Behavioural Therapy (iCBT) program for healthcare workers was conducted.

Methods: Healthcare workers on disability leave who used the iCBT program were assessed on: self-reported depression and anxiety symptoms using the Depression Anxiety Stress Scales-21; and, program usage. Healthcare workers' experience of using iCBT was evaluated in a separate survey.

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Tree-based methods are very powerful and popular tools for analysing survival data with right-censoring. The existing methods assume that the true time-to-event and the censoring times are independent given the covariates. We propose different ways to build survival forests when dependent censoring is suspected, by using an appropriate estimator of the survival function when aggregating the individual trees and/or by modifying the splitting rule.

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The log-rank test is used as the split function in many commonly used survival trees and forests algorithms. However, the log-rank test may have a significant loss of power in some circumstances, especially when the hazard functions or when the survival functions cross each other in the two compared groups. We investigate the use of the integrated absolute difference between the two children nodes survival functions as the splitting rule.

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