Displaying publications 81 - 100 of 313 in total

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  1. Fulltext EGFR mutation testing practices within the Asia Pacific region: results of a multicenter diagnostic survey
    Yatabe Y, Kerr KM, Utomo A, Rajadurai P, Tran VK, Du X, et al.
    J Thorac Oncol, 2015 Mar;10(3):438-45.
    PMID: 25376513 DOI: 10.1097/JTO.0000000000000422
    The efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors in EGFR mutation-positive non-small-cell lung cancer (NSCLC) patients necessitates accurate, timely testing. Although EGFR mutation testing has been adopted by many laboratories in Asia, data are lacking on the proportion of NSCLC patients tested in each country, and the most commonly used testing methods.
    Matched MeSH terms: Databases, Factual
  2. Fulltext Using VigiBase to Identify Substandard Medicines: Detection Capacity and Key Prerequisites
    Juhlin K, Karimi G, Andér M, Camilli S, Dheda M, Har TS, et al.
    Drug Saf, 2015 Apr;38(4):373-82.
    PMID: 25687792 DOI: 10.1007/s40264-015-0271-2
    Substandard medicines, whether the result of intentional manipulation or lack of compliance with good manufacturing practice (GMP) or good distribution practice (GDP), pose a significant potential threat to patient safety. Spontaneous adverse drug reaction reporting systems can contribute to identification of quality problems that cause unwanted and/or harmful effects, and to identification of clusters of lack of efficacy. In 2011, the Uppsala Monitoring Centre (UMC) constructed a novel algorithm to identify reporting patterns suggestive of substandard medicines in spontaneous reporting, and applied it to VigiBase(®), the World Health Organization's global individual case safety report database. The algorithm identified some historical clusters related to substandard products, which were later able to be confirmed in the literature or by contact with national centres (NCs). As relevant and detailed information is often lacking in the VigiBase reports but might be available at the reporting NC, further evaluation of the algorithm was undertaken with involvement from NCs.
    Matched MeSH terms: Databases, Factual*
  3. Influence of light exposure during early life on the age of onset of bipolar disorder
    Bauer M, Glenn T, Alda M, Andreassen OA, Angelopoulos E, Ardau R, et al.
    J Psychiatr Res, 2015 May;64:1-8.
    PMID: 25862378 DOI: 10.1016/j.jpsychires.2015.03.013
    Environmental conditions early in life may imprint the circadian system and influence response to environmental signals later in life. We previously determined that a large springtime increase in solar insolation at the onset location was associated with a younger age of onset of bipolar disorder, especially with a family history of mood disorders. This study investigated whether the hours of daylight at the birth location affected this association.
    Matched MeSH terms: Databases, Factual/statistics & numerical data
  4. Fulltext An estimate of the number of tropical tree species
    Slik JW, Arroyo-Rodríguez V, Aiba S, Alvarez-Loayza P, Alves LF, Ashton P, et al.
    Proc Natl Acad Sci U S A, 2015 Jun 16;112(24):7472-7.
    PMID: 26034279 DOI: 10.1073/pnas.1423147112
    The high species richness of tropical forests has long been recognized, yet there remains substantial uncertainty regarding the actual number of tropical tree species. Using a pantropical tree inventory database from closed canopy forests, consisting of 657,630 trees belonging to 11,371 species, we use a fitted value of Fisher's alpha and an approximate pantropical stem total to estimate the minimum number of tropical forest tree species to fall between ∼ 40,000 and ∼ 53,000, i.e., at the high end of previous estimates. Contrary to common assumption, the Indo-Pacific region was found to be as species-rich as the Neotropics, with both regions having a minimum of ∼ 19,000-25,000 tree species. Continental Africa is relatively depauperate with a minimum of ∼ 4,500-6,000 tree species. Very few species are shared among the African, American, and the Indo-Pacific regions. We provide a methodological framework for estimating species richness in trees that may help refine species richness estimates of tree-dependent taxa.
    Matched MeSH terms: Databases, Factual
  5. Employability in people with epilepsy: A systematic review
    Wo MC, Lim KS, Choo WY, Tan CT
    Epilepsy Res, 2015 Oct;116:67-78.
    PMID: 26354169 DOI: 10.1016/j.eplepsyres.2015.06.016
    People with epilepsy were (PWE) reported to have poorer employment rate. However, the methodologies used differ greatly from one study to another, making global comparison difficult. We aimed to determine the employment rate of PWE globally using a unified definition of employment rate and to summarize the reported positive and negative factors affecting employability in PWE, using a systematic review.
    Matched MeSH terms: Databases, Factual/statistics & numerical data
  6. Fulltext Work related injury and illness: exploring the return-to-work program in Malaysia
    Awang H, Mansor N, Rodrigo SK
    Southeast Asian J. Trop. Med. Public Health, 2015 Nov;46(6):1124-33.
    PMID: 26867371
    Illness and injury have a significant impact on employees, their families and employers. The consequences faced by an injured worker could lead to disability, which could then lead to inability to work. This study examined the patterns of the Return to Work (RTW) using data from The Social Security Organisation (SOCSO) of Malaysia RTW database from 2010 to 2013. Factors of successful return to work, employees' salary upon returning to formal employment were also investigated. Gender, age, year of injury, industry, and job hierarchy were found to be significant predictors of employees' salary upon returning to work. Although there are other costs involved on the part of employers and employees, themselves, in the long term the financial returns that can be brought back by injured workers who have successfully returned to work combined with the qualitative benefits substantially outweighs the costs of RTW program.
    Matched MeSH terms: Databases, Factual
  7. Fulltext A prospective, multi-centre, observational study to examine kidney disease progression in adults with chronic kidney disease - CKDOD - Study design and preliminary results
    Shah B, Kirpalani A, Sunder S, Gupta A, Khanna U, Chafekar D, et al.
    BMC Nephrol, 2015;16:215.
    PMID: 26696239 DOI: 10.1186/s12882-015-0191-5
    The objective of this article is to describe the organisation of an international, clinical registry, the Chronic Kidney Disease Observational Database (CKDOD), the processes of enrolling patients and entering data and preliminary results to date.
    Matched MeSH terms: Databases, Factual
  8. Fulltext Design and development of a content-based medical image retrieval system for spine vertebrae irregularity
    Mustapha A, Hussain A, Samad SA, Zulkifley MA, Diyana Wan Zaki WM, Hamid HA
    Biomed Eng Online, 2015;14:6.
    PMID: 25595511 DOI: 10.1186/1475-925X-14-6
    Content-based medical image retrieval (CBMIR) system enables medical practitioners to perform fast diagnosis through quantitative assessment of the visual information of various modalities.
    Matched MeSH terms: Databases, Factual
  9. Fulltext Healthcare Databases in Thailand and Japan: Potential Sources for Health Technology Assessment Research
    Saokaew S, Sugimoto T, Kamae I, Pratoomsoot C, Chaiyakunapruk N
    PLoS One, 2015;10(11):e0141993.
    PMID: 26560127 DOI: 10.1371/journal.pone.0141993
    Health technology assessment (HTA) has been continuously used for value-based healthcare decisions over the last decade. Healthcare databases represent an important source of information for HTA, which has seen a surge in use in Western countries. Although HTA agencies have been established in Asia-Pacific region, application and understanding of healthcare databases for HTA is rather limited. Thus, we reviewed existing databases to assess their potential for HTA in Thailand where HTA has been used officially and Japan where HTA is going to be officially introduced.
    Matched MeSH terms: Databases, Factual/statistics & numerical data*
  10. Fulltext An Efficient Optimization Method for Solving Unsupervised Data Classification Problems
    Shabanzadeh P, Yusof R
    Comput Math Methods Med, 2015;2015:802754.
    PMID: 26336509 DOI: 10.1155/2015/802754
    Unsupervised data classification (or clustering) analysis is one of the most useful tools and a descriptive task in data mining that seeks to classify homogeneous groups of objects based on similarity and is used in many medical disciplines and various applications. In general, there is no single algorithm that is suitable for all types of data, conditions, and applications. Each algorithm has its own advantages, limitations, and deficiencies. Hence, research for novel and effective approaches for unsupervised data classification is still active. In this paper a heuristic algorithm, Biogeography-Based Optimization (BBO) algorithm, was adapted for data clustering problems by modifying the main operators of BBO algorithm, which is inspired from the natural biogeography distribution of different species. Similar to other population-based algorithms, BBO algorithm starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. To evaluate the performance of the proposed algorithm assessment was carried on six medical and real life datasets and was compared with eight well known and recent unsupervised data classification algorithms. Numerical results demonstrate that the proposed evolutionary optimization algorithm is efficient for unsupervised data classification.
    Matched MeSH terms: Databases, Factual/statistics & numerical data
  11. Fulltext Additive Synergism between Asbestos and Smoking in Lung Cancer Risk: A Systematic Review and Meta-Analysis
    Ngamwong Y, Tangamornsuksan W, Lohitnavy O, Chaiyakunapruk N, Scholfield CN, Reisfeld B, et al.
    PLoS One, 2015;10(8):e0135798.
    PMID: 26274395 DOI: 10.1371/journal.pone.0135798
    Smoking and asbestos exposure are important risks for lung cancer. Several epidemiological studies have linked asbestos exposure and smoking to lung cancer. To reconcile and unify these results, we conducted a systematic review and meta-analysis to provide a quantitative estimate of the increased risk of lung cancer associated with asbestos exposure and cigarette smoking and to classify their interaction. Five electronic databases were searched from inception to May, 2015 for observational studies on lung cancer. All case-control (N = 10) and cohort (N = 7) studies were included in the analysis. We calculated pooled odds ratios (ORs), relative risks (RRs) and 95% confidence intervals (CIs) using a random-effects model for the association of asbestos exposure and smoking with lung cancer. Lung cancer patients who were not exposed to asbestos and non-smoking (A-S-) were compared with; (i) asbestos-exposed and non-smoking (A+S-), (ii) non-exposure to asbestos and smoking (A-S+), and (iii) asbestos-exposed and smoking (A+S+). Our meta-analysis showed a significant difference in risk of developing lung cancer among asbestos exposed and/or smoking workers compared to controls (A-S-), odds ratios for the disease (95% CI) were (i) 1.70 (A+S-, 1.31-2.21), (ii) 5.65; (A-S+, 3.38-9.42), (iii) 8.70 (A+S+, 5.8-13.10). The additive interaction index of synergy was 1.44 (95% CI = 1.26-1.77) and the multiplicative index = 0.91 (95% CI = 0.63-1.30). Corresponding values for cohort studies were 1.11 (95% CI = 1.00-1.28) and 0.51 (95% CI = 0.31-0.85). Our results point to an additive synergism for lung cancer with co-exposure of asbestos and cigarette smoking. Assessments of industrial health risks should take smoking and other airborne health risks when setting occupational asbestos exposure limits.
    Matched MeSH terms: Databases, Factual*
  12. Fulltext A control chart based on cluster-regression adjustment for retrospective monitoring of individual characteristics
    Ong HC, Alih E
    PLoS One, 2015;10(4):e0125835.
    PMID: 25923739 DOI: 10.1371/journal.pone.0125835
    The tendency for experimental and industrial variables to include a certain proportion of outliers has become a rule rather than an exception. These clusters of outliers, if left undetected, have the capability to distort the mean and the covariance matrix of the Hotelling's T2 multivariate control charts constructed to monitor individual quality characteristics. The effect of this distortion is that the control chart constructed from it becomes unreliable as it exhibits masking and swamping, a phenomenon in which an out-of-control process is erroneously declared as an in-control process or an in-control process is erroneously declared as out-of-control process. To handle these problems, this article proposes a control chart that is based on cluster-regression adjustment for retrospective monitoring of individual quality characteristics in a multivariate setting. The performance of the proposed method is investigated through Monte Carlo simulation experiments and historical datasets. Results obtained indicate that the proposed method is an improvement over the state-of-art methods in terms of outlier detection as well as keeping masking and swamping rate under control.
    Matched MeSH terms: Databases, Factual*
  13. Fulltext Diabetic ketoacidosis at diagnosis of type 1 diabetes mellitus in Malaysian children and adolescents
    Hong JYH, Jalaludin MY, Mohamad Adam B, Fuziah MZ, Wu LL, Rasat R, et al.
    Malays Fam Physician, 2015;10(3):11-18.
    PMID: 27570603 MyJurnal
    Background: Diabetic ketoacidosis (DKA) is a late presentation of newly diagnosed type 1 diabetes mellitus (DM) in children. The aim of this study was to determine the clinical characteristics of type 1 DM at presentation so that appropriate actions can be taken to promote early diagnosis.
    Methods: This was a retrospective cohort review from a patient registry database. Data on all patients younger than 20 years old diagnosed with type 1 DM who had been registered with the Malaysian Diabetes in Children and Adolescents Registry (DiCARE) from its inception in 2006 until 2009 were analysed.
    Results: The study included 490 children and adolescents, out of which 57.1% were female. The mean (SD) age at diagnosis was 7.5 (3.7) years, which increased from year 2000 to 2009 [6.6 (3.3) years to 9.6 (3.5) years; p = 0.001]. An increasing percentage of DKA at diagnosis was observed from year 2000 (54.5%) to year 2009 (66.7%), which remained high and leveled between 54.5% and 75.0%. DKA was more common in patients with normal weight (p = 0.002) with no significant association with age, gender, ethnicity and status of family history of diabetes mellitus.
    Conclusion: An increasing trend of age at diagnosis of patients with type 1 DM was observed. Besides that, proportion of DKA at diagnosis had remained high over the past decade. This study found that normal weight was associated with status of DKA, thus more detailed investigations are required to determine the risk factors for DKA.
    Matched MeSH terms: Databases, Factual
  14. Content-based image retrieval system for solid waste bin level detection and performance evaluation
    Hannan MA, Arebey M, Begum RA, Basri H, Al Mamun MA
    Waste Manag, 2016 Apr;50:10-9.
    PMID: 26868844 DOI: 10.1016/j.wasman.2016.01.046
    This paper presents a CBIR system to investigate the use of image retrieval with an extracted texture from the image of a bin to detect the bin level. Various similarity distances like Euclidean, Bhattacharyya, Chi-squared, Cosine, and EMD are used with the CBIR system for calculating and comparing the distance between a query image and the images in a database to obtain the highest performance. In this study, the performance metrics is based on two quantitative evaluation criteria. The first one is the average retrieval rate based on the precision-recall graph and the second is the use of F1 measure which is the weighted harmonic mean of precision and recall. In case of feature extraction, texture is used as an image feature for bin level detection system. Various experiments are conducted with different features extraction techniques like Gabor wavelet filter, gray level co-occurrence matrix (GLCM), and gray level aura matrix (GLAM) to identify the level of the bin and its surrounding area. Intensive tests are conducted among 250bin images to assess the accuracy of the proposed feature extraction techniques. The average retrieval rate is used to evaluate the performance of the retrieval system. The result shows that, the EMD distance achieved high accuracy and provides better performance than the other distances.
    Matched MeSH terms: Databases, Factual
  15. Correlation between subjective and objective assessment of magnetic resonance (MR) images
    Chow LS, Rajagopal H, Paramesran R, Alzheimer's Disease Neuroimaging Initiative
    Magn Reson Imaging, 2016 07;34(6):820-831.
    PMID: 26969762 DOI: 10.1016/j.mri.2016.03.006
    Medical Image Quality Assessment (IQA) plays an important role in assisting and evaluating the development of any new hardware, imaging sequences, pre-processing or post-processing algorithms. We have performed a quantitative analysis of the correlation between subjective and objective Full Reference - IQA (FR-IQA) on Magnetic Resonance (MR) images of the human brain, spine, knee and abdomen. We have created a MR image database that consists of 25 original reference images and 750 distorted images. The reference images were distorted with six types of distortions: Rician Noise, Gaussian White Noise, Gaussian Blur, DCT compression, JPEG compression and JPEG2000 compression, at various levels of distortion. Twenty eight subjects were chosen to evaluate the images resulting in a total of 21,700 human evaluations. The raw scores were then converted to Difference Mean Opinion Score (DMOS). Thirteen objective FR-IQA metrics were used to determine the validity of the subjective DMOS. The results indicate a high correlation between the subjective and objective assessment of the MR images. The Noise Quality Measurement (NQM) has the highest correlation with DMOS, where the mean Pearson Linear Correlation Coefficient (PLCC) and Spearman Rank Order Correlation Coefficient (SROCC) are 0.936 and 0.938 respectively. The Universal Quality Index (UQI) has the lowest correlation with DMOS, where the mean PLCC and SROCC are 0.807 and 0.815 respectively. Student's T-test was used to find the difference in performance of FR-IQA across different types of distortion. The superior IQAs tested statistically are UQI for Rician noise images, Visual Information Fidelity (VIF) for Gaussian blur images, NQM for both DCT and JPEG compressed images, Peak Signal-to-Noise Ratio (PSNR) for JPEG2000 compressed images.
    Matched MeSH terms: Databases, Factual/statistics & numerical data
  16. Analyzing the relationships between travel mode indicators and the number of passenger transport fatalities at the city level
    Asadi-Shekari Z, Moeinaddini M, Sultan Z, Shah MZ, Hamzah A
    Traffic Inj Prev, 2016 08 17;17(6):650-5.
    PMID: 26890058 DOI: 10.1080/15389588.2015.1136739
    OBJECTIVE: A number of efforts have been conducted on travel behavior and transport fatalities at the neighborhood or street level, and they have identified different factors such as roadway characteristics, personal indicators, and design indicators related to transport safety. However, only a limited number of studies have considered the relationship between travel behavior indicators and the number of transport fatalities at the city level. Therefore, this study explores this relationship and how to fill the mentioned gap in current knowledge.

    METHOD: A generalized linear model (GLM) estimates the relationships between different travel mode indicators (e.g., length of motorway per inhabitants, number of motorcycles per inhabitant, percentage of daily trips on foot and by bicycle, percentage of daily trips by public transport) and the number of passenger transport fatalities. Because this city-level model is developed using data sets from different cities all over the world, the impacts of gross domestic product (GDP) are also included in the model.

    CONCLUSIONS: Overall, the results imply that the percentage of daily trips by public transport, the percentage of daily trips on foot and by bicycle, and the GDP per inhabitant have negative relationships with the number of passenger transport fatalities, whereas motorway length and the number of motorcycles have positive relationships with the number of passenger transport fatalities.

    Matched MeSH terms: Databases, Factual
  17. Pharmacovigilance activities in ASEAN countries
    Suwankesawong W, Dhippayom T, Tan-Koi WC, Kongkaew C
    Pharmacoepidemiol Drug Saf, 2016 09;25(9):1061-9.
    PMID: 27174034 DOI: 10.1002/pds.4023
    PURPOSE: This study aimed to explore the current landscape and identify challenges of pharmacovigilance (PV) among Association of Southeast Asian Nations (ASEAN) countries.

    METHODS: This cross-sectional survey collected data from May 2014 to December 2015. Questionnaires seeking to collect information on resources, processes, roles and responsibility, and functions of PV systems were sent to relevant persons in the ASEAN countries. Functions of PV centers were measured using the minimum World Health Organization requirements for a functional national PV system. Performances of PV centers were measured by the following: (1) the indicators related to the average number of individual case safety reports (ICSR); (2) presence of signal detection activities and subsequent action; and (3) contribution to the global vigilance database.

    RESULTS: Cambodia, Indonesia, Laos, Malaysia, the Philippines, Singapore, Thailand, and Vietnam completed the survey. PV systems in four surveyed countries (Indonesia, Malaysia, Singapore, and Thailand) achieved all aspects of the World Health Organization minimum requirement for a functional national PV system; the remaining countries were deemed to have unclear communication strategies and/or no official advisory committee. Average numbers of recent ICSR national returns ranged from 7 to 3817 reports/year/million population; three countries (Malaysia, Singapore, and Thailand) demonstrated good performance in reporting system and reported signal detection activities and subsequent actions. All participating countries had submitted ICSRs to the Uppsala Monitoring Center during the survey period (2013-2015).

    CONCLUSIONS: Four participating countries had functional PV systems. PV capacity, functionality, and legislative framework varied depending on local healthcare ecosystem networks. Implementing effective communication strategies and/or technical assistance from the advisory committee are needed to strengthen PV in ASEAN. Copyright © 2016 John Wiley & Sons, Ltd.

    Matched MeSH terms: Databases, Factual
  18. Is arthroscopic assisted percutaneous screw fixation as good as open reduction and internal fixation for the treatment of displaced intra-articular calcaneal fractures?
    Yeap EJ, Rao J, Pan CH, Soelar SA, Younger ASE
    Foot Ankle Surg, 2016 Sep;22(3):164-169.
    PMID: 27502224 DOI: 10.1016/j.fas.2015.06.008
    BACKGROUND: This study compares the outcomes of calcaneal fracture surgery after open reduction internal fixation and plating (ORIF) versus arthroscopic assisted percutaneous screw fixation (APSF).

    METHODS: Group I (N=12) underwent ORIF. Group II (N=15) underwent APSF. Anthropometric data, pre and post-operative stay, complications and duration off work were recorded in this retrospective case cohort study. Radiographs were analyzed for Bohler's, Gissane's angle and Sanders' classification. AOFAS Hindfoot and SF 36 scores were collected at final follow-up.

    RESULTS: Anthropometric data, Bohler's and Gissane's angles, AOFAS and SF 36 scores were not significantly different. Pre-operative duration was 12.3 days in ORIF and 6.9 days in APSF. Post-operative duration was 7.3 days vs 3.8 days. Duration off work was 6.2 months vs 2.9 months.

    CONCLUSION: The APSF group was able to have surgery earlier, go home faster, and return to work earlier. This study was not powered to demonstrate a difference in wound complication rates.

    Matched MeSH terms: Databases, Factual
  19. Determining efficient delivery routes in specific time-frames using Geographic Information System
    Abousaeidi M, Fauzi R, Muhamad R
    J Environ Biol, 2016 09;37(5 Spec No):1167-1176.
    PMID: 29989749
    Perishable products must be transported quickly from its production area to the markets due to the climatic conditions of Malaysia. Deterioration of fresh produce is affected by temperature and delivery time. The cost to achieve such timely delivery of perishable food can affect the revenue of suppliers and retailers. Choosing an efficient delivery route at right time can reduce the total transportation cost. However, insufficient attention has been given to transportation issues with regards to fresh food delivery of greater Kuala Lumpur. The present study involves adoption of the Geographic Information System (GIS) modelling approach to determine the fastest delivery routes for fresh products to several hypermarkets. For this purpose, ArcGIS software was adopted for solving the problem of a complex road networks. With a goal of realizing the shortest time for delivery route planning, impedance function would be integrated by taking into account the time emphasized in the study. The main findings of this study include determination of efficient routes for delivery of fresh vegetables based on minimal drive time. It has been proposed that the fastest route model for delivery of fresh products is based on comparing two time frames within a day. The final output of this research was a map of quickest routes with best delivery time based on two time frames.
    Matched MeSH terms: Databases, Factual
  20. Health Equity Assessment Toolkit (HEAT): software for exploring and comparing health inequalities in countries
    Hosseinpoor AR, Nambiar D, Schlotheuber A, Reidpath D, Ross Z
    BMC Med Res Methodol, 2016 10 19;16(1):141.
    PMID: 27760520
    BACKGROUND: It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequalities allows for the identification of health topics where major group differences exist, dimensions of inequality that must be prioritised to effect improvements in multiple health domains, and also population subgroups that are multiply disadvantaged. While availability of data to monitor health inequalities is gradually improving, there is a commensurate need to increase, within countries, the technical capacity for analysis of these data and interpretation of results for decision-making. Prior efforts to build capacity have yielded demand for a toolkit with the computational ability to display disaggregated data and summary measures of inequality in an interactive and customisable fashion that would facilitate interpretation and reporting of health inequality in a given country.

    METHODS: To answer this demand, the Health Equity Assessment Toolkit (HEAT), was developed between 2014 and 2016. The software, which contains the World Health Organization's Health Equity Monitor database, allows the assessment of inequalities within a country using over 30 reproductive, maternal, newborn and child health indicators and five dimensions of inequality (economic status, education, place of residence, subnational region and child's sex, where applicable).

    RESULTS/CONCLUSION: HEAT was beta-tested in 2015 as part of ongoing capacity building workshops on health inequality monitoring. This is the first and only application of its kind; further developments are proposed to introduce an upload data feature, translate it into different languages and increase interactivity of the software. This article will present the main features and functionalities of HEAT and discuss its relevance and use for health inequality monitoring.

    Matched MeSH terms: Databases, Factual/statistics & numerical data
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