28 research outputs found
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
Ultraviolet photoluminescence from ferromagnetic Fe-doped AlN nanorods
10.1063/1.2738370Applied Physics Letters9019-APPL
The association between multimorbidity and poor adherence with cardiovascular medications
Multimorbidity, defined as the presence of two or more chronic conditions, leads to a substantial public health burden. This study evaluated its association with adherence with cardiovascular medications in a Chinese population.
A proportional stratified sampling was adopted to draw a representative sample of residents living in Henan Province, China. Interviewer-administered surveys were conducted by trained researchers. The outcomes included the number of chronic medical conditions, adherence with long-term medications (MMAS-8), and depressive symptoms (CESD-20). Binary logistic regression analysis was conducted to evaluate if medication adherence was associated with the presence of multimorbidity.
From a total of 3866 completed surveys, the proportion of subjects having 0, 1 and ≥ 2 chronic conditions was 62.6%, 23.8% and 13.5%, respectively. Among 27.6% who were taking chronic medications, 66.6% had poor medication adherence (MMAS-8 score ≤ 6). From binary logistic regression analysis, subjects with poor medication adherence were significantly associated with multimorbidity (adjusted odds ratio [AOR]: 1.35, 95% C.I. 1.02–1.78, p = 0.037). Other associated factors included older age (AOR = 1.04, 95% C.I. 1.03–1.05, p < 0.001), smoking (AOR = 1.63, 95% C.I. 1.16–2.30, p = 0.005), family history of hypertension (AOR = 1.51, 95% C.I. 1.19–1.93, p = 0.001), and fair to poor self-perceived health status (AOR = 2.15, 95% C.I. 1.69–2.74, p < 0.001). Using medication adherence as the outcome variable, multimorbidity was significantly associated with poor drug adherence (AOR = 1.34, 95% C.I. 1.02–1.77, p = 0.037).
Multimorbidity was associated with poorer medication adherence. This implies the need for closer monitoring of the medication taking behavior among those with multiple chronic conditions
Comparative epidemiology of gestational diabetes in ethnic Chinese from Shanghai birth cohort and growing up in Singapore towards healthy outcomes cohort
10.1186/s12884-021-04036-5BMC Pregnancy and Childbirth21156
Associations Between Maternal Distress During Early Life Periods and Offspring Respiratory Infections and Allergic Outcomes
10.3389/fped.2022.749323Frontiers in Pediatrics1074932
Maternal polyunsaturated fatty acids and allergic disease development in the offspring
10.1111/pai.13876Pediatric Allergy and Immunology3311e1387
Role of maternal tryptophan metabolism in allergic diseases in the offspring
10.1111/cea.13953Clinical and Experimental AllergyCLEA
Household environmental microbiota influences early-life eczema development
10.1111/1462-2920.15684Environmental MicrobiologyENMI