Publications by authors named "Abellan J"

The estimands framework outlined in ICH E9 (R1) describes the components needed to precisely define the effects to be estimated in clinical trials, which includes how post-baseline 'intercurrent' events (IEs) are to be handled. In late-stage clinical trials, it is common to handle IEs like 'treatment discontinuation' using the treatment policy strategy and target the treatment effect on outcomes regardless of treatment discontinuation. For continuous repeated measures, this type of effect is often estimated using all observed data before and after discontinuation using either a mixed model for repeated measures (MMRM) or multiple imputation (MI) to handle any missing data.

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Background: Afferent innervation of shoulder joints plays a fundamental role in nociception and mechanoception and its alteration result in shoulder´s disease that course with pain and functional disability.

Methods: Joints shoulder from healthy subjects (n = 20) and with chronic pain shoulder syndromes (n = 17) were analyzed using immunohistochemistry for S100 protein to identify nerve structures (nerve fibers and sensory corpuscles), coupled with a quantification of the sensory formations. Sensory nerve formations were quantified in 13 distinct areas in healthy joint shoulder and in the available equivalent areas in the pathological joints.

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There is a growing interest in the use of physical activity data in clinical studies, particularly in diseases that limit mobility in patients. High-frequency data collected with digital sensors are typically summarised into actigraphy features aggregated at epoch level (e.g.

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Imprecise classification is a relatively new task within Machine Learning. The difference with standard classification is that not only is one state of the variable under study determined, a set of states that do not have enough information against them and cannot be ruled out is determined as well. For imprecise classification, a mode called an Imprecise Credal Decision Tree (ICDT) that uses imprecise probabilities and maximum of entropy as the information measure has been presented.

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Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information. The quantification of the information that a piece of evidence involves is a key issue in TE. Shannon's entropy is an excellent measure in the PT for such purposes, being easy to calculate and fulfilling a wide set of properties that make it axiomatically the best one in PT.

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Several Bayesian methods have been proposed to borrow information dynamically from historical controls in clinical trials. In this note, we identify key features of the relationship between the first method proposed, the bias-variance method, which is strongly related to the commensurate prior approach, and a more recent and widely used approach called robust mixture priors (RMP). We focus on the two key terms that need to be chosen to define the RMP, namely $w$, the prior probability that the new trial differs systematically from the historical trial, and $s_v^2$, the variance of the vague component of the RMP.

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Hypertension is the most important risk factor for global disease burden. Detection and management of hypertension are considered as key issues for individual and public health, as adequate control of blood pressure levels markedly reduces morbidity and mortality associated with hypertension. Aims of these practice guidelines for the management of arterial hypertension of the Spanish Society of Hypertension include offering simplified schemes for diagnosis and treatment for daily practice, and strategies for public health promotion.

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Discontinuation from randomised treatment is a common intercurrent event in clinical trials. When the target estimand uses a treatment policy strategy to deal with this intercurrent event, data after cessation of treatment is relevant to estimate the estimand and all efforts should be made to collect such data. Missing data may nevertheless occur due to participants withdrawing from the study and assumptions regarding the values for data that are missing are required for estimation.

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Twenty years after the advent of interconnection networks to tackle the on-chip communication bottleneck [...

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Risk is a concept that is usually evaluated by scientists and public health experts by comparing probabilities. However, this ethical utilitarian perspective, which considers that the best decision is the one that has less probability of harm than of benefit, does not consider normative aspects based on other ethical perspectives. Interpreting the origin of public controversies arising from people's reactions to the small risks of attenuated SARS-CoV-2 vaccines and evaluating the responses of public institutions requires an understanding of both the cognitive aspects that introduce systematic biases in the assessment of probabilities and the sociological, ethical, and political framework that contextualizes risk management in modern societies.

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Motivation: Molecular docking methods are extensively used to predict the interaction between protein-ligand systems in terms of structure and binding affinity, through the optimization of a physics-based scoring function. However, the computational requirements of these simulations grow exponentially with: (i) the global optimization procedure, (ii) the number and degrees of freedom of molecular conformations generated and (iii) the mathematical complexity of the scoring function.

Results: In this work, we introduce a novel molecular docking method named METADOCK 2, which incorporates several novel features, such as (i) a ligand-dependent blind docking approach that exhaustively scans the whole protein surface to detect novel allosteric sites, (ii) an optimization method to enable the use of a wide branch of metaheuristics and (iii) a heterogeneous implementation based on multicore CPUs and multiple graphics processing units.

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A large part of morbimortality is caused by lifestyle habits and modifiable risk factors. A promising strategy to promote the change of such factors is the implementation of public health interventions based on behavioral economics, a discipline that combines psychological and economic principles. In the present article, we focus on a type of intervention known as "nudge" (that has been translated into Spanish as empujón or acicate), that changes behaviour without limiting the individual's choice.

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Presently, there is a critical need to analyze traffic accidents in order to mitigate their terrible economic and human impact. Most accidents occur in urban areas. Furthermore, driving experience has an important effect on accident analysis, since inexperienced drivers are more likely to suffer fatal injuries.

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Objective: In this paper we address whether the System for Personal Autonomy and Care of Dependent Persons contributes to increasing the volume of resources of the public social services system (displacement effect) or, on the contrary, whether this development has taken place at the expense of other social services (substitution effect).

Method: Panel data analysis is used to explain how per capita expenditure on social services evolves in the Spanish Regions under the common regime in the period 2002-2016.

Results: The implementation of the Dependency Act is associated with a 14% increase in the level of per capita expenditure on social services.

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Article Synopsis
  • Many clinical trials traditionally only used 'on-treatment' data and would withdraw participants who stopped treatment, limiting analyses for treatment policy estimands.
  • Recent trends show that trials are now collecting data from participants even after they've discontinued treatment, which is important for accurately estimating treatment effects.
  • The paper proposes a new imputation method using 'off-treatment' data to predict missing post-withdrawal data, illustrated with a study focusing on COPD exacerbation rates, enhancing the validity of the results.
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Background: Tear of the anterior cruciate ligament (ACL) is a common ligamentous injury of the knee. Reconstruction of this ligament is often required to restore functional stability of the knee. Outcome of ACL reconstruction is significantly affected by how the graft is fixed to the bone.

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The effect of diet on cardiovascular disease prevention has been widely studied for many years. Numerous studies have confirmed that diets rich in fruits and vegetables (Mediterranean diet) are beneficial to the cardiovascular system and various bioactive food components have preventive effect on chronic diseases such as cardiovascular disease. In this paper we review the effect of bioactive substances included in the group of flavonoids (catechins and proanthocyanidins, anthocyanins and isoflavones), stilbenes such as resveratrol, bioactive peptides, plant sterols and polyunsaturated fatty acids omega- 3 on the cardiovascular system.

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Introduction: The references used to assess child growth in Spain are the graphs of the Orbegozo Foundation and the charts of the World Health Organization (WHO). The objective of this study is to analyze the differences between the two charts for weight, height and body mass index, and assess their relevance to identify growth or nutritional problems.

Material And Methods: The values of the extreme percentiles of height, weight and body mass index for each sex from 0 to 10 years in both charts are compared.

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In spite of its major impact on life-long health, the process of microbial succession in the gut of infants remains poorly understood. Here, we analyze the patterns of taxonomic and functional change in the gut microbiota during the first year of life for a birth cohort of 13 infants. We detect that individual instances of gut colonization vary in the temporal dynamics of microbiota richness, diversity, and composition at both functional and taxonomic levels.

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Metabolomics has emerged in the field of food and nutrition sciences as a powerful tool for doing profiling approaches. In this context, HPLC-q-TOF-based metabolomics approach was applied to unveil changes in the urinary metabolome in human subjects (n = 51, 23 men and 28 women) after regular aronia-citrus juice (AC-juice) intake (250 mL/day) during 16 weeks compared to individuals given a placebo beverage. Samples were analyzed by HPLC-q-TOF followed by multivariate data analysis (orthogonal signal filtering-partial least square discriminant analysis) that discriminated relevant mass features related to AC-juice intake.

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Because of its incidence and mortality colorectal cancer represents a serious public health issue in industrial countries. In order to reduce its social impact a number of screening strategies have been implemented, which allow an early diagnosis and treatment. These basically include faecal tests and studies that directly explore the colon and rectum.

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The irritable bowel syndrome (IBS) is a functional gastrointestinal disorder with a largely unknown aetiology and a wide range of symptoms. Most cross-sectional studies carried out so far suggest subtle alterations in the structure of the intestinal microbiota that are barely reproduced, partly because of the high inter-subject variation in the community composition and disorder-specific features. We performed a longitudinal study to explore the within-subject variation in the faecal microbiota in two patients with IBS classified into the diarrhoea subtype and the healthy spouse of one of them.

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Background: Cardiovascular disease (CVD) mortality has more than halved in England since the 1980s, but there are few data on small-area trends. We estimated CVD mortality by ward in 5-year intervals between 1982 and 2006, and examined trends in relation to starting mortality, region and community deprivation.

Methods: We analysed CVD death rates using a Bayesian spatial technique for all 7932 English electoral wards in consecutive 5-year intervals between 1982 and 2006, separately for men and women aged 30-64 years and ≥65 years.

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Given the current number of road accidents, the aim of many road safety analysts is to identify the main factors that contribute to crash severity. To pinpoint those factors, this paper shows an application that applies some of the methods most commonly used to build decision trees (DTs), which have not been applied to the road safety field before. An analysis of accidents on rural highways in the province of Granada (Spain) between 2003 and 2009 (both inclusive) showed that the methods used to build DTs serve our purpose and may even be complementary.

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