Various prognostic tools have been validated but vary in their complexity, subjectivity, and therefore clinical utility. The Glasgow Prognostic Score would seem the most favorable as it uses only two parameters (both objective) and has prognostic value complementary to the gold standard measure, which is performance status. Further studies comparing all proved prognostic markers in a single cohort of patients with advanced cancer are needed to determine the optimal prognostic tool.
Background: Opioids are the foundation of treatment for cancer pain but can cause side-effects, one of the most common being nausea and vomiting, which can impair quality of life. Objective: To evaluate the evidence for the management of opioid-induced nausea and vomiting. This systematic review was undertaken as part of an update of the European Association for Palliative Care's opioid guidelines. Design: Searches of MEDLINE (1966-2017) and EMBASE (1980-2017) were done. Key eligibility criteria were: randomized controlled trials conducted in patients with cancer. The Grading of Recommendations Assessment Development and Evaluations system was applied to formulate recommendations. Results: Fifteen studies were eligible (1524 patients). The studies were grouped as follows: opioid switching (n = 8); the use of antiemetics to treat opioid-induced nausea and vomiting (n = 4); and change of route of administration of the opioid (n = 3). Three recommendations were formulated: A weak recommendation for switching from morphine to oxycodone in cancer patients with nausea (quality D); a weak recommendation for switching from tramadol to either codeine or hydrocodone for pain in cancer patients with nausea (quality D); and a weak recommendation for switching from morphine/oxycodone to methadone using the three-day switch method in patients with increasing pain considered untreatable with further opioid titration and/or with opioidrelated side effects (quality C). Conclusions: This systematic review can make only weak recommendations for the management of opioidinduced nausea and vomiting. There remains a need for high-quality studies before strong recommendations on the management of opioid-induced nausea and vomiting can be made.
Background: Pain is a common problem after stroke and is associated with poor outcomes. There is no consensus on the optimal method of pain assessment in stroke. A review of the properties of tools should allow an evidence based approach to assessment. Objectives: We aimed to systematically review published data on pain assessment tools used in stroke, with particular focus on classical test properties of: validity, reliability, feasibility, responsiveness. Methods: We searched multiple, cross-disciplinary databases for studies evaluating properties of pain assessment tools used in stroke. We assessed risk of bias using the Quality Assessment of Diagnostic Accuracy Studies tool. We used a modified harvest plot to visually represent psychometric properties across tests. Results: The search yielded 12 relevant articles, describing 10 different tools (n = 1,106 participants). There was substantial heterogeneity and an overall high risk of bias. The most commonly assessed property was validity (eight studies) and responsiveness the least (one study). There were no studies with a neuropathic or headache focus. Included tools were either scales or questionnaires. The most commonly assessed tool was the Faces Pain Scale (FPS) (6 studies). The limited number of papers precluded meaningful meta-analysis at level of pain assessment tool or pain syndrome. Even where common data were available across papers, results were conflicting e.g., two papers described FPS as feasible and two described the scale as having feasibility issues. Conclusion: Robust data on the properties of pain assessment tools for stroke are limited. Our review highlights specific areas where evidence is lacking and could guide further research to identify the best tool(s) for assessing post-stroke pain. Improving feasibility of assessment in stroke survivors should be a future research target.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.