23 research outputs found

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

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    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

    Disparities in Cancer Care: The Example of Sarcoma—In Search of Solutions for a Global Issue

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    Rationale and design of a randomized trial of early intensive blood pressure lowering on cerebral perfusion parameters in thrombolysed acute ischemic stroke patients

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    Background and Rationale: Uncertainty persists over the optimal management of blood pressure (BP) in the early phase of acute ischemic stroke (AIS). This study aims to determine the safety and effects of intensive BP lowering on cerebral blood flow (CBF) and functional in AIS patients treated with intravenous thrombolysis. Methods: In a randomized controlled trial, 54 thrombolysed AIS patients with a systolic BP of 160 to 180 mm Hg will be randomized to early intensive BP lowering (systolic target range 140–160 mm Hg) or guideline-based BP management (systolic range 160–180 mm Hg) during first 72-hours using primarily intravenous labetalol. We hypothesize that early intensive BP lowering will not reduce CBF by 20% and/or increase the volume of hypoperfused tissue by >20% on computed tomographic perfusion. Clinical outcome will be assessed using a dichotomized modified Rankin scale (scores 0–1 as excellent outcome vs scores 2–6 as dead or dependent) at 90 days. Other outcome would be symptomatic intracerebral hemorrhage. The trial is registered at ClinicalTrials.gov, NCT03443596. Conclusion: This randomized study will provide important information about the physiological effects of BP reduction on cerebral perfusion after intravenous thrombolysis in AIS

    HLA-A and breast cancer in West Peninsular Malaysia

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    Breast cancer is the most common malignancy among females in Malaysia. Attempts have been made to investigate the association between breast cancer and human leukocyte antigen (HLA) types. However, data from those previous studies are highly variable. The aim of this study is to investigate the association between HLA-A types and clinicopathological factors in breast cancer. The frequencies of HLA-A type in 59 female patients with infiltrating ductal of the breast were determined by polymerase chain reaction method. HLA-A2/A30 and A2/A31 haplotype (5.1%; P = 0.045) as well as HLA-A30 (5.1%, P = 0.045) and A31 (6.8%; P = 0.020) allele were significant higher in the patients than controls (0%). HLAA24 allele was negatively related to lymph node metastasis (r = -0.316; P = 0.021) whereas, A26 (r = -0.430; P = 0.001) and A36 (r = -0.430; P = 0.001) alleles were negatively correlated to distant metastasis in breast cancer. Negative correlations between HLA-A26/A36 (r = -0.430; P = 0.001), A2/A11 (r = -0.276; P = 0.044), A24/A34 (r = -0.430; P = 0.001) haplotypes and distant metastasis were identified. Interestingly, Her2 expression in breast carcinoma was negatively correlated to A11/24 haplotypes (r = -0.294; P = 0.034) but positively correlated to homozygous HLA-A24 (r = 0.396; P = 0.040). In conclusion, HLA-A2, -A30 and A31 were associated with breast cancer
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