123 research outputs found
A tool to balance benefit and harm when deciding about adjuvant therapy
Adjuvant therapy aims to prevent outgrowth of residual disease but can induce serious side effects. Weighing conflicting treatment effects and communicating this information with patients is not elementary. This study presents a scheme balancing benefit and harm of adjuvant therapy vs no adjuvant therapy. It is illustrated by the available evidence on adjuvant pelvic external beam radiotherapy (RT) for intermediate-risk stage I endometrial carcinoma patients. The scheme comprises five outcome possibilities of adjuvant therapy: patients who benefit from adjuvant therapy (some at the cost of complications) vs those who neither benefit nor contract complications, those who do not benefit but contract severe complications, or those who die. Using absolute risk differences, a fictive cohort of 1000 patients receiving adjuvant RT is categorised. Three large randomised clinical trials were included. Recurrences will be prevented by adjuvant RT in 60 patients, a majority of 908 patients will neither benefit nor suffer severe radiation-induced harm but 28 patients will suffer severe complications due to adjuvant RT and an expected four patients will die. This scheme readily summarises the different possible treatment outcomes and can be of practical value for clinicians and patients in decision making about adjuvant therapies
Patients' and urologists' preferences for prostate cancer treatment: A discrete choice experiment
__Abstract__
Background: Patients' preferences are important for shared decision making. Therefore, we investigated patients' and urologists' preferences for treatment alternatives for early prostate cancer (PC). Methods: A discrete choice experiment was conducted among 150 patients who were waiting for their biopsy results, and 150 urologists. Regression analysis was used to determine patients' and urologists' stated preferences using scenarios based on PC treatment modality (radiotherapy, surgery, and active surveillance (AS)), and risks of urinary incontinence and erectile dysfunction.Results:The response rate was 110 out of 150 (73%) for patients and 50 out of 150 (33%) for urologists. Risk of urinary incontinence was an important determinant of both patients' and urologists' stated preferences for PC treatment (P<0.05). Treatment modality also influenced patients' stated preferences (P<0.05), whereas the risk of erectile dysfunction due to radiotherapy was mainly important to urologists (P<0.05). Both patients and urologists preferred AS to radical treatment, with the exception of patients with anxious/depressed feelings who preferred radical treatment to AS. Conclusion: Although patients and urologists generally may prefer similar treatments for PC, they showed different trade-offs between various specific treatment aspects. This implies that urologists need to be aware of potential differences compared with the patient's perspective on treatment decisions in shared decision making on PC treatment
Comparative efficacy and safety of treatments for localised prostate cancer: an application of network meta-analysis.
CONTEXT: There is ongoing uncertainty about the optimal management of patients with localised prostate cancer. OBJECTIVE: To evaluate the comparative efficacy and safety of different treatments for patients with localised prostate cancer. DESIGN: Systematic review with Bayesian network meta-analysis to estimate comparative ORs, and a score (0-100%) that, for a given outcome, reflects average rank order of superiority of each treatment compared against all others, using the Surface Under the Cumulative RAnking curve (SUCRA) statistic. DATA SOURCES: Electronic searches of MEDLINE without language restriction. STUDY SELECTION: Randomised trials comparing the efficacy and safety of different primary treatments (48 papers from 21 randomised trials included 7350 men). DATA EXTRACTION: 2 reviewers independently extracted data and assessed risk of bias. RESULTS: Comparative efficacy and safety evidence was available for prostatectomy, external beam radiotherapy (different types and regimens), observational management and cryotherapy, but not high-intensity focused ultrasound. There was no evidence of superiority for any of the compared treatments in respect of all-cause mortality after 5 years. Cryotherapy was associated with less gastrointestinal and genitourinary toxicity than radiotherapy (SUCRA: 99% and 77% for gastrointestinal and genitourinary toxicity, respectively). CONCLUSIONS: The limited available evidence suggests that different treatments may be optimal for different efficacy and safety outcomes. These findings highlight the importance of informed patient choice and shared decision-making about treatment modality and acceptable trade-offs between different outcomes. More trial evidence is required to reduce uncertainty. Network meta-analysis may be useful to optimise the power of evidence synthesis studies once data from new randomised controlled studies in this field are published in the future
Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer
Introduction Cardiovascular disease (CVD) is an
important cause of death in breast cancer survivors.
Some breast cancer treatments including anthracyclines,
trastuzumab and radiotherapy can increase the risk of
CVD, especially for patients with pre-existing CVD risk
factors. Early identification of patients at increased CVD
risk may allow switching to less cardiotoxic treatments,
active surveillance or treatment of CVD risk factors. One of
the strongest independent CVD risk factors is the presence
and extent of coronary artery calcifications (CAC). In
clinical practice, CAC are generally quantified on ECGtriggered cardiac CT scans. Patients with breast cancer
treated with radiotherapy routinely undergo radiotherapy
planning CT scans of the chest, and those scans could
provide the opportunity to routinely assess CAC before a
potentially cardiotoxic treatment. The Bragatston study
aims to investigate the association between calcifications
in the coronary arteries, aorta and heart valves (hereinafter
called ‘cardiovascular calcifications’) measured
automatically on planning CT scans of patients with breast
cancer and CVD risk.
Methods and analysis In a first step, we will optimise
and validate a deep learning algorithm for automated
quantification of cardiovascular calcifications on
planning CT scans of patients with breast cancer.
Then, in a multicentre cohort study (University Medical
Center Utrecht, Utrecht, Erasmus MC Cancer Institute,
Rotterdam and Radboudumc, Nijmegen, The Netherlands),
the association between cardiovascular calcifications
measured on planning CT scans of patients with breast
cancer (n≈16 000) and incident (non-)fatal CVD events
will be evaluated. To assess the added predictive value of
these calcifications over traditional CVD risk factors and
treatment characteristics, a case-cohort analysis will be
performed among all cohort members diagnosed with a
CVD event during follow-up (n≈200) and a random sample
of the baseline cohort (n≈600).
Ethics and dissemination The Institutional Review
Boards of the participating hospitals decided that the
Medical R
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