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Aim: To assess the relationship between psychological distress and quality of life (QoL), cancer-related fatigue (CRF), and chemotherapy efficacy in advanced gastric cancer patients. Methods: Advanced gastric cancer patients (39 with psychological distress and 35 without psychological distress) completed the Distress Thermometer (DT), QoL, and CRF test before receiving chemotherapy and assessed the efficacy after completing 2 courses of chemotherapy. Results: Psychological distress was a significant factor in the efficacy of chemotherapy in advanced gastric cancer patients (χ2 = 6.324; p = 0.042). Compared to advanced gastric cancer patients with no psychological distress, advanced gastric cancer patients with psychological distress had a poorer QoL (50.41 ± 6.17 vs. 60.01 ± 7.94, t = − 5.882, p < 0.01) and more pronounced CRF (5.75 ± 1.16 vs. 3.22 ± 0.75, t = 11.231, p < 0.01) while receiving chemotherapy. FACT-G (p = 0.0035, r = − 0.4568), as well as PFS (p < 0.0001, r = 0.6599), correlated significantly with efficacy for patients in the psychological distress group. The FACT-G (p = 0.0134, r = − 0.4139) of patients in the no psychological distress group correlated significantly with efficacy. Conclusion: Psychological distress has a negative impact on QoL, CRF, and efficacy and may be a potential risk for the efficacy of palliative chemotherapy in advanced gastric cancer patients. [ABSTRACT FROM AUTHOR]

Purpose: To explore psycho-oncologists’ knowledge of cancer-related fatigue and their self-efficacy to intervene for fatigue. We further aimed to examine the role of fatigue in psycho-oncological training and derive specific suggestions for improvements. Methods: For this cross-sectional survey study, psycho-oncologists working in Germany were systematically recruited via an address directory or invited by training institutes or colleagues. The online survey encompassed questions on knowledge of fatigue guidelines and interventions, self-efficacy, counseling, and fatigue in professional training. Data were analyzed descriptively and using Mann-Whitney U tests. A logistic regression analysis was performed to identify variables linked to fatigue guideline knowledge. Results: Seventy two percent of the 144 surveyed psycho-oncologists stated not knowing any fatigue-specific guidelines. Those unaware of guidelines reported a lower self-efficacy to intervene for fatigue. However, despite low knowledge of the guidelines, more than 80% of the participants felt well informed about fatigue and reported high self-efficacy. Most participants were aware of the empirical evidence for psychotherapeutic interventions (95%); everyday physical activity, e.g., taking a walk (98%); yoga (82%); and mindfulness-based interventions (82%). Knowledge gaps existed concerning the evidence of resistance/endurance training for treating fatigue. Knowing that resistance/endurance training is an effective treatment was related to an increased frequency to recommend it to patients. Suggestions to improve training for psycho-oncologists included raising awareness earlier in the career path and offering multidisciplinary trainings for fatigue. Conclusion: To improve fatigue-related guideline knowledge among psycho-oncologists and enhance implementation into clinical practice multidisciplinary trainings are needed. Psycho-oncologists should play an important role in fatigue management. Trial registration: , identifier: NCT04921644. Registered in June 2021. [ABSTRACT FROM AUTHOR]

Purpose: Cancer-related fatigue (CRF) is the most common symptom in cancer patients and may interfere with patients’ daily activities and decrease survival rate. However, the etiology of CRF has not been identified. Diagnosing CRF is challenging. Thus, our study aimed to develop a CRF prediction model in cancer patients, using data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model and externally validate this model in an independent dataset collected from another hospital. Methods: Between April 2022 and September 2022, a cross-sectional study was conducted on adult cancer patients at two first-class tertiary hospitals in China. Data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model were collected. The outcome measure was according to ICD-10 diagnostic criteria for CRF. Data from one hospital (n = 305) were used for model development and internal validation. An independent data set from another hospital (n = 260) was utilized for external validation. logistic regression, random forest (RF), Naive Bayes (NB), and extreme gradient boosting (XGBoost) were constructed and compared. The model performance was evaluated in terms of both discrimination and calibration. Results: The prevalence of CRF in the two centers was 57.9% and 56.1%, respectively. The Random Forest model achieved the highest AUC of 0.86 among the four types of classifiers in the internal validation. The AUC of RF and NB were above 0.7 in the external validation, suggesting that the models also have an acceptable generalization ability. Conclusions: The incidence of CRF remains high and deserves more attention. The fatigue prediction model based on the 3P theory can accurately predict the risk of CRF. Nonlinear algorithms such as Random Forest and Naive Bayes are more suitable for diagnosing and evaluating symptoms. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the patients' perspective on feasibility of using a fatigue diary and its benefits on self-management.Methods: This longitudinal study enrolled 50 cancer patients in routine care. Following baseline (t0) assessment, patients were asked to complete a 7-day fatigue diary and subsequently obtained written diary evaluation. Feasibility, benefits, and fatigue-related attitudes were assessed via self-report 1 (t1) and 4 months (t2) after distributing the diary. Data were analyzed descriptively and using Wilcoxon signed-rank tests.Results: Most patients (94%) completed the diary for 7 days and rated feasibility as high. After diary completion and receiving the evaluation, fewer patients felt helpless in the face of fatigue (t1: 21% vs. t0: 53%). Additionally, more patients addressed fatigue with their general practitioner (t2: 49% vs. t0: 36%) and pro-actively searched for information and help (t2: 59% vs. t0: 38%). The diary enabled a majority of patients to be aware of their fatigue patterns, to plan daily routines accordingly and to take adequate actions against fatigue.Conclusion: The study showed that symptom monitoring via a fatigue diary was considered feasible and enhanced self-management in cancer patients. Thus, fatigue diaries might be a useful measure contributing to an improved fatigue management. The results reinforce guideline recommendations for routine application of fatigue diaries in clinical care. Healthcare professionals should encourage patients to fatigue diary use and provide individually tailored counseling based on diary entries. [ABSTRACT FROM AUTHOR]