METHODS: The principles of focused ethnography underpinned the study design. Fieldwork took place over six months in one 32-bedded paediatric oncology ward. Twenty-one children, ranging in ages from 7 to 12 years diagnosed with leukaemia, their parents and 19 nurses participated. Data collection consisted of participant observation and semi-structured interview.
RESULTS: Hospitalized children employed different roles of passive or active participants during the communication and decisions about their nursing care. Importantly, children are more likely to become active participants in the communication process when nurses interact directly with them, listening to them and giving them opportunities to ask questions in either the presence or absence of their parents. Equally, children are likely to be more passive participants when nurses do not communicate directly with them, choosing instead to directly interact with the child's parents. This study highlighted that the role of children as active and passive participants is not permanently engaged by individual children, rather their role fluctuates throughout the hospitalization journey. The fluctuations of a child's role are highly dependent on their preferences: how and when they want to be included in the communication and decisions process. Children's roles in communication and decisions are also varied and dependent on their particular contexts. A child's participation in one situation does not consistently reflect their participation with their role in other situations. The ways in which the children participate were oscillated throughout their hospitalization.
CONCLUSIONS: This study provides empirical insight into children's experiences of triadic (child-nurse-parent) interaction during the decisions about their nursing care in paediatric oncological setting. A key recommendation calls for the development of assessment strategies to determine the 'ideal' position children would like to occupy, at any given point in time, throughout their hospitalization.
METHODS: 50 asymptomatic (subjects have remained leukemia-free since treatment cessation) CLS and 50 healthy controls were recruited in this cross-sectional study. Of 50 CLS, 44 had acute lymphoblastic leukemia and 6 had acute myeloid leukemia. G-banded karyotyping was performed on unstimulated peripheral blood leukocytes of all subjects.
RESULTS: CLS had significantly higher occurrence of karyotypic abnormalities compared to controls. Five CLS harbored six nonclonal abnormalities (mostly aneuploidy) while none were found in controls.
CONCLUSION: Subpopulations with nonclonal chromosomal aberrations were present in peripheral blood leukocytes of our cohort of childhood leukemia long-term survivors.
MATERIALS AND METHODS: A data set of 91 patients with high-risk acute lymphoblastic leukemia (ALL) followed for five years from 1982 to 1987 was chosen for fitting the mixture cure model. We used the maximum likelihood estimation technique via R software 3.6.2 to obtain the estimates for parameters of the proposed model in the existence of cure rate, censored data, and covariates. For the best model choice, the Akaike information criterion (AIC) was implemented.
RESULTS: After comparing different parametric models fitted to the data, including or excluding cure fraction, without covariates, the smallest AIC values were obtained by the EW and the GMW distributions, (953.31/969.35) and (955.84/975.99), respectively. Besides, assuming a mixture cure model based on GMW with covariates, an estimated ratio between cure fractions for allogeneic and autologous bone marrow transplant groups (and its 95% confidence intervals) were 1.42972 (95% CI: 1.18614 - 1.72955).
CONCLUSION: The results of this study reveal that the EW and the GMW distributions are the best choices for the survival times of Leukemia patients.
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METHODS: We used multiplex array technology to simultaneously detect and quantify 32 plasma analyte (22 reported analytes and 10 novel analytes) levels in 38 patients.
RESULTS: In our study, 16 analytes are found to be significantly deregulated (13 higher, 3 lower, Mann-Whitney U-test, P-value <0.005), where 5 of them have never been reported before in AML. We predicted a seven-analyte-containing multiplex panel for diagnosis of AML and, among them, MIF could be a possible therapeutic target. In addition, we observed that circulating analytes show five co-expression signatures.
CONCLUSIONS: Circulating analyte expression in AML significantly differs from normal, and follow distinct expression patterns.
OBJECTIVE: To evaluate the association of genetic ancestry with childhood ALL molecular subtypes and outcomes of modern ALL therapy.
DESIGN, SETTING, AND PARTICIPANTS: This multinational, multicenter genetic association study was conducted from March 1, 2000, to November 20, 2020, among 2428 children and adolescents with ALL enrolled in frontline trials from the United States, South East Asia (Singapore and Malaysia), and Latin America (Guatemala), representing diverse populations of European, African, Native American, East Asian, and South Asian descent. Statistical analysis was conducted from February 3, 2020, to April 19, 2021.
MAIN OUTCOMES AND MEASURES: Molecular subtypes of ALL and genetic ancestry were comprehensively characterized by performing RNA sequencing. Associations of genetic ancestries with ALL molecular subtypes and treatment outcomes were then evaluated.
RESULTS: Among the participants in the study, 1340 of 2318 (57.8%) were male, and the mean (SD) age was 7.8 (5.3) years. Of 21 ALL subtypes identified, 8 were associated with ancestry. East Asian ancestry was positively associated with the frequency of somatic DUX4 (odds ratio [OR], 1.30 [95% CI, 1.16-1.45]; P
METHODS: Haematological cancer cases with ICD-10 coded C81-C96 and ICD-O coded /3 diagnosed from 1996 to 2015 were retrieved from Sarawak Cancer Registry. Adult was defined as those 15 years and above. Incidence rate (IR) was calculated based on yearly Sarawak citizen population stratified to age, gender, and ethnic groups. Age-standardised IR (ASR) was calculated using Segi World Standard Population.
RESULTS: A total of 3,947 cases were retrieved and analysed. ASR was 10 and male predominance (IR ratio 1.32, 95%CI 1.24,1.41). Haematological cancers generally had a U-shaped distribution with lowest IR at age 10-14 years and exponential increment from age 40 years onwards, except acute lymphoblastic leukaemia (ALL) with highest IR in paediatric 2.8 versus adult 0.5. There was a significant difference in ethnic and specific categories of haematological cancers, of which, in general, Bidayuh (IR ratio 1.13, 95%CI 1.00, 1.27) and Melanau (IR ratio 0.54, 95%CI 0.45, 0.65) had the highest and lowest ethnic-specific IR, respectively, in comparison to Malay. The ASR (non-Hodgkin lymphoma, acute myeloid leukaemia, ALL, chronic myeloid leukaemia, and plasma cell neoplasm) showed a decreasing trend over the 20 years, -2.09 in general, while Hodgkin lymphoma showed an increasing trend of + 2.80. There was crude rate difference between the 11 administrative divisions of Sarawak.
CONCLUSIONS: This study provided the IR and ASR of haematological cancers in Sarawak for comparison to other regions of the world. Ethnic diversity in Sarawak resulted in significant differences in IR and ASR.