Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31293
Title: Development and preliminary validation of a risk prediction model for chemotherapy-related nausea and vomiting
Authors: Molassiotis, A 
Stamataki, Z
Kontopantelis, E
Keywords: Cancer
Chemotherapy
Model
Nausea
Prediction
Risk factors
Vomiting
Issue Date: 2013
Publisher: Springer
Source: Supportive care in cancer, 2013, v. 21, no. 10, p. 2759-2767 How to cite?
Journal: Supportive care in cancer 
Abstract: Background: A number of risk factors have been implicated in the development of chemotherapy-induced nausea/vomiting (CINV). Our aim was to develop a risk prediction model and identify patients at high risk for developing CINV before their chemotherapy treatment. Patients and methods: A multisite, observational, prospective longitudinal design was used. Participants were 336 chemotherapy-naïve cancer patients providing 791 assessments. They completed measures to assess potential risk factors for CINV, including socio-demographic and clinical/treatment-related characteristics, symptom distress, expectations for CINV and state-trait anxiety. CINV was measured with the MASCC Antiemesis Tool. Participants were divided randomly to a training set (=286) and a test set (=50). Random-effects models were run to ascertain the contribution of risk factors in the development of CINV using the training sample. Specificity and sensitivity of the model were assessed in both sets of samples. Results: Younger age, history of nausea/vomiting, trait anxiety and fatigue were linked with higher levels of CINV, and use of moderately and low emetogenic chemotherapy were linked with lower CINV. The model's specificity were 55.4 and 50.0 % and sensitivity were 80.3 and 79.0 % in the training and test sample, respectively. A dynamic web-based tool is freely available for use by clinicians. Conclusion: This model of risk prediction for CINV can be an aid to clinical decision-making and assist clinicians to rationalise antiemetic use with their patients.
URI: http://hdl.handle.net/10397/31293
ISSN: 0941-4355
EISSN: 1433-7339
DOI: 10.1007/s00520-013-1843-2
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

18
Last Week
1
Last month
0
Citations as of Jun 24, 2017

WEB OF SCIENCETM
Citations

19
Last Week
0
Last month
0
Citations as of Jun 23, 2017

Page view(s)

31
Last Week
0
Last month
Checked on Jun 25, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.