49 research outputs found
Psychological Outcomes and Quality of Life in Relation to Pancreatectomy
International audienceThis review aimed to inventory and analyze previous studies regarding quality of life (QoL) and psychological outcomes in relation to pancreatectomy. PubMed and PsycInfo databases were reviewed using the Preferred Reporting Items for Systematic review and Meta-Analysis guidelines. Thirteen studies were selected, 9 of which focused on the QoL after surgery. Quality of life significantly improved 3 to 6 months after surgery. Regarding the postoperative experience, one study reported high fear of recurrence of cancer, whereas another emphasized various expressions of patient needs. One study explained how strategy and ability to adapt are not related to the type, the cause, nor the physical condition, but are mainly influenced by the age and the subjective experience of the patients. A last study showed that depression did not affect survival rate after surgery. Our systematic review found only few studies regarding the psychological condition after pancreatectomy and highlights the need to describe and characterize the patients' psychological characteristics in this setting
Blood dendritic cells in patients with chronic lymphocytic leukaemia.
International audienceMyeloid and plasmacytoid dendritic cells (MDC, PDC) play a key role in the initiation of immune responses. We found a reduction of both DC subsets in 42 patients with chronic lymphocytic leukaemia (CLL) at diagnosis (P<0.0001 and 0.0001 vs. controls, respectively), likely related to the high secretion of CCL22 and CXCL12 (P=0.04 and 0.008 vs. controls, respectively) by leukaemic cells. However, CD14+ monocytes from CLL patients could give rise to functional IL-12p70-secreting monocyte-derived DCs, capable of inducing a type 1 polarization immunostimulatory profile. These monocyte-derived DCs from CLL patients efficiently migrate in response to CCL19/MIP-3beta chemokine, suggesting that functional autologous DCs can be generated for immunotherapeutic purposes to circumvent DC defects in CLL
Patients' Non-Medical Characteristics Contribute to Collective Medical Decision-Making at Multidisciplinary Oncological Team Meetings.
BACKGROUND:The contribution of patients' non-medical characteristics to individual physicians' decision-making has attracted considerable attention, but little information is available on this topic in the context of collective decision-making. Medical decision-making at cancer centres is currently carried out using a collective approach, at MultiDisciplinary Team (MDT) meetings. The aim of this study was to determine how patients' non-medical characteristics are presented at MDT meetings and how this information may affect the team's final medical decisions. DESIGN:Observations were conducted at a French Cancer Centre during MDT meetings at which non-standard cases involving some uncertainty were discussed from March to May 2014. Physicians' verbal statements and predefined contextual parameters were collected with a non-participant observational approach. Non numerical data collected in the form of open notes were then coded for quantitative analysis. Univariate and multivariate statistical analyses were performed. RESULTS:In the final sample of patients' records included and discussed (N = 290), non-medical characteristics were mentioned in 32.8% (n = 95) of the cases. These characteristics corresponded to demographics in 22.8% (n = 66) of the cases, psychological data in 11.7% (n = 34), and relational data in 6.2% (n = 18). The patient's age and his/her "likeability" were the most frequently mentioned characteristics. In 17.9% of the cases discussed, the final decision was deferred: this outcome was positively associated with the patients' non-medical characteristics and with uncertainty about the outcome of the therapeutic options available. LIMITATIONS:The design of the study made it difficult to draw definite cause-and-effect conclusions. CONCLUSION:The Social Representations approach suggests that patients' non-medical characteristics constitute a kind of tacit professional knowledge that may be frequently mobilised in physicians' everyday professional practice. The links observed between patients' attributes and the medical decisions made at these meetings show that these attributes should be taken into account in order to understand how medical decisions are reached in difficult situations of this kind
Prolymphocytic Leukemia New Insights in Diagnosis and in Treatment
We aimed to produce a comprehensive update on clinical and biological data regarding two rare lymphoid neoplasms, B and T prolymphocytic leukemias, and assess therapeutic management in the light of new molecular insights and the advent of targeted therapies
Post-remission intervention with alemtuzumab or rituximab to eradicate minimal residual disease in chronic lymphocytic leukemia: where do we stand?
The introduction of purine nucleoside analogs, later in combination with alkylating moieties and anti-CD20 immunotherapy, has profoundly improved the response rate and response duration in patients with chronic lymphocytic leukemia (CLL). The quality of clinical response following treatment may be improved to a level where residual leukemic cells become undetectable. As patients with this type of response appear to have extended survival rates, minimal residual disease (MRD) eradication is considered a new objective in CLL treatment with the aim of improving progression-free survival (PFS) and potentially overall survival (OS). This review therefore aims to overview the prognostic value of MRD eradication in CLL, the role of post-remission intervention with "passive" immunotherapy (alemtuzumab or rituximab) so as to eliminate persistent MRD or prevent MRD relapse, the impact of these strategies on disease-free survival and their possible adverse consequences. The data indicate a potential for post-remission alemtuzumab or rituximab to prolong PFS in CLL, although more investigations and longer follow-up are required before MRD-guided strategies can be recommended outside of clinical trials
Factors associated with the mention of patients’ non-medical characteristics: univariate and multivariate comparisons (logistic regression).
<p>Factors associated with the mention of patients’ non-medical characteristics: univariate and multivariate comparisons (logistic regression).</p
Strategy of case-records selection for the analysis.
<p>Strategy of case-records selection for the analysis.</p
Factors associated with final decisions made at MDT meetings: Univariate and multivariate comparisons (logistic regression).
<p>Factors associated with final decisions made at MDT meetings: Univariate and multivariate comparisons (logistic regression).</p
Distribution of patients’ non-medical characteristics mentioned at MDT meetings (N = 95 cases).
<p>Distribution of patients’ non-medical characteristics mentioned at MDT meetings (N = 95 cases).</p