Current trends and prospects in quinoa research: An approach for strategic knowledge areas

Currently, the demand for healthy consumption and the use of alternatives to dairy proteins for the development of foods with good nutritional value are growing. Quinoa has received much attention because it contains a high content of proteins, essential amino acids, essential fatty acids, minerals, vitamins, dietary fibers, and bioactive compounds. Nevertheless, this content and the bioavailability of specific compounds of interest are related to the genotype, the agri-environmental conditions, and management practices where quinoa is grown and postharvest management. This article aimed to analyze the research trends for three knowledge areas: quinoa plant breeding for nutraceutical properties, plant-soil relations focused on abiotic stresses, and postharvest and value-added transformation activities. To this end, a specific methodological design based on bibliometrics and scientometrics methods was used. Through these analyses based on publications' keywords, titles, abstracts, and conclusions sections, for each knowledge area, the key research trends (scope and main topics), the classification of trends based on their development and relevance degree, and the core of knowledge were established. The trends comprise the current state of research. Finally, analyzing the conclusions, recommendations, and future research sections of key publications, a strong correlation among plant breeding research to obtain varieties with tolerance to biotic and abiotic stresses, nutritional and functional compounds of interest for food safety, and the development of products with higher added value established interest in further research on the potential bioactivity of quinoa and the verification of health benefits to humans.

Multidimensional penalized splines for survival models: illustration for net survival trend analyses

BACKGROUND

In descriptive epidemiology, there are strong similarities between incidence and survival analyses. Because of the success of multidimensional penalized splines (MPSs) in incidence analysis, we propose in this pedagogical paper to show that MPSs are also very suitable for survival or net survival studies.

METHODS

The use of MPSs is illustrated in cancer epidemiology in the context of survival trends studies that require specific statistical modelling. We focus on two examples (cervical and colon cancers) using survival data from the French cancer registries (cases 1990-2015). The dynamic of the excess mortality hazard according to time since diagnosis was modelled using an MPS of time since diagnosis, age at diagnosis and year of diagnosis. Multidimensional splines bring the flexibility necessary to capture any trend patterns while penalization ensures selecting only the complexities necessary to describe the data.

RESULTS

For cervical cancer, the dynamic of the excess mortality hazard changed with the year of diagnosis in opposite ways according to age: this led to a net survival that improved in young women and worsened in older women. For colon cancer, regardless of age, excess mortality decreases with the year of diagnosis but this only concerns mortality at the start of follow-up.

CONCLUSIONS

MPSs make it possible to describe the dynamic of the mortality hazard and how this dynamic changes with the year of diagnosis, or more generally with any covariates of interest: this gives essential epidemiological insights for interpreting results. We use the R package survPen to do this type of analysis.

Impact of COVID-19 on healthcare waste generation: Correlations and trends from a tertiary hospital of a developed country

The SARS-CoV-2 (COVID-19) coronavirus pandemic has represented an emergency not only from a clinical point of view, but also for the environment due to the largely increased waste disposal. This study aimed at estimating, in the context of current trends, the increase in healthcare waste (HW) generation during the outbreak, based on data from a tertiary hospital. From the purveying office statements of 'SS Antonio e Biagio e Cesare Arrigo' Hospital of Alessandria (Italy), monthly HW generation data from January 2015 to March 2021 were retrospectively retrieved. Trends and COVID's impact were evaluated by Interrupted Time Series (ITS) design with linear regression models. Locally Weighted Scatterplot Smoothing was used to model the relation between infectious HW generation and proportion of COVID-related bed days. HW generation rose from 35.9 ± 3.8 tonnes month^-1 (2.4 ± 0.2 kg per patient-day, kg PD^-1) in 2015-2019, to 46.3 ± 6.0 tonnes month^-1 (3.3 ± 0.7 kg PD^-1) during the outbreak. The increasing trend was not appreciably modified as for its slope (p = 0.363), while a significant level change was found between baseline and outbreak (+ 0.72 kg PD^-1, p < 0.001). The proportion of COVID-related bed days non-linearly affected the infectious HW generated per patient-day, with steeper increases for proportions above 20%. The study showed a significant rise in HW generation in 2020-2021, reasonably due to the COVID outbreak; in addition, the generally increasing trend was not affected. Therefore, urgent measures are needed to conciliate safety requirements with HW generation issues.

Alcohol and Cigarette Use among Adolescents and Young Adults in Austria from 2004-2020: Patterns of Change and Associations with Socioeconomic Variables

Background: Adolescents and young adults are a crucial target group for preventing harm related to substance use. Recently, declining alcohol and tobacco consumption in young people has been observed in many countries. Based on survey data from 2004 to 2020, we describe time trends for several subgroups of adolescents and young adults (based on consumption levels and socioeconomic variables) and analyze associations between the level of alcohol per capita consumption or daily smoking and socioeconomic variables. Methods: Time trends for males and females are analyzed by a two-way ANOVA and predictors of use by using multivariate regression and logistic regression. Results: Alcohol per capita consumption decreased significantly for both sexes in the 16-year period, with male and female consumption levels converging. Daily smoking was equally prevalent for young males and females and decreased to a similar degree for both sexes. Being male and living in rural areas are associated with a higher level of alcohol consumption. Daily smoking is associated with a low level of education and is more prevalent among young adults who have already started to work. Conclusions: The decline in alcohol use and daily smoking among adolescents and young adults is taking place simultaneously. However, higher levels of alcohol consumption and daily smoking occur in different groups of adolescents and young adults, which should be considered in prevention strategies.

Multidimensional penalized splines for incidence and mortality-trend analyses and validation of national cancer-incidence estimates

BACKGROUND

Cancer-incidence and mortality-trend analyses require appropriate statistical modelling. In countries without a nationwide cancer registry, an additional issue is estimating national incidence from local-registry data. The objectives of this study were to (i) promote the use of multidimensional penalized splines (MPS) for trend analyses; (ii) estimate the national cancer-incidence trends, using MPS, from only local-registry data; and (iii) propose a validation process of these estimates.

METHODS

We used an MPS model of age and year for trend analyses in France over 1990-2015 with a projection up to 2018. Validation was performed for 22 cancer sites and relied essentially on comparison with reference estimates that used the incidence/health-care ratio over the period 2011-2015. Alternative estimates that used the incidence/mortality ratio were also used to validate the trends.

RESULTS

In the validation assessment, the relative differences of the incidence estimates (2011-2015) with the reference estimates were <5% except for testis cancer in men and < 7% except for larynx cancer in women. Trends could be correctly derived since 1990 despite incomplete histories in some registries. The proposed method was applied to estimate the incidence and mortality trends of female lung cancer and prostate cancer in France.

CONCLUSIONS

The validation process confirmed the validity of the national French estimates; it may be applied in other countries to help in choosing the most appropriate national estimation method according to country-specific contexts. MPS form a powerful statistical tool for trend analyses; they allow trends to vary smoothly with age and are suitable for modelling simple as well as complex trends thanks to penalization. Detailed trend analyses of lung and prostate cancers illustrated the suitability of MPS and the epidemiological interest of such analyses.

Data Analyses and Modelling for Risk Based Monitoring of Mycotoxins in Animal Feed

Following legislation, European Member States should have multi-annual control programs for contaminants, such as for mycotoxins, in feed and food. These programs need to be risk based implying the checks are regular and proportional to the estimated risk for animal and human health. This study aimed to prioritize feed products in the Netherlands for deoxynivalenol and aflatoxin B₁ monitoring. Historical mycotoxin monitoring results from the period 2007–2016 were combined with data from other sources. Based on occurrence, groundnuts had high priority for aflatoxin B₁ monitoring; some feed materials (maize and maize products and several oil seed products) and complete/complementary feed excluding dairy cattle and young animals had medium priority; and all other animal feeds and feed materials had low priority. For deoxynivalenol, maize by-products had a high priority, complete and complementary feed for pigs had a medium priority and all other feed and feed materials a low priority. Also including health consequence estimations showed that feed materials that ranked highest for aflatoxin B₁ included sunflower seed and palmkernel expeller/extracts and maize. For deoxynivalenol, maize products were ranked highest, followed by various small grain cereals (products); all other feed materials were of lower concern. Results of this study have proven to be useful in setting up the annual risk based control program for mycotoxins in animal feed and feed materials.

Trends, predictors, and impact of systemic chemotherapy in small cell lung cancer patients between 1985 and 2005

BACKGROUND

The last 3 decades have witnessed limited therapeutic advances in small cell lung cancer (SCLC) management. This study evaluated real-world trends in the use of systemic therapies and the impact on patient outcomes in the United States.

METHODS

The Surveillance, Epidemiology, and End Results-Medicare database was used to find patients diagnosed with SCLC between 1985 and 2005. The 1985-1990 period served as the baseline for a temporal analysis conducted at 5-year intervals (1985-1990, 1991-1995, 1996-2000, and 2001-2005). Cox proportional models were used to estimate the effect of chemotherapy on survival. Results were validated with a propensity-matched analysis.

RESULTS

There were 47,351 eligible patients: 52% were male; the median age was 71 years; and 87% were white, 7% were black, and 1.4% were Asian. The proportion of patients treated with chemotherapy was low but increased over time (38%, 55%, 50%, and 53%; P < .001). Race, diagnosis period, age, stage, and location of residence significantly predicted chemotherapy use. Females (51%), Asians (53%), and rural residents (60%) were more likely to receive chemotherapy. The median overall survival with and without chemotherapy was 9.6 and 3.6 months, respectively. Linear trend analyses showed a modest reduction in the impact of chemotherapy on survival for patients treated with chemotherapy versus untreated patients (hazard ratios [HRs], 0.59, 0.61, 0.64, and 0.62; P < .001) but an overall trend of improved survival for treated (HRs, 1.0, 1.03, 1.00, and 0.96; P = .005) and untreated patients (HRs, 1.0, 0.99, 0.94, and 0.92; P < .001). There was no survival difference between patients treated with carboplatin and patients treated with cisplatin (HR, 0.99; confidence interval [CI], 0.81-1.19; P = .875). Additional therapy beyond platinum-based chemotherapy was associated with a survival benefit (HR, 0.78; CI, 0.75-0.81; P < .001).

CONCLUSIONS

Chemotherapy use was associated with a survival benefit in Medicare patients with SCLC treated in a real-world setting.