School of Mathematics and Statistics - Research Publications
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ItemMeta -analysis of average change in laboratory-measured HbA1c among people with type 1 diabetes mellitus using the 14 day Flash Glucose Monitoring System(ELSEVIER IRELAND LTD, 2020-06-01)AIM: FreeStyle Libre™ Flash Glucose Monitoring System (Flash GM), a novel, sensor-based, factory-calibrated system has been compared with self-monitoring of blood glucose in a well-controlled adult type 1 diabetes mellitus (T1D) population (HbA1c ≤ 7.5%, 58 mmol/mol), in a randomized controlled trial (RCT). The need for RCTs to recruit homogenous patients and for a well-controlled environment may not necessarily reflect use of a new technology in real clinical practice. METHODS: A random effects meta-analysis of all identified studies in T1D was performed to investigate changes in laboratory-measured HbA1c following introduction of Flash GM. RESULTS: Flash GM introduction showed a mean change from baseline to longest follow-up timepoint of -0.41% ([95% CI -0.51%, -0.31%]; P < 0.001; -4.5 [95% CI -5.6, -3.3] mmol/mol) in HbA1c in the random effects meta-analysis (34 studies comprising 5,466 participants). When the Flash GM arms of the two RCTs were excluded, there was a similar change in HbA1c of -0.41% ([95% CI -0.50%, -0.32%], P < 0.001; -4.5 [95% CI -5.4, -3.5] mmol/mol) in the 32 uncontrolled studies. Considerable heterogeneity was shown in all meta-analyses (I2 values > 85%), likely due to the inclusion of diverse populations and variations in study protocols, meaning random effects meta-analyses should be strongly preferred. CONCLUSIONS: In people with T1D, use of Flash GM for 2 to 24 months was associated with an estimated HbA1c reduction from baseline of 0.4%. A similar reduction occurred in uncontrolled studies where baseline HbA1c was generally higher compared with Flash GM arms of well-controlled studies.
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ItemResponse to physical rehabilitation and recovery trajectories following critical illness: individual participant data meta-analysis protocol(BMJ PUBLISHING GROUP, 2020-05)INTRODUCTION: The number of inconclusive physical rehabilitation randomised controlled trials for patients with critical illness is increasing. Evidence suggests critical illness patient subgroups may exist that benefit from targeted physical rehabilitation interventions that could improve their recovery trajectory. We aim to identify critical illness patient subgroups that respond to physical rehabilitation and map recovery trajectories according to physical function and quality of life outcomes. Additionally, the utilisation of healthcare resources will be examined for subgroups identified. METHODS AND ANALYSIS: This is an individual participant data meta-analysis protocol. A systematic literature review was conducted for randomised controlled trials that delivered additional physical rehabilitation for patients with critical illness during their acute hospital stay, assessed chronic disease burden, with a minimum follow-up period of 3 months measuring performance-based physical function and health-related quality of life outcomes. From 2178 records retrieved in the systematic literature review, four eligible trials were identified by two independent reviewers. Principal investigators of eligible trials were invited to contribute their data to this individual participant data meta-analysis. Risk of bias will be assessed (Cochrane risk of bias tool for randomised trials). Participant and trial characteristics, interventions and outcomes data of included studies will be summarised. Meta-analyses will entail a one-stage model, which will account for the heterogeneity across and the clustering between studies. Multiple imputation using chained equations will be used to account for the missing data. ETHICS AND DISSEMINATION: This individual participant data meta-analysis does not require ethical review as anonymised participant data will be used and no new data collected. Additionally, eligible trials were granted approval by institutional review boards or research ethics committees and informed consent was provided for participants. Data sharing agreements are in place permitting contribution of data. The study findings will be disseminated at conferences and through peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42019152526.
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ItemHigh-dimensional analyses reveal a distinct role of T-cell subsets in the immune microenvironment of gastric cancer(WILEY, 2020-05)OBJECTIVES: To facilitate disease prognosis and improve precise immunotherapy of gastric cancer (GC) patients, a comprehensive study integrating immune cellular and molecular analyses on tumor tissues and peripheral blood was performed. METHODS: The association of GC patients' outcomes and the immune context of their tumors was explored using multiplex immunohistochemistry (mIHC) and transcriptome profiling. Potential immune dysfunction mechanism/s in the tumors on the systemic level was further examined using mass cytometry (CyTOF) in complementary peripheral blood from selected patients. GC cohorts with mIHC and gene expression profiling data were also used as validation cohorts. RESULTS: Increased CD4+FOXP3+ T-cell density in the GC tumor correlated with prolonged survival. Interestingly, CD4+FOXP3+ T cells had a close interaction with CD8+ T cells rather than tumor cells. High densities of CD4+FOXP3+ T cells and CD8+ T cells (High-High) independently predicted prolonged patient survival. Furthermore, the interferon-gamma (IFN-γ) gene signature and PDL1 expression were up-regulated in this group. Importantly, a subgroup of genomically stable (GS) tumors and tumors with chromosomal instability (CIN) within this High-High group also had excellent survival. The High-High GS/CIN tumors were coupled with increased frequencies of Tbet+CD4+ T cells and central memory CD4+ T cells in the peripheral blood. CONCLUSION: These novel findings identify the combination of CD8+ T cells and FOXP3+CD4+ T cells as a significant prognostic marker for GC patients, which also could potentially be targeted and applied in the combination therapy with immune checkpoint blockades in precision medicine.