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INTRODUCTION: Gastric cancer (GC) is one of the most lethal malignancies worldwide. Helicobacter pylori is the primary cause of GC; therefore, its eradication reduces the risk of developing this neoplasia. There is extensive evidence regarding quadruple therapy with relevance to the European population. However, in Latin America, data are scarce. Furthermore, there is limited information about the eradication rates achieved by antibiotic schemes in European and Latin American populations. OBJECTIVE: To compare the effectiveness of standard triple therapy (STT), quadruple concomitant therapy (QCT), and bismuth quadruple therapy (QBT) in six centers in Europe and Latin America. METHODS: A retrospective study was carried out based on the LEGACy registry from 2017 to 2022. Data from adult patients recruited in Portugal, Spain, Chile, Mexico, and Paraguay with confirmed H. pylori infection who received eradication therapy and confirmatory tests at least 1 month apart were included. Treatment success by each scheme was compared using a mixed multilevel Poisson regression, adjusting for patient sex and age, together with country-specific variables, including prevalence of H. pylori antibiotic resistance (clarithromycin, metronidazole, and amoxicillin), and CYP2C19 polymorphisms. RESULTS: 772 patients were incorporated (64.64% females; mean age of 52.93 years). The total H. pylori eradication rates were 75.20% (255/339) with STT, 88.70% (159/178) with QCT, and 91.30% (191/209) with QBT. Both quadruple therapies (QCT-QBT) showed significantly higher eradication rates compared with STT, with an adjusted incidence risk ratio (IRR) of 1.25 (p: <0.05); and 1.24 (p: <0.05), respectively. The antibiotic-resistance prevalence by country, but not the prevalence of CYP2C19 polymorphism, showed a statistically significant impact on eradication success. CONCLUSIONS: Both QCT and QBT are superior to STT for H. pylori eradication when adjusted for country-specific antibiotic resistance and CYP2C19 polymorphism in a sample of individuals residing in five countries within two continents.
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Actualmente, la gestión de datos en el departamento de oncología es compleja y requiere sistemas de información avanzados para procesar datos donde la información "ómica" debe integrarse junto con los datos clínicos del paciente para mejorar el análisis de datos y el proceso de toma de decisiones. Este trabajo de investigación presenta una experiencia práctica en este contexto. Se ha diseñado un Modelo Conceptual (MC) para desarrollar un Sistema de Información (SI) con el fin de gestionar datos clínicos, patológicos y moleculares de manera integral en el departamento de oncología de dos hospitales principales en Paraguay. Además, se han propuesto arquetipos basados en modelos para especificar la estrategia de interacción del usuario. El MC y los arquetipos asociados son la base para desarrollar un SI clínico con el fin de cargar -primero- y gestionar -segundo- todos los datos clínicos que requiere el dominio, mostrando cuán factible es el enfoque en la práctica y cuánto se mejora la gestión de datos. En este trabajo, queremos reforzar con esta experiencia real, cómo el uso correcto de un MC junto con los arquetipos ayuda a diseñar, desarrollar y administrar mejores sistemas de información, enfatizando la relevancia del dominio clínico seleccionado.
Currently, data management in oncology department is complex and requires advanced Information Systems (ISs) to process data where "omic" information should be integrated together with patient's clinical data to improve data analysis and decision-making process. This research paper reports a practical experience in this context. A Conceptual Model (CM) has been designed to develop an Information System (IS) in order to manage clinical, pathological, and molecular data in a holistic way at the oncology department of two main Hospitals in Paraguay. Additionally, model-based archetypes have been proposed to specify the selected user interaction strategy. The CM and its associated archetypes are the basis to develop a clinical IS in order to load -firstly- and manage -secondly- all the clinical data that the domain requires, showing how feasible the approach is in practice, and how much the corresponding clinical data management is improved. In this work, we want to reinforce with this real experience how using a CM along with archetypes correctly helps to design, develop and manage better information systems, emphasizing the relevance of the selected clinical domain
Asunto(s)
Registros Electrónicos de SaludRESUMEN
Actualmente, la gestión de datos en el departamento de oncología es compleja y requiere sistemas de información avanzados para procesar datos donde la información "ómica" debe integrarse junto con los datos clínicos del paciente para mejorar el análisis de datos y el proceso de toma de decisiones. Este trabajo de investigación presenta una experiencia práctica en este contexto. Se ha diseñado un Modelo Conceptual (MC) para desarrollar un Sistema de Información (SI) con el fin de gestionar datos clínicos, patológicos y moleculares de manera integral en el departamento de oncología de dos hospitales principales en Paraguay. Además, se han propuesto arquetipos basados en modelos para especificar la estrategia de interacción del usuario. El MC y los arquetipos asociados son la base para desarrollar un SI clínico con el fin de cargar -primero- y gestionar -segundo- todos los datos clínicos que requiere el dominio, mostrando cuán factible es el enfoque en la práctica y cuánto se mejora la gestión de datos. En este trabajo, queremos reforzar con esta experiencia real, cómo el uso correcto de un MC junto con los arquetipos ayuda a diseñar, desarrollar y administrar mejores sistemas de información, enfatizando la relevancia del dominio clínico seleccionado.
Currently, data management in oncology department is complex and requires advanced Information Systems (ISs) to process data where "omic" information should be integrated together with patient's clinical data to improve data analysis and decision-making process. This research paper reports a practical experience in this context. A Conceptual Model (CM) has been designed to develop an Information System (IS) in order to manage clinical, pathological, and molecular data in a holistic way at the oncology department of two main Hospitals in Paraguay. Additionally, model-based archetypes have been proposed to specify the selected user interaction strategy. The CM and its associated archetypes are the basis to develop a clinical IS in order to load -firstly- and manage -secondly- all the clinical data that the domain requires, showing how feasible the approach is in practice, and how much the corresponding clinical data management is improved. In this work, we want to reinforce with this real experience how using a CM along with archetypes correctly helps to design, develop and manage better information systems, emphasizing the relevance of the selected clinical domain.
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New treatments have recently been introduced for treating non-small-cell lung cancer. Chemotherapeutic agents, such as pemetrexed, and targeted therapies, such as bevacizumab, erlotinib or gefitinib, have extended treatment options for selected histological subgroups. Antiangiogenic treatments, either associated with conventional chemotherapeutic drugs or given alone as maintenance therapy, constitute an active clinical research field. However, not all lung cancer patients benefit from antiangiogenic compounds. Moreover, tumour response assessment is often difficult when using these drugs, since targeted therapies generally do not cause rapid and measurable tumour shrinkage but, rather, long stabilisations and slight density changes on imaging tests. The finding of clinical or biological factors that might identify patients who will better benefit from these treatments, as well as identifying surrogate markers of tumour response and prognosis, is an issue of great interest. In that sense, different research lines have investigated the epidermal growth factor receptor (EGFR) and the vascular endothelial growth factor receptor (VEGFR) pathways. Circulating endothelial (CECs) and endothelial progenitor cells (CEPCs) are of prognostic value in different types of cancers, and relevant data are published about their potential usefulness as predictors of response to chemotherapy and antiangiogenic treatments. In this review, we discuss the data available on the role of CECs and CEPCs as prognostic factors and as surrogate markers of treatment response in non-small-cell lung cancer.