Estudo longitudinal de um programa de reabilitação neuropsicológica dirigido a pacientes com doença de Alzheimer

Our aim was to study the duration of benefits derived from a neuropsychological rehabilitation program (NRP) for dementia patients. METHOD: The participants in this study were three patients diagnosed as probable Alzheimer's disease in the initial-to-moderate phase; the three were taking anticholinesterases. They were submitted to a neuropsychological evaluation (NE) before the NRP and then revaluated after 12 and 24 months of treatment. The aim of our intervention was to do practical work with implicit and explicit residual memory by training them in everyday life activities, and using compensatory strategies and their intact cognitive abilities. RESULTS: Analysis of quantitative NE data (descriptive measures) after the first year of NRP showed cognitive improvement, functional stabilization and fewer behavioral problems. However, this improvement did not continue in the second year, and the disease maintained its characteristic progression.OBJETIVO: Estudar a duração do beneficio de um programa de reabilitação neuropsicológica (PRN) dirigido a pacientes demenciados. MÉTODO: Participaram deste estudo, três pacientes com diagnóstico de provável doença de Alzheimer em fase inicial a moderada. Todos faziam uso de anti-colinesterásicos e passaram por uma avaliação neuropsicológica (AN) antes de começar o PRN e reavaliação após 12 e 24 meses do tratamento. O alvo de nossa intervenção foi trabalhar de forma prática a memória explicita residual e implícita, através do treino das atividades da vida diária, uso de estratégias compensatórias e habilidades cognitivas ainda preservadas. RESULTADOS: A análise dos dados quantitativos (medidas descritivas) da AN mostrou, que após o primeiro ano do PRN houve uma melhora cognitiva, estabilização funcional e redução dos problemas comportamentais nos pacientes. No entanto, observamos que essa melhora não se estendeu para o segundo ano, mostrando a doença sua característica progressiva.Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Centro Paulista de NeuropsicologiaUNIFESP, EPM, Centro Paulista de NeuropsicologiaSciEL

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe