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Nevin Manimala Statistics

Fluctuations of non-ergodic stochastic processes

Eur Phys J E Soft Matter. 2021 Apr 18;44(4):54. doi: 10.1140/epje/s10189-021-00070-5.

ABSTRACT

We investigate the standard deviation [Formula: see text] of the variance [Formula: see text] of time series [Formula: see text] measured over a finite sampling time [Formula: see text] focusing on non-ergodic systems where independent “configurations” c get trapped in meta-basins of a generalized phase space. It is thus relevant in which order averages over the configurations c and over time series k of a configuration c are performed. Three variances of [Formula: see text] must be distinguished: the total variance [Formula: see text] and its contributions [Formula: see text], the typical internal variance within the meta-basins, and [Formula: see text], characterizing the dispersion between the different basins. We discuss simplifications for physical systems where the stochastic variable x(t) is due to a density field averaged over a large system volume V. The relations are illustrated for the shear-stress fluctuations in quenched elastic networks and low-temperature glasses formed by polydisperse particles and free-standing polymer films. The different statistics of [Formula: see text] and [Formula: see text] are manifested by their different system-size dependences.

PMID:33866449 | DOI:10.1140/epje/s10189-021-00070-5

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Nevin Manimala Statistics

Clinical Implications of Combined Lymphocyte and Neutrophil Count in Locally Advanced Rectal Cancer After Preoperative Chemoradiotherapy

World J Surg. 2021 Apr 17. doi: 10.1007/s00268-021-06126-z. Online ahead of print.

ABSTRACT

BACKGROUND: There are controversies about the ability of neutrophil to lymphocyte ratio to predict the recurrence and survival in patients with locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation. The objective of this study is to investigate the prognostic potential of combined lymphocyte count (LC) and neutrophil count (NC) in LARC patients treated with chemoradiotherapy (CRT) followed by curative surgery.

METHODS: Patients with LARC who underwent surgical resection between January 2010 and December 2017 were reviewed retrospectively. We divided the patients into three groups: high LC and low NC, low LC and high NC, and the remaining patients. The cut-off values of LC and NC were determined by receiver operating characteristic curve analysis and log-rank test statistics. We compared the disease-free survival (DFS) rate between the groups.

RESULTS: A total of 176 consecutive patients were included in this study. The 5 year DFS rate was significantly different among the three groups in pathologic node (pN)+ patients (73.2% vs. 61.9% vs. 14.2%; P = 0.025). Cox multivariate analysis for pN+ patients demonstrated that combination of low LC and high NC (hazard ratio, 3.630; 95% confidence interval [CI], 1.306-10.093; P = 0.013) was significantly correlated with decreased DFS.

CONCLUSIONS: This study showed that the combination of LC and NC is a powerful predictive factor for disease recurrence in pN+ LARC patients who underwent CRT.

PMID:33866423 | DOI:10.1007/s00268-021-06126-z

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Nevin Manimala Statistics

Water and Soil Pollution: Ecological Environmental Study Methodologies Useful for Public Health Projects. A Literature Review

Rev Environ Contam Toxicol. 2021 Apr 19. doi: 10.1007/398_2020_58. Online ahead of print.

ABSTRACT

Health risks at population level may be investigated with different types of environmental studies depending on access to data and funds. Options include ecological studies, case-control studies with individual interviews and human sample analysis, risk assessment or cohort studies. Most public health projects use data and methodologies already available due to the cost of ad-hoc data collection. The aim of the article is to perform a literature review of environmental exposure and health outcomes with main focus on methodologies for assessing an association between water and/or soil pollutants and cancer. A systematic literature search was performed in May 2019 using PubMed. Articles were assessed by four independent reviewers. Forty articles were identified and divided into four groups, according to the data and methods they used, i.e.: (1) regression models with data by geographical area; (2) regression models with data at individual level; (3) exposure intensity threshold values for evaluating health outcome trends; (4) analyses of distance between source of pollutant and health outcome clusters. The issue of exposure assessment has been investigated for over 40 years and the most important innovations regard technologies developed to measure pollutants, statistical methodologies to assess exposure, and software development. Thanks to these changes, it has been possible to develop and apply geo-coding and statistical methods to reduce the ecological bias when considering the relationship between humans, geographic areas, pollutants, and health outcomes. The results of the present review may contribute to optimize the use of public health resources.

PMID:33866420 | DOI:10.1007/398_2020_58

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Nevin Manimala Statistics

The exploration of quantitative intra-tumoral metabolic heterogeneity in dual-time 18F-FDG PET/CT of pancreatic cancer

Abdom Radiol (NY). 2021 Apr 18. doi: 10.1007/s00261-021-03068-x. Online ahead of print.

ABSTRACT

PURPOSE: We aimed to analyze the change of quantitative intra-tumoral metabolic heterogeneity consisting of texture features and conventional metabolic parameters of pancreatic cancer (PC) in dual-time 2-deoxy-2(18F) fluoro-D-glucose (18F-FDG) positron emission tomography-computed tomography (PET/CT).

METHODS: A retrospective analysis was conducted considering the texture features and conventional metabolic parameters in dual-time 18F-FDG PET/CT scans of PC patients. Features were extracted based on spatial distribution of 18F-FDG uptake in image. Firstly, the texture features and the conventional metabolic parameters of the delayed scan were both compared with that of the early scan. Statistically different data was defined among them. Secondly, the study evaluated the correlations between retention index (RI) of the texture features and the conventional metabolic parameters. Finally, the variation of texture features in dual-time PET/CT of resectable PC patients and unresectable PC patients was calculated separately.

RESULTS: In total, 183 PC patients were analyzed retrospectively in this research. The conventional metabolic parameters were all statistically different between the early and delayed scans except for metabolic tumor volume (MTV). In the radiomics, there were 59 textural features. Nineteen of 59 texture features were statistically different between the early and delayed scans. Features that were more than 10% different during two scans were observed in a substantial percentage of patients. Weak correlations were only found between MTV, TLG (Total lesion glycolysis), SUVpeak and the RI of some texture features in early or delayed scans. There were obviously fewer features with significant difference in resectable PC group than in unresectable PC group. Most features showing the difference in unresectable group while no significant difference in resectable group.

CONCLUSIONS: This study investigated the change and inner correlations of quantitative tumoral metabolic heterogeneity in the dual-time 18F-FDG-PET/CT scan of PC patients. Some features displayed the difference between dual-time scans. Conventional metabolic parameters were weakly related to the change of texture feature. The change of texture feature in resectable PC group was different from that in unresectable PC group. This result is potential to provide more information for the image evaluation of PC.

PMID:33866381 | DOI:10.1007/s00261-021-03068-x

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Nevin Manimala Statistics

Modified Glasgow Prognostic Score is predictive of prognosis for non-small cell lung cancer patients treated with stereotactic body radiation therapy: a retrospective study

J Radiat Res. 2021 Apr 19:rrab021. doi: 10.1093/jrr/rrab021. Online ahead of print.

ABSTRACT

We aimed to assess the predictive value of the modified Glasgow prognostic score (mGPS) in patients with non-small cell lung cancer (NSCLC) who underwent stereotactic body radiation therapy (SBRT). We retrospectively reviewed the records of 207 patients, with a median age of 79 years. The pretreatment mGPS was calculated and categorized as high (mGPS = 1-2) or low (mGPS = 0). The median follow-up duration was 40.7 months. The five-year overall survival (OS), progression-free survival (PFS) and time to progression (TTP) rates were 44.3%, 36% and 54.4%, respectively. Multivariate analysis revealed that mGPS was independently predictive of OS (hazard ratio [HR] 1.67; 95% confidence interval 1.14-2.44: P = 0.009), PFS (HR 1.58; 1.10-2.28: P = 0.014) and TTP (HR 1.66; 1.03-2.68: P = 0.039). Patients who had high mGPS showed significantly worse OS (33.3 vs 64.5 months, P = 0.003) and worse PFS (23.8 vs 39 months, P = 0.008) than those who had low mGPS. The data showed a trend that patients with high mGPS suffered earlier progression compared to those with low mGPS (54.3 vs 88.1 months, P = 0.149). We confirmed that mGPS is independently predictive of prognosis in NSCLC patients treated with SBRT.

PMID:33866376 | DOI:10.1093/jrr/rrab021

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Nevin Manimala Statistics

Feasibility of a voice-enabled medical diary app (SpeakHealth) with caregivers of children with special healthcare needs and healthcare providers: A mixed methods study

JMIR Form Res. 2021 Apr 17. doi: 10.2196/25503. Online ahead of print.

ABSTRACT

BACKGROUND: Children with special health care needs (CSHCN) require more than the usual care management and coordination efforts from caregivers and health care providers (HCP). Health information and communication technologies can potentially facilitate these efforts in order to increase the quality of care received by CSHCN.

OBJECTIVE: In this study, we assessed the feasibility of a voice-enabled medical diary app (SpeakHealth) by investigating its potential use among caregivers and HCPs.

METHODS: Following a mixed methods approach, caregivers of CSHCN were interviewed (n=10) and surveyed (n=86) about their care management and communication technology use. Only interviewed participants were introduced to the SpeakHealth app prototype, and they tested the app during the interview session. In addition, we interviewed complex care HCPs (n=15) to understand their perception of the value of a home medical diary like the SpeakHealth app. Quantitative data was analyzed through descriptive statistics and correlational analysis. Theoretical thematic analysis was used for analyzing qualitative data.

RESULTS: Survey results reported a positive attitude towards voice enabled technology and features, however there was no strong correlation among measured items. Caregivers identified communication, information sharing, tracking medication and appointments as fairly and highly important features in the app. Qualitative analysis revealed 2 overarching themes: “Enablers and barriers in care communication” and “Enablers and barriers in communication technologies”. Subthemes included parent roles, care communication technologies and challenges. HCPs found the SpeakHealth app promising for timely information collection that could be available for sharing with the health system. Overall, the findings demonstrated a variety of needs and challenges for caregivers of CSHCN as well as opportunities for voice interactive medical diary apps in care management and coordination. Caregivers fundamentally look for better information sharing and communication with HCP. Healthcare and communication technologies can potentially improve care communications and coordination addressing the needs.

CONCLUSIONS: We believe the perspectives of caregivers and providers suggested both benefits and challenges in using the SpeakHealth app for medical note-taking and health events tracking at home. Our findings could inform researchers and developers about the potential development and use of a voice-enabled medical diary app.

PMID:33865233 | DOI:10.2196/25503

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Nevin Manimala Statistics

Impact of Immunoablation and Autologous Hematopoietic Stem Cell Transplantation (AHSCT) on Treatment Cost of Multiple Sclerosis: Real-World Nationwide Study

Value Health Reg Issues. 2021 Apr 14;25:104-107. doi: 10.1016/j.vhri.2020.10.008. Online ahead of print.

ABSTRACT

OBJECTIVES: To provide real-world data on the impact of autologous hematopoietic stem cell transplantation (AHSCT) on treatment costs of patients with multiple sclerosis (MS) in Poland.

METHODS: Medical data of 105 patients who underwent AHSCT in the years 2011 to 2016 were obtained from the National Health Fund (NHF) database. Treatment costs were calculated from the public payer’s perspective per patient-year for the total available period as well as 12 months before and after AHSCT. The statistical analysis was performed using MATLAB 2016b.

RESULTS: Mean treatment-related costs covered by the NHF per patient-year before and after the transplantation were €4314.9 and €1188.8 , respectively. The average cost of disease-modifying drugs per patient was reduced from €2497.9/year before to €65.3/year after AHSCT.

CONCLUSIONS: Although the initial cost of AHSCT is high, the costs involving AHSCT and post-AHSCT treatment could, according to our analysis, pay off in 3.9 years, when compared to the costs of disease-modifying drug therapy in aggressive MS. The study provides evidence that the AHSCT can lead to significant savings in treatment costs of aggressive MS from the public payer’s perspective.

PMID:33865219 | DOI:10.1016/j.vhri.2020.10.008

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Nevin Manimala Statistics

Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitors

Eur J Cancer. 2021 Apr 14;149:184-192. doi: 10.1016/j.ejca.2021.01.055. Online ahead of print.

ABSTRACT

BACKGROUND: RAS variant-related functional impact on the mitogen-activated protein kinase (MAPK) pathway, and correlation between MAPK activation and MAPK/ERK kinase (MEK) inhibitor responsiveness, is not established.

PATIENTS AND METHODS: Of 1,693 tumours sequenced, 576 harboured a RAS alteration; 62 patients received an MEK inhibitor (MEKi) and had RAS mutations that were functionally characterised. We report that RAS mutants have variable levels of MAPK activity, as measured by a functional cell-based assay that quantified MAPK pathway activation after transfection with a variety of RAS mutations.

RESULTS: Patients with tumours harbouring RAS alterations with high versus low MAPK activity who were treated with an MEKi showed significantly longer median progression-free survival (PFS) (5.0 vs. 2.3 months; p = 0.0034) and overall survival (20.0 vs. 5.0 months; p = 0.0146) and a trend towards higher rates of clinical benefit (stable disease ≥6 months or partial/complete remission) (38% versus 15%; p = 0.095) (p-values as per univariate analysis). PFS remained statistically significant after the multivariate analysis (p = 0.003).

CONCLUSIONS: These results support a correlation between RAS-mutant cancers with greater MAPK signalling and PFS after MEKi treatment.

PMID:33865203 | DOI:10.1016/j.ejca.2021.01.055

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Nevin Manimala Statistics

Nursing applicants’ reasoning skills and factors related to them: A cross-sectional study

Nurse Educ Today. 2021 Apr 9;101:104890. doi: 10.1016/j.nedt.2021.104890. Online ahead of print.

ABSTRACT

BACKGROUND: The assessment of reasoning skills is recommended in undergraduate nursing student selection. Reasoning skills are crucial for sound decision-making, improving patient safety and are necessary from the very beginning of studies. Nursing applicants’ reasoning skills based on the reasoning process have not been previously measured.

OBJECTIVES: To assess undergraduate nursing applicants’ reasoning skills and factors related to them.

DESIGN: A cross-sectional study.

SETTING AND PARTICIPANTS: Undergraduate nursing applicants (n = 1056, response rate 55.4%), who consented to the study and performed a joint electronic entrance examination to six Finnish Universities of Applied Sciences in spring 2019, participated in the study.

METHODS: The Reasoning Skills (ReSki) test, based on the steps of the reasoning process, was used, comprising three question sections (collecting information, processing information, and identifying the problem and establishing goals). Background variables were collected through a questionnaire and the Positive System Usability Scale (P-SUS). The data were analysed with descriptive statistics, Pearson correlation coefficients and analysis of covariance with Tukey’s test in post-hoc multiple group comparisons.

RESULTS: Applicants’ total reasoning skills mean scores were above the centre of the range of possible scores (2.72/4.5, SD = 0.80). The applicants scored higher in collecting and processing information than in identifying the problem and establishing goals. Standard deviations demonstrated variance between the applicants’ ability. Age, gender, and previous education were statistically significantly related to applicants’ reasoning skills. Previous work experience was statistically significantly related to success only in the step of identifying the problem and establishing goals.

CONCLUSIONS: Nursing applicants’ reasoning skills vary in the student selection phase. Applicants are less able to identify the problem and establish goals than to collect and process information. Vocational education does not necessarily develop adequate reasoning skills and thus prepare students for higher education studies. The results have implications for educational institutions and further research.

PMID:33865188 | DOI:10.1016/j.nedt.2021.104890

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Nevin Manimala Statistics

Towards standardization of lymph-node ratio classifications: Validation and comparison of different lymph node ratio classifications for predicting prognosis of patients with resected gastric cancer

Ann Diagn Pathol. 2021 Mar 31;52:151738. doi: 10.1016/j.anndiagpath.2021.151738. Online ahead of print.

ABSTRACT

INTRODUCTION: The TNM staging system is the main prognostic tool for GC, but the number of metastatic lymph nodes (LN) can be affected by surgical, pathological, tumor or host factors. Several authors have shown that lymph node ratio (LNR) may be superior to TNM staging in GC. However, cut-off values vary between studies and LNR assessment is not standardized.

MATERIAL AND METHODS: Retrospective study of all GC resected in a western tertiary center (N = 377). Clinical features were collected and pathological features were assessed by two independent pathologists. Eight LNR classifications were selected and applied to our patients. Statistical analyses were performed.

RESULTS: 315 patients were included. Most tumors were T3 (49.2%) N+ (59.3%). During follow-up, 36.7% of patients progressed and 27.4% died due to tumor. All LNR classifications were significantly associated with clinicopathological features such as Laurén subtype, lymphovascular invasion, perineural infiltration, T stage, tumor progression or death. All LNR classifications were independent prognostic factors for OS and DFS, and ROC analyses calculated similar AUC values for all staging systems. Kaplan-Meier curves showed that Pedrazzani, Wang, Liu and Huang classifications stratified patients better into three (Pedrazzani) or four categories. These classifications tended to downstage TNM N2 and N3 tumors. In cases with less than 16 LNs resected, Pedrazzani and Wang classifications showed the best prognostic performance.

CONCLUSIONS: Pedrazzani, Wang, Liu and Huang classifications showed good prognostic performance in western GC patients. Larger studies in other cohorts are needed to identify the most consistent LNR classification for GC.

PMID:33865185 | DOI:10.1016/j.anndiagpath.2021.151738