82 research outputs found
Response shift results of quantitative research using patient-reported outcome measures:a descriptive systematic review
Studies of grapheneâchitosan interactions and analysis of the bioadsorption of glucose and cholesterol
The Adsorption of Chlorofluoromethane on Pristine, Alâ, Gaâ, Pâ, and Asâdoped Boron Nitride Nanotubes: A PBCâDFT, NBO, and QTAIM Study
The feasibility of detecting a Chlorofluoromethane (CFM) gas molecule on the outer surface of a pristine singleâwalled boron nitride nanotube as well as Alâ, Gaâ, Pâ, and Asâdoped structures. A periodic boundary condition (PBC), within a density functional theory (DFT) method, using the Perdew, Burke, and Ernzerhof exchangeâcorrelation (PBE0) functional, together with a 6â311G(d) basis set was used. Subsequently, the B3LYP, CAMâB3LYP, ÏB97XD, and M06â2X functionals were also employed to consider the single point energies. Natural bond orbital (NBO) and quantum theory of atoms in molecules (QTAIM) were implemented by using the PBE0/6â311G(d). To explore the nature of the intermolecular interactions, density of state (DOS), Wiberg bond index (WBI), natural charge, natural electron configuration, donorâacceptor natural bond orbital interactions, the secondâorder perturbation energies tests, and noncovalent interaction (NCI) analysis are performed. The sensitivity of the adsorption will be increased when the gas molecule interacts with decorated nanotubes; therefore, the change of electronic properties can be used to design suitable nanosensors
Information needs on breast cancer genetic and non-genetic risk factors in relatives of women with a BRCA1/2 or PALB2 pathogenic variant
Objectives: Comprehensive breast cancer (BC) risk models integrating effects of genetic (GRF) and non-genetic risk factors (NGRF) may refine BC prevention recommendations. We explored the perceived information received on BC risk factors, and related characteristics, in female relatives of women with a BRCA1/2 or PALB2 pathogenic variant, undergoing BC risk assessment using the CanRisk(C) prediction tool.Methods: Of 200 consecutive cancer-free women approached after the initial genetic consultation, 161 (80.5%) filled in questionnaires on their perception of information received and wished further information on BC risk factors (e.g., being a carrier of a moderate risk altered gene, personal genetic profile, lifestyles). Multilevel multivariate linear models were performed accounting for the clinician who met the counselee and exploring the effect of counselees' socio-demographic, familial and psychological characteristics on the perceived extent of information received.Results: Perceived no/little information received and wish for further information were more frequent for NGRF (>50%) than for GRF, especially high-risk genes (<20%). Perceived amount of information received and desire for further information were inversely correlated (p=<0.0001). Higher education level related to lower perceived levels of information received on GRF. Younger counselees' age (beta = 0.13, p = 0.02) and less frequent engagement coping (e.g., inclination to solicit information) (beta = 0.24, p = 0.02) related to lower perceived information received about NGRF. Other assessed counselees' features were not found to be associated to GRF and NGRF information perception.Conclusions: Awareness of counselees' perceived lack of information on BC risk factors indicates a need to enhance evidence-based information on BC NGRF especially. (C) 2021 The Authors. Published by Elsevier Ltd.Genome Instability and Cance
Parenteral nutrition at the palliative phase of advanced cancer: the ALIM-K study protocol for a randomized controlled trial
Aqueous solution synthesis of reduced graphene oxide-germanium nanoparticles and their electrical property testing
Effects and moderators of exercise on quality of life and physical function in patients with cancer:An individual patient data meta-analysis of 34 RCTs
This individual patient data meta-analysis aimed to evaluate the effects of exercise on quality of life (QoL) and physical function (PF) in patients with cancer, and to identify moderator effects of demographic (age, sex, marital status, education), clinical (body mass index, cancer type, presence of metastasis), intervention-related (intervention timing, delivery mode and duration, and type of control group), and exercise-related (exercise frequency, intensity, type, time) characteristics.
Relevant published and unpublished studies were identified in September 2012 via PubMed, EMBASE, PsycINFO, and CINAHL, reference checking and personal communications. Principle investigators of all 69 eligible trials were requested to share IPD from their study. IPD from 34 randomised controlled trials (n=4,519 patients) that evaluated the effects of exercise compared to a usual care, wait-list or attention control group on QoL and PF in adult patients with cancer were retrieved and pooled. Linear mixed-effect models were used to evaluate the effects of the exercise on post-intervention outcome values (z-score) adjusting for baseline values. Moderator effects were studies by testing interactions.
Exercise significantly improved QoL (ÎČ=0.15, 95%CI=0.10;0.20) and PF (ÎČ=0.18,95%CI=0.13;0.23). The effects were not moderated by demographic, clinical or exercise characteristics. Effects on QoL (ÎČdifference_in_effect=0.13, 95%CI=0.03;0.22) and PF (ÎČdifference_in_effect=0.10, 95%CI=0.01;0.20) were significantly larger for supervised than unsupervised interventions.
In conclusion, exercise, and particularly supervised exercise, effectively improves QoL and PF in patients with cancer with different demographic and clinical characteristics during and following treatment. Although effect sizes are small, there is consistent empirical evidence to support implementation of exercise as part of cancer care
Propensity score matching (PSM) and regression adjustment for causal inference in non-randomized studies with health-related quality of life (HRQoL) outcomes
We investigate the performance of propensity score matching (PSM) and multiple linear regression (MLR), both individually or combined, on simulated non-randomized Health Related Quality of Life (HRQoL) data. We examine whether the combined use of propensity score matching with multiple linear regression adjustment (PSMRA) produces more reliable estimates of the average treatment effect on the treated (ATT), than those obtained using either PSM or MLR alone
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