Rationale: The synergy between poverty, socio-cultural, psychosocial and biological risk factors influences neurocognitive outcomes in children. In a LMIC like ours where children are growing up at a disadvantage, it is important the child's future potential and productivity. To the best of the investigators knowledge limited information, there is no data in this area from Pakistan. Data to assess the neurocognitive and psychological outcomes of children during this vulnerable period and to design interventions which may help to improve from this study will be enable the assessment of direction and magnitude of effects, identify high risk children whom would benefit from individual treatment and, with this knowledge, enhance family support Study Design and Site A prospective cohort study with a follow-up of 12 months. The study will be conducted at the Aga Khan University Hospital (AKUH) and Jinnah post graduate Medical Centre (JPMC). The participants will be recruited from the neurosurgery/oncology clinics.
Study Participants The study participants will be 5 to 21 years old children with newly diagnosed brain tumors and blood cancer presenting with any stage, who have not undergone any treatment
Sampling strategy Purposive sampling technique will be used for selecting the participants. The target population, that is, brain tumor and blood cancer children who have not received cancer treatment, will be approached by trained psychologist.
Sample size: With a mean difference of neurocognitive outcome ranging from 15 to 23 and difference of standard deviation ranging from 14 to 27, from pretreatment to 12 months post treatment .And with a mean difference of Quality of life ranging from 9 to 16 and difference of standard deviation ranging from 18 to 19 . With a power of 80% and level of significance of 5%. However, the investigators calculated the sample size using two population mean in order to compare the mean neurocognitive and psychological scores of the two groups. With an anticipated mean difference of 6, a standard deviation of 15 for the two groups, a level of significance of 5%, and power of 80%. Therefore the final sample size will be 80 patients ( 40 pediatric brain tumor patients and 40 blood cancer patients), with a 10% inflation for loss to follow-up
Data collection The children with brain tumor and blood cancer will be recruited from the surgery/ pediatric oncology clinics AKUH. Screening tool will be administered for eligibility of the study participant for the study. The Pediatric Quality of Life Inventory , PedsQL family information form will be completed by the parents that contains demographic information required to calculate Hollingshead socioeconomic status (SES). Information will also be collected on; tumor and treatment related factors, histopathology, family history, nutritional status, consanguinity and perinatal risk factors and molecular expression analysis chart on a structured questionnaire for pediatric brain tumor patients and blood cancer patients
The neurocognitive outcomes of the eligible children will be assessed by a psychologist at baseline i.e., before treatment and 12 months post-treatment. It will be assessed by the Slosson Intelligence tool Revised 3rd edition (SIT-R3) and Raven's Progressive Matrices (RPM).The progressing speed will be assessed by Wechsler Intelligence Scale for children (WISC V) and Wechsler Adult Intelligence Scale (WAIS-IV)
Plan of Analysis Data will be analyzed using STATA version 15. Results will be presented as mean and standard error/ median , interquartile range (IQR) for cognitive outcomes, quality of life (QoL) scores and financial burden scores. Pretreatment and 12 months post treatment scores will be assessed by paired t test/ wilcoxon sign rank test as appropriate. Categorical variables will be reported as frequency and percentages and will be assessed by chi-square/ fisher exact test. Correlation analysis will be preformed to assess relationship of child's neurocognitive outcome scores with QoL scores and child's QoL scores with the parents QoL scores. Unadjusted and adjusted beta coefficient with 95% CI will be reported by using Linear mixed effects models (LMEMs) to determine the association of various independent factors such as child factors (demographic factors), parental factors (educational status, socioeconomic status, prenatal exposure/ infections) , tumor and treatment related factors with the neurocognitive outcomes and QoL. We will adjust for the independent variables and determine the association of factors causing a greater decline in outcomes by multivariable Linear mixed effects models (LMEMs) . Plausible interactions will also be assessed. A p value of \< 0.05 will be considered as significant throughout the study
