Network Coincidence Analysis: The <b>netCoin</b> <i>R</i> Package

Mercado, Modesto Escobar; Martinez-Uribe, Luis

doi:10.18637/jss.v093.i11

Cited by 10 publications

(5 citation statements)

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“…Corrplot R package was used for correlation map graphics. Finally, netCoin R package [ 16 ] was used to create a network graph of coincidences within the different group of patients during the COVID-19 lockdown. Stata (v. 12.0, College Station, TX, USA) GraphPad Prism 8 (version 8.3.0; Graph Pad Software Inc. San Diego, CA, USA) and R version 3.5.1 were used for all statistical analyses.…”

Section: Methodsmentioning

confidence: 99%

COVID-19 Lockdown and Changes of the Dietary Pattern and Physical Activity Habits in a Cohort of Patients with Type 2 Diabetes Mellitus

et al. 2020

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The COVID-19 lockdown clearly affected the lifestyle of the population and entailed changes in their daily habits, which involved potential health consequences, especially on patients with Type 2 Diabetes Mellitus (T2DM). We aimed to examine the impact of the lockdown caused by COVID-19 pandemic on both nutrition and exercise habits, as well as the psychological effects in patients with T2DM, compared to their usual diet and physical activity level previous to the complete home confinement. We also intended to analyse any potential variables that may have influenced these lifestyle modifications. A Food Frequency Questionnaire (FFQ), Physical Activity Questionnaire (IPAQ), Food Craving Questionnaire-State (FCQ-S) and Food Craving Questionnaire-Trait (FCQ-T) were used. Our results showed an increase in vegetable, sugary food and snack consumption. An association between levels of foods cravings and snack consumption was also found. Data also showed a high percentage of physical inactivity before the COVID-19 lockdown, which was exacerbated during the home confinement. These findings emphasise the great importance to do further research with larger study samples to analyse and explore dietary habits and to develop public health policies to promote a healthy lifestyle in terms of diet and physical activity in these patients, especially after this strict period of lockdown.

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Section: Methodsmentioning

confidence: 99%

COVID-19 Lockdown and Changes of the Dietary Pattern and Physical Activity Habits in a Cohort of Patients with Type 2 Diabetes Mellitus

et al. 2020

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“…Network coincidence and connectivity analysis was performed using netCoin R statistical programming package. 9 …”

Section: Methodsmentioning

confidence: 99%

The Neurosurgery Match: COVID-19 Comparison and Bibliometric Analysis

et al. 2023

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“…In addition, we coded a macro script to automatically set all the Hounsfield units (HU) required to elucidate tissue areas (Data available in Supplementary Material S1 and , accessed on 29 September 2022). Then, area subtraction was executed by R version 4.0.3 [ 28 , 29 ].…”

Section: Methodsmentioning

confidence: 99%

Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET

Sebastián-Valles

Carrero

Laval

et al. 2022

Cancers

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Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are heterogeneous rare diseases causing malnutrition and cachexia in which the study of body composition may have an impact in prognosis. Aim: Evaluation of muscle and fat tissues by computed tomography (CT) at the level of the third lumbar (L3 level) at diagnosis and at the end of follow-up in GET-NET patients and their relationships with clinical and biochemical variables as predictors of survival. Methodology: Ninety-eight GEP-NET patients were included. Clinical and biochemical parameters were evaluated. Total body, subcutaneous, visceral and total fat areas and very low-density, low-density, normal density, high-density, very high-density and total muscle areas were obtained from CT images. Results: Body composition measures and overall mortality correlated with age, ECOG (Eastern Cooperative Oncology Group performance status) metastases, lactate dehydrogenase (LDH), albumin and urea levels. Although there was no relationship between body composition variables at diagnosis and overall and specific mortality, an increase in low-density muscle and a decrease in normal-density muscle during follow-up were independently correlated to overall (p <0.05) and tumor-cause mortality (p < 0.05). Conclusion: Although body composition measures obtained by CT at diagnosis did not impact survival of GEP-NET patients, a loss of good quality muscle during follow-up was associated with an increased overall and tumor-related mortality. Nutritional status should therefore be supervised by nutrition specialists and an increase in good quality muscle could improve prognosis.

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Network Coincidence Analysis: The netCoin R Package

Cited by 10 publications

References 0 publications

COVID-19 Lockdown and Changes of the Dietary Pattern and Physical Activity Habits in a Cohort of Patients with Type 2 Diabetes Mellitus

COVID-19 Lockdown and Changes of the Dietary Pattern and Physical Activity Habits in a Cohort of Patients with Type 2 Diabetes Mellitus

The Neurosurgery Match: COVID-19 Comparison and Bibliometric Analysis

Impact of Change in Body Composition during Follow-Up on the Survival of GEP-NET

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