ABSTRACT
This study is a systematic literature review of the association between lists of potentially inappropriate medications (PIM) in clinical practice and health outcomes of older adults followed up in primary health care. For this purpose, the PRISMA protocol was used to systematize the search for articles in the PubMed, Web of Science, Scopus, Cochrane Central, LIVIVO and LILACS databases, in addition to the gray literature. Studies with randomized clinical trials were selected, using explicit criteria (lists) for the identification and management of PIM in prescriptions of older patients in primary care. Of the 2,400 articles found, six were used for data extraction. The interventions resulted in significant reductions in the number of PIM and adverse drug events and, consequently, in potentially inappropriate prescriptions (PIP) in polymedicated older adults. However, there were no significant effects of the interventions on negative clinical outcomes, such as emergency room visits, hospitalizations and death, or on improving the health status of the older adults. The use of PIM lists promotes adequate medication prescriptions for older adults in primary health care, but further studies are needed to determine the impact of reducing PIM on primary clinical outcomes.
Subject(s)
Inappropriate Prescribing , Potentially Inappropriate Medication List , Primary Health Care , Humans , Aged , Inappropriate Prescribing/statistics & numerical data , Inappropriate Prescribing/prevention & control , PolypharmacyABSTRACT
Abstract: This study is a systematic literature review of the association between lists of potentially inappropriate medications (PIM) in clinical practice and health outcomes of older adults followed up in primary health care. For this purpose, the PRISMA protocol was used to systematize the search for articles in the PubMed, Web of Science, Scopus, Cochrane Central, LIVIVO and LILACS databases, in addition to the gray literature. Studies with randomized clinical trials were selected, using explicit criteria (lists) for the identification and management of PIM in prescriptions of older patients in primary care. Of the 2,400 articles found, six were used for data extraction. The interventions resulted in significant reductions in the number of PIM and adverse drug events and, consequently, in potentially inappropriate prescriptions (PIP) in polymedicated older adults. However, there were no significant effects of the interventions on negative clinical outcomes, such as emergency room visits, hospitalizations and death, or on improving the health status of the older adults. The use of PIM lists promotes adequate medication prescriptions for older adults in primary health care, but further studies are needed to determine the impact of reducing PIM on primary clinical outcomes.
Resumo: Este estudo revisou sistematicamente a literatura sobre a associação de listas de medicamentos potencialmente inapropriados (MPI) na prática clínica e desfechos de saúde na população idosa acompanhada na atenção primária à saúde. Para tanto, o protocolo PRISMA foi usado para sistematizar a busca de artigos nas bases de dados PubMed, Web of Science, Scopus, Cochrane Central, LIVIVO e LILACS, além da literatura cinzenta. Foram selecionados estudos com ensaios clínicos randomizados, incluindo a utilização de critérios explícitos (listas) para identificar e manejar MPI em prescrições para idosos atendidos na atenção primária. Dos 2.400 artigos encontrados, seis foram utilizados para extração de dados. As intervenções reduziram significativamente o número de MPI e eventos adversos a medicamentos e, consequentemente, nas prescrições potencialmente inadequadas em idosos polimedicados. No entanto, não houve efeitos significativos das intervenções sobre desfechos clínicos negativos (como visitas a serviços de emergência, hospitalizações e óbito) ou melhora das condições de saúde dos idosos. O uso de listas de MPI pode promover a adequação da prescrição de medicamentos para idosos na atenção primária à saúde, mas mais estudos são necessários para determinar os impactos da redução de MPI em desfechos clínicos primários.
Resumen: Este estudio realizó una revisión sistemática en la literatura sobre la asociación de listas de medicamentos potencialmente inapropiados (MPI) en la práctica clínica y los resultados de salud en la población de edad avanzada monitoreada en atención primaria de salud. Para ello, se utilizó el protocolo PRISMA para sistematizar la búsqueda de artículos en las bases de datos PubMed, Web of Science, Scopus, Cochrane Central, LIVIVO y LILACS, además de la literatura gris. Se seleccionaron estudios con ensayos clínicos aleatorizados, incluyendo el uso de criterios explícitos (listas) para identificar y manejar MPI en prescripciones para adultos mayores atendidos en atención primaria. De los 2.400 artículos encontrados, seis se utilizaron para la recolección de datos. Las intervenciones tuvieron una significativa disminución en la cantidad de MPI y eventos adversos de medicamentos y, en consecuencia, en prescripciones potencialmente inapropiadas en adultos mayores polimedicados. Sin embargo, no hubo efectos significativos de las intervenciones en los resultados clínicos negativos (como consultas a servicios de urgencias, hospitalizaciones o muerte) o mejora en las condiciones de salud de los adultos mayores. El uso de listas de MPI puede promover una adecuada prescripción de medicamentos a los adultos mayores en la atención primaria de salud, si bien se necesitan más estudios para determinar los impactos de la reducción de MPI en los resultados clínicos primarios.
ABSTRACT
Background and Objective: Immune checkpoint inhibition has shed light on a new era in cancer therapy, and randomized clinical trials have demonstrated that a meaningful portion of the overall population of metastatic gastric cancer (GC) patients may derive clinical benefit from immunotherapy, which raises the relevance in identifying predictive biomarkers. Programmed cell death-ligand 1 (PD-L1) expression has demonstrated a significant association between level of expression and the magnitude of benefit derived from immune checkpoint inhibition in GC. Nevertheless, this biomarker shows several pitfalls that must be considered in the therapeutic decision to incorporate immune checkpoint inhibition as the standard of care of GC, such as spatial and temporal heterogeneity, interobserver variability, immunohistochemistry (IHC) assay, and influence by chemotherapy or radiation therapy. Methods: In the present comprehensive review, we revised the main studies regarding PD-L1 evaluation in GC. Key Content and Findings: Here we describe the molecular characteristics of the tumor microenvironment in GC, the obstacles in the interpretation of PD-L1 expression and present the data of the clinical trials that have evaluated the efficacy and safety of immune checkpoint inhibition and the association with the biomarker expression, both in first-line and later lines of therapy. Conclusions: From the emerging predictive biomarkers for immune checkpoint inhibition, PD-L1 has demonstrated a meaningful association between level of expression in tumor microenvironment and the magnitude of benefit derived from immune checkpoint inhibition in GC.
ABSTRACT
PURPOSE: The COVID-19 pandemic remains a public health emergency of global concern. Determinants of mortality in the general population are now clear, but specific data on patients with cancer remain limited, particularly in Latin America. MATERIALS AND METHODS: A longitudinal multicenter cohort study of patients with cancer and confirmed COVID-19 from Oncoclínicas community oncology practice in Brazil was conducted. The primary end point was all-cause mortality after isolation of the SARS-CoV-2 by Real-Time Polymerase Chain Reaction (RT-PCR) in patients initially diagnosed in an outpatient environment. We performed univariate and multivariable logistic regression analysis and recursive partitioning modeling to define the baseline clinical determinants of death in the overall population. RESULTS: From March 29 to July 4, 2020, 198 patients with COVID-19 were prospectively registered in the database, of which 167 (84%) had solid tumors and 31 (16%) had hematologic malignancies. Most patients were on active systemic therapy or radiotherapy (77%), largely for advanced or metastatic disease (64%). The overall mortality rate was 16.7% (95% CI, 11.9 to 22.7). In univariate models, factors associated with death after COVID-19 diagnosis were age ≥ 60 years, current or former smoking, coexisting comorbidities, respiratory tract cancer, and management in a noncurative setting (P < .05). In multivariable logistic regression and recursive partitioning modeling, only age, smoking history, and noncurative disease setting remained significant determinants of mortality, ranging from 1% in cancer survivors under surveillance or (neo)adjuvant therapy to 60% in elderly smokers with advanced or metastatic disease. CONCLUSION: Mortality after COVID-19 in patients with cancer is influenced by prognostic factors that also affect outcomes of the general population. Fragile patients and smokers are entitled to active preventive measures to reduce the risk of SARS-CoV-2 infection and close monitoring in the case of exposure or COVID-19-related symptoms.
