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

Prevention of viral hepatitis A and B by immunisation

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN009402 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Seroconvertion to hepatitis B vaccine after weight reduction in obese non-responder Soroconversão à vacina contra hepatite B após redução de peso em obeso não respondedor

Decreased responses to hepatitis B vaccine have been associated with some host conditions including obesity. Susceptible non-responders to a primary three-dose vaccine series should be revaccinated. Those who maintain a non-responder condition after revaccination with three vaccine doses are unlikely to develop protection using more doses. This is a description of an obese woman who received six doses of hepatitis B vaccine and persisted as a non-responder. She was submitted to a vertical banded gastroplasty Roux-en-Y gastric bypass Capellas's technique. After weight reduction, she received three additional doses of vaccine and seroconverted. Further studies should help clarify the need to evaluate antibody levels and eventually revaccinate the increasing population of individuals who undergo weight reduction.<br>A diminuição da resposta à vacinação contra hepatite B já foi relacionada a algumas condições clínicas, inclusive à obesidade. Indivíduos que não responderam à série de três doses devem ser revacinados. Caso continuem não-respondedores após duas séries de vacina, não há indicação de doses adicionais. Esta é a descrição de mulher obesa que não havia soroconvertido após ter recebido seis doses de vacina contra hepatite B. Ela foi submetida à gastroplastia em Y de Roux, pela técnica de Capella. Após a redução de peso, a paciente recebeu mais três doses de vacina contra hepatite B e soroconverteu. Novos estudos poderão indicar a necessidade de avaliação de níveis de anticorpos contra antígenos vacinais e eventualmente revacinar esta população cada vez maior de pacientes que se submetem à cirurgia para redução de peso