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Fulltext National Trauma Database (NTrD)--improving trauma care: first year report

Sabariah FJ, Ramesh N, Mahathar AW

Med J Malaysia, 2008 Sep;63 Suppl C:45-9.
PMID: 19227673

The first Malaysian National Trauma Database was launched in May 2006 with five tertiary referral centres to determine the fundamental data on major trauma, subsequently to evaluate the major trauma management and to come up with guidelines for improved trauma care. A prospective study, using standardized and validated questionnaires, was carried out from May 2006 till April 2007 for all cases admitted and referred to the participating hospitals. During the one year period, 123,916 trauma patients were registered, of which 933 (0.75%) were classified as major trauma. Patients with blunt injury made up for 83.9% of cases and RTA accounted for 72.6% of injuries with 64.9% involving motorcyclist and pillion rider. 42.8% had severe head injury with an admission Glasgow Coma Scale (GCS) of 3-8 and the Revised Trauma Score (RTS) of 5-6 were recorded in 28.8% of patients. The distribution of Injury Severity Score (ISS) showed that 42.9% of cases were in the range of 16-24. Only 1.9% and 6.3% of the patients were reviewed by the Emergency Physician and Surgeon respectively. Patients with admission systolic blood pressure of less than 90 mmHg had a death rate of 54.6%. Patients with severe head injury (GCS < 9), 45.1% died while 79% patients with moderate head injury survived. There were more survivors within the higher RTS range compared to the lower RTS. Patients with direct admission accounted for 52.3% of survivors and there were 61.7% survivors for referred cases. In conclusion, NTrD first report has successfully demonstrated its significance in giving essential data on major trauma in Malaysia, however further expansion of the study may reflect more comprehensive trauma database in this country.

Matched MeSH terms: Databases, Factual/standards; Databases, Factual/statistics & numerical data
A decision support system for automatic screening of non-proliferative diabetic retinopathy

Reza AW, Eswaran C

J Med Syst, 2011 Feb;35(1):17-24.
PMID: 20703589 DOI: 10.1007/s10916-009-9337-y

The increasing number of diabetic retinopathy (DR) cases world wide demands the development of an automated decision support system for quick and cost-effective screening of DR. We present an automatic screening system for detecting the early stage of DR, which is known as non-proliferative diabetic retinopathy (NPDR). The proposed system involves processing of fundus images for extraction of abnormal signs, such as hard exudates, cotton wool spots, and large plaque of hard exudates. A rule based classifier is used for classifying the DR into two classes, namely, normal and abnormal. The abnormal NPDR is further classified into three levels, namely, mild, moderate, and severe. To evaluate the performance of the proposed decision support framework, the algorithms have been tested on the images of STARE database. The results obtained from this study show that the proposed system can detect the bright lesions with an average accuracy of about 97%. The study further shows promising results in classifying the bright lesions correctly according to NPDR severity levels.

Matched MeSH terms: Databases, Factual
Fulltext A novel state space reduction algorithm for team formation in social networks

Rehman MZ, Zamli KZ, Almutairi M, Chiroma H, Aamir M, Kader MA, et al.

PLoS One, 2021;16(12):e0259786.
PMID: 34855771 DOI: 10.1371/journal.pone.0259786

Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF's. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts-resulting in the formation of more communicative teams with high expertise levels.

Matched MeSH terms: Databases, Factual
Evaluation of model-based methods in estimating respiratory mechanics in the presence of variable patient effort

Redmond DP, Chiew YS, Major V, Chase JG

Comput Methods Programs Biomed, 2019 Apr;171:67-79.
PMID: 27697371 DOI: 10.1016/j.cmpb.2016.09.011

Monitoring of respiratory mechanics is required for guiding patient-specific mechanical ventilation settings in critical care. Many models of respiratory mechanics perform poorly in the presence of variable patient effort. Typical modelling approaches either attempt to mitigate the effect of the patient effort on the airway pressure waveforms, or attempt to capture the size and shape of the patient effort. This work analyses a range of methods to identify respiratory mechanics in volume controlled ventilation modes when there is patient effort. The models are compared using 4 Datasets, each with a sample of 30 breaths before, and 2-3 minutes after sedation has been administered. The sedation will reduce patient efforts, but the underlying pulmonary mechanical properties are unlikely to change during this short time. Model identified parameters from breathing cycles with patient effort are compared to breathing cycles that do not have patient effort. All models have advantages and disadvantages, so model selection may be specific to the respiratory mechanics application. However, in general, the combined method of iterative interpolative pressure reconstruction, and stacking multiple consecutive breaths together has the best performance over the Dataset. The variability of identified elastance when there is patient effort is the lowest with this method, and there is little systematic offset in identified mechanics when sedation is administered.

Matched MeSH terms: Databases, Factual
Fulltext Challenges of the next decade for the Asia Pacific region: 2010 International Conference in Bioinformatics (InCoB 2010)

Ranganathan S, Schönbach C, Nakai K, Tan TW

BMC Genomics, 2010;11 Suppl 4:S1.
PMID: 21143792 DOI: 10.1186/1471-2164-11-S4-S1

The 2010 annual conference of the Asia Pacific Bioinformatics Network (APBioNet), Asia's oldest bioinformatics organisation formed in 1998, was organized as the 9th International Conference on Bioinformatics (InCoB), Sept. 26-28, 2010 in Tokyo, Japan. Initially, APBioNet created InCoB as forum to foster bioinformatics in the Asia Pacific region. Given the growing importance of interdisciplinary research, InCoB2010 included topics targeting scientists in the fields of genomic medicine, immunology and chemoinformatics, supporting translational research. Peer-reviewed manuscripts that were accepted for publication in this supplement, represent key areas of research interests that have emerged in our region. We also highlight some of the current challenges bioinformatics is facing in the Asia Pacific region and conclude our report with the announcement of APBioNet's 100 BioDatabases (BioDB100) initiative. BioDB100 will comply with the database criteria set out earlier in our proposal for Minimum Information about a Bioinformatics and Investigation (MIABi), setting the standards for biocuration and bioinformatics research, on which we will report at the next InCoB, Nov. 27 - Dec. 2, 2011 at Kuala Lumpur, Malaysia.

Matched MeSH terms: Databases, Factual
Fulltext Global, regional, and national trends and patterns in physical activity research since 1950: a systematic review

Ramírez Varela A, Cruz GIN, Hallal P, Blumenberg C, da Silva SG, Salvo D, et al.

Int J Behav Nutr Phys Act, 2021 01 07;18(1):5.
PMID: 33413479 DOI: 10.1186/s12966-020-01071-x

BACKGROUND: National, regional and global scientific production and research capacity for physical activity - PA may contribute to improving public health PA policies and programs. There is an uneven distribution of research productivity by region and country income group, where countries with the highest burden of non-communicable diseases attributable to physical inactivity having low research productivity. A first step towards improving global research capacity is to objectively quantify patterns, trends, and gaps in PA research. This study describes national, regional and global trends and patterns of PA research from 1950 to 2019.
METHODS: A systematic review using searches in PubMed, SCOPUS and ISI Web of Knowledge databases was conducted in August 2017 and updated between January and May 2020. The review was registered at the PROSPERO database number CRD42017070153. PA publications per 100,000 inhabitants per country was the main variable of interest. Descriptive and time-trend analyses were conducted in STATA version 16.0.
RESULTS: The search retrieved 555,468 articles of which 75,756 were duplicates, leaving 479,712 eligible articles. After reviewing inclusion and exclusion criteria, 23,860 were eligible for data extraction. Eighty-one percent of countries (n = 176) had at least one PA publication. The overall worldwide publication rate in the PA field was 0.46 articles per 100,000 inhabitants. Europe had the highest rate (1.44 articles per 100,000 inhabitants) and South East Asia had the lowest (0.04 articles per 100,000 inhabitants). A more than a 50-fold difference in publications per 100,000 inhabitants was identified between high and low-income countries. The least productive and poorest regions have rates resembling previous decades of the most productive and the richest.
CONCLUSION: This study showed an increasing number of publications over the last 60 years with a growing number of disciplines and research methods over time. However, striking inequities were revealed and the knowledge gap across geographic regions and by country income groups was substantial over time. The need for regular global surveillance of PA research, particularly in countries with the largest data gaps is clear. A focus on the public health impact and global equity of research will be an important contribution to making the world more active.

Matched MeSH terms: Databases, Factual
Fulltext Plant Disease Detection and Classification: A Systematic Literature Review

Ramanjot, Mittal U, Wadhawan A, Singla J, Jhanjhi NZ, Ghoniem RM, et al.

Sensors (Basel), 2023 May 15;23(10).
PMID: 37430683 DOI: 10.3390/s23104769

A significant majority of the population in India makes their living through agriculture. Different illnesses that develop due to changing weather patterns and are caused by pathogenic organisms impact the yields of diverse plant species. The present article analyzed some of the existing techniques in terms of data sources, pre-processing techniques, feature extraction techniques, data augmentation techniques, models utilized for detecting and classifying diseases that affect the plant, how the quality of images was enhanced, how overfitting of the model was reduced, and accuracy. The research papers for this study were selected using various keywords from peer-reviewed publications from various databases published between 2010 and 2022. A total of 182 papers were identified and reviewed for their direct relevance to plant disease detection and classification, of which 75 papers were selected for this review after exclusion based on the title, abstract, conclusion, and full text. Researchers will find this work to be a useful resource in recognizing the potential of various existing techniques through data-driven approaches while identifying plant diseases by enhancing system performance and accuracy.

Matched MeSH terms: Databases, Factual
Fulltext Analysis of DICOM Image Compression Alternative Using Huffman Coding

Rahmat RF, Andreas TSM, Fahmi F, Pasha MF, Alzahrani MY, Budiarto R

J Healthc Eng, 2019;2019:5810540.
PMID: 31316743 DOI: 10.1155/2019/5810540

Compression, in general, aims to reduce file size, with or without decreasing data quality of the original file. Digital Imaging and Communication in Medicine (DICOM) is a medical imaging file standard used to store multiple information such as patient data, imaging procedures, and the image itself. With the rising usage of medical imaging in clinical diagnosis, there is a need for a fast and secure method to share large number of medical images between healthcare practitioners, and compression has always been an option. This work analyses the Huffman coding compression method, one of the lossless compression techniques, as an alternative method to compress a DICOM file in open PACS settings. The idea of the Huffman coding compression method is to provide codeword with less number of bits for the symbol that has a higher value of byte frequency distribution. Experiments using different type of DICOM images are conducted, and the analysis on the performances in terms of compression ratio and compression/decompression time, as well as security, is provided. The experimental results showed that the Huffman coding technique has the capability to compress the DICOM file up to 1 : 3.7010 ratio and up to 72.98% space savings.

Matched MeSH terms: Databases, Factual
Fulltext PAX7, a Key for Myogenesis Modulation in Muscular Dystrophies through Multiple Signaling Pathways: A Systematic Review

Rahman NIA, Lam CL, Sulaiman N, Abdullah NAH, Nordin F, Ariffin SHZ, et al.

Int J Mol Sci, 2023 Aug 22;24(17).
PMID: 37685856 DOI: 10.3390/ijms241713051

Muscular dystrophy is a heterogenous group of hereditary muscle disorders caused by mutations in the genes responsible for muscle development, and is generally defined by a disastrous progression of muscle wasting and massive loss in muscle regeneration. Pax7 is closely associated with myogenesis, which is governed by various signaling pathways throughout a lifetime and is frequently used as an indicator in muscle research. In this review, an extensive literature search adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was performed to identify research that examined signaling pathways in living models, while quantifying Pax7 expression in myogenesis. A total of 247 articles were retrieved from the Web of Science (WoS), PubMed and Scopus databases and were thoroughly examined and evaluated, resulting in 19 articles which met the inclusion criteria. Admittedly, we were only able to discuss the quantification of Pax7 carried out in research affecting various type of genes and signaling pathways, rather than the expression of Pax7 itself, due to the massive differences in approach, factor molecules and signaling pathways analyzed across the research. However, we highlighted the thorough evidence for the alteration of the muscle stem cell precursor Pax7 in multiple signaling pathways described in different living models, with an emphasis on the novel approach that could be taken in manipulating Pax7 expression itself in dystrophic muscle, towards the discovery of an effective treatment for muscular dystrophy. Therefore, we believe that this could be applied to the potential gap in muscle research that could be filled by tuning the well-established marker expression to improve dystrophic muscle.

Matched MeSH terms: Databases, Factual
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images

Raghavendra U, Gudigar A, Maithri M, Gertych A, Meiburger KM, Yeong CH, et al.

Comput Biol Med, 2018 04 01;95:55-62.
PMID: 29455080 DOI: 10.1016/j.compbiomed.2018.02.002

Ultrasound imaging is one of the most common visualizing tools used by radiologists to identify the location of thyroid nodules. However, visual assessment of nodules is difficult and often affected by inter- and intra-observer variabilities. Thus, a computer-aided diagnosis (CAD) system can be helpful to cross-verify the severity of nodules. This paper proposes a new CAD system to characterize thyroid nodules using optimized multi-level elongated quinary patterns. In this study, higher order spectral (HOS) entropy features extracted from these patterns appropriately distinguished benign and malignant nodules under particle swarm optimization (PSO) and support vector machine (SVM) frameworks. Our CAD algorithm achieved a maximum accuracy of 97.71% and 97.01% in private and public datasets respectively. The evaluation of this CAD system on both private and public datasets confirmed its effectiveness as a secondary tool in assisting radiological findings.

Matched MeSH terms: Databases, Factual*
Fulltext Is School Gardening Combined with Physical Activity Intervention Effective for Improving Childhood Obesity? A Systematic Review and Meta-Analysis

Qi Y, Hamzah SH, Gu E, Wang H, Xi Y, Sun M, et al.

Nutrients, 2021 Jul 28;13(8).
PMID: 34444765 DOI: 10.3390/nu13082605

School gardening activities (SGA) combined with physical activities (PA) may improve childhood dietary intake and prevent overweight and obesity. This study aims to evaluate the effect of SGA combined with PA on children's dietary intake and anthropometric outcomes. We searched studies containing randomized controlled trials up to January 2021 in Web of Science, PubMed, Cochrane Library, and the EBSCO database on this topic for children aged 7 to 12 years. Fourteen studies met the requirements for meta-analysis (n = 9187). We found that SGA has no obvious effect on improving children's BMI (WMD = -0.49; p = 0.085; I2 = 86.3%), BMI z-score (WMD = -0.12; p = 0.235; I2 = 63.0%), and WC (WMD = -0.98; p = 0.05; I2 = 72.9%). SGA can effectively improve children's FVs (WMD = 0.59, p = 0.003, I2 = 95.3%). SGA combined with PA can significantly increase children's FVs but cannot greatly improve weight status. Although more studies on this topic are needed to prove the effectiveness of this method, the results of our review show that both SGA and SGA combined with PA has a modest but positive impact of reducing BMI and WC outcomes but can significantly increase children's FVs.

Matched MeSH terms: Databases, Factual
Fulltext Nasopharyngeal Carcinoma Database

Pua KC, Khoo AS, Yap YY, Subramaniam SK, Ong CA, Gopala Krishnan G, et al.

Med J Malaysia, 2008 Sep;63 Suppl C:59-62.
PMID: 19230249

Nasopharyngeal carcinoma (NPC) is a cancer which is common in Asia. We report the establishment and early results of a multi-institutional prospective study of nasopharyngeal carcinoma, which seeks to systematically collect data as well as blood and tumour tissue samples from patients diagnosed with nasopharyngeal cancer at six centres in Malaysia. A total of 484 confirmed NPC cases were reported from the six participating centres between 1st July 2007 and 29th February 2008. Of these, 225 were newly diagnosed cases, 53 were recurrent cases and 206 were in remission at the time of reporting. Amongst the newly diagnosed cases, the most common presenting symptom was the presence of neck lumps (42%). Ophthalmo-neurologic symptoms were the presenting symptoms of 11% of the new cases. The majority of cases (75%) presented at stage III/IV.

Matched MeSH terms: Databases, Factual/standards; Databases, Factual/statistics & numerical data
Fulltext CD4:CD8 ratio comparison between cohorts of HIV-positive Asians and Caucasians upon commencement of antiretroviral therapy

Petoumenos K, Choi JY, Hoy J, Kiertiburanakul S, Ng OT, Boyd M, et al.

Antivir Ther, 2017;22(8):659-668.
PMID: 28291735 DOI: 10.3851/IMP3155

BACKGROUND: In the era of effective antiretroviral treatment (ART) CD4:CD8 ratio is proposed as a potential marker for HIV-positive (HIV+) patients at increased risk for non-AIDS comorbidities. The current study aims to compare CD4:CD8 ratio between Asian and Caucasian HIV+ patients.
METHODS: HIV+ patients from the Australian HIV Observational Database (AHOD) and the TREAT Asia HIV Observational Database (TAHOD) meeting specific criteria were included. In these analyses Asian and Caucasian status were defined by cohort. Factors associated with a low CD4:CD8 ratio (cutoff <0.2) prior to ART commencement, and with achieving a normal CD4:CD8 ratio (>1) at 12 and 24 months post ART commencement were assessed using logistic regression.
RESULTS: There were 591 patients from AHOD and 2,620 patients from TAHOD who met the inclusion criteria. TAHOD patients had a significantly (P<0.001) lower odds of having a baseline (prior to ART initiation) CD4:CD8 ratio greater than 0.2. After 12 months of ART, AHOD patients were more than twice as likely to achieve a normal CD4:CD8 ratio compared to TAHOD patients (15% versus 6%). However, after adjustment for confounding factors there was no significant difference between cohorts in the odds of achieving a CD4:CD8 ratio >1 (P=0.475).
CONCLUSIONS: We found a significantly lower CD4:CD8 ratio prior to commencing ART in TAHOD compared to AHOD even after adjusting for confounders. However, after adjustment, there was no significant difference between the cohorts in odds of achieving normal ratio. Baseline CD4+ and CD8+ counts seem to be the main driver for this difference between these two populations.

Matched MeSH terms: Databases, Factual
Exploration of Global Trend on Biomedical Application of Polyhydroxyalkanoate (PHA): A Patent Survey

Paulraj P, Vnootheni N, Chandramohan M, Thevarkattil MJP

Recent Pat Biotechnol, 2018;12(3):186-199.
PMID: 29384069 DOI: 10.2174/1872208312666180131114125

BACKGROUND: Polyhydroxyalkanoates are bio-based, biodegradable naturally occurring polymers produced by a wide range of organisms, from bacteria to higher mammals. The properties and biocompatibility of PHA make it possible for a wide spectrum of applications. In this context, we analyze the potential applications of PHA in biomedical science by exploring the global trend through the patent survey. The survey suggests that PHA is an attractive candidate in such a way that their applications are widely distributed in the medical industry, drug delivery system, dental material, tissue engineering, packaging material as well as other useful products.
OBJECTIVE: In our present study, we explored patents associated with various biomedical applications of polyhydroxyalkanoates.
METHOD: Patent databases of European Patent Office, United States Patent and Trademark Office and World Intellectual Property Organization were mined. We developed an intensive exploration approach to eliminate overlapping patents and sort out significant patents.We demarcated the keywords and search criterions and established search patterns for the database request. We retrieved documents within the recent 6 years, 2010 to 2016 and sort out the collected data stepwise to gather the most appropriate documents in patent families for further scrutiny.
RESULTS: By this approach, we retrieved 23,368 patent documents from all the three databases and the patent titles were further analyzed for the relevance of polyhydroxyalkanoates in biomedical applications. This ensued in the documentation of approximately 226 significant patents associated with biomedical applications of polyhydroxyalkanoates and the information was classified into six major groups. Polyhydroxyalkanoates has been patented in such a way that their applications are widely distributed in the medical industry, drug delivery system, dental material, tissue engineering, packagingmaterial as well as other useful products.
CONCLUSION: There are many avenues through which PHA & PHB could be used. Our analysis shows patent information can be used to identify various applications of PHA and its representatives in the biomedical field. Upcoming studies can focus on the application of PHA in the different field to discover the related topics and associate to this study.We believe that this approach of analysis and findings can initiate new researchers to undertake similar kind of studies in their represented field to fill the gap between the patent articles and research publications.

Matched MeSH terms: Databases, Factual
Allopurinol-induced severe cutaneous adverse drug reactions: Risk minimization measures in Malaysia

Panickar R, Wo WK, Ali NM, Tang MM, Ramanathan GRL, Kamarulzaman A, et al.

Pharmacoepidemiol Drug Saf, 2020 10;29(10):1254-1262.
PMID: 33084196 DOI: 10.1002/pds.5033

PURPOSE: To describe risk minimization measures (RMMs) implemented in Malaysia for allopurinol-induced severe cutaneous adverse drug reactions (SCARs) and examine their impact using real-world data on allopurinol usage and adverse drug reaction (ADR) reports associated with allopurinol.
METHODS: Data on allopurinol ADR reports (2000-2018) were extracted from the Malaysian ADR database. We identified RMMs implemented between 2000 and 2018 from the minutes of relevant meetings and the national pharmacovigilance newsletter. We obtained allopurinol utilization data (2004-2018) from the Pharmaceutical Services Programme. To determine the impact of RMMs on ADR reporting, we considered ADR reports received within 1 year of RMM implementation. We used the Pearson χ2 test to examine the relation between the implementation of RMMs and allopurinol ADR reports.
RESULTS: The 16 RMMs for allopurinol-related SCARs implemented in Malaysia involved nine risk communications, four prescriber or patient educational material, and three health system innovations. Allopurinol utilization decreased by 21.5% from 2004 to 2018. ADR reporting rates for all drugs (n = 144 507) and allopurinol (n = 1747) increased. ADR reports involving off-label use decreased by 6% from 2011. SCARs cases remained between 20% and 50%. RMMs implemented showed statistically significant reduction in ADR reports involving off-label use for August 2014 [χ2(1, N = 258) = 5.32, P = .021] and October 2016 [χ2(1, N = 349) = 3.85, P = .0499].
CONCLUSIONS: RMMs to promote the appropriate use of allopurinol and prescriber education have a positive impact. We need further measures to reduce the incidence and severity of allopurinol-induced SCARs, such as patient education and more research into pharmacogenetic screening.

Matched MeSH terms: Databases, Factual
Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach

Oyehan TA, Alade IO, Bagudu A, Sulaiman KO, Olatunji SO, Saleh TA

Comput Biol Med, 2018 07 01;98:85-92.
PMID: 29777986 DOI: 10.1016/j.compbiomed.2018.04.024

The optical properties of blood play crucial roles in medical diagnostics and treatment, and in the design of new medical devices. Haemoglobin is a vital constituent of the blood whose optical properties affect all of the optical properties of human blood. The refractive index of haemoglobin has been reported to strongly depend on its concentration which is a function of the physiology of biological cells. This makes the refractive index of haemoglobin an essential non-invasive bio-marker of diseases. Unfortunately, the complexity of blood tissue makes it challenging to experimentally measure the refractive index of haemoglobin. While a few studies have reported on the refractive index of haemoglobin, there is no solid consensus with the data obtained due to different measuring instruments and the conditions of the experiments. Moreover, obtaining the refractive index via an experimental approach is quite laborious. In this work, an accurate, fast and relatively convenient strategy to estimate the refractive index of haemoglobin is reported. Thus, the GA-SVR model is presented for the prediction of the refractive index of haemoglobin using wavelength, temperature, and the concentration of haemoglobin as descriptors. The model developed is characterised by an excellent accuracy and very low error estimates. The correlation coefficients obtained in these studies are 99.94% and 99.91% for the training and testing results, respectively. In addition, the result shows an almost perfect match with the experimental data and also demonstrates significant improvement over a recent mathematical model available in the literature. The GA-SVR model predictions also give insights into the influence of concentration, wavelength, and temperature on the RI measurement values. The model outcome can be used not only to accurately estimate the refractive index of haemoglobin but also could provide a reliable common ground to benchmark the experimental refractive index results.

Matched MeSH terms: Databases, Factual
Identifying contributing factors to fatal and serious injury motorcycle collisions involving children in Malaysia

Oxley J, Ravi MD, Yuen J, Hoareau E, Hashim HH

Ann Adv Automot Med, 2014 1 11;57:329-36.
PMID: 24406968

In Malaysia, motorcycle crashes constitute approximately 60 percent of all road trauma, and a substantial proportion involve children 16 years and younger. There are, however, many gaps in our knowledge on contributing factors to crashes and injury patterns amongst children killed and seriously injured in motorcycle crashes. The aim of this study was to examine fatal and serious injury motorcycle-related collisions to identify contributing factors and injury patterns amongst child motorcyclists. All identified motorcyclist fatal crashes between 2007 and 2011 (inclusive) were extracted from the national Police-reported crash database (M-ROADS) and a range of variables were selected for examination. A total of 17,677 crashes were extracted where a rider or pillion was killed and of these crashes 2,038 involved children, equating to 12 percent. Examination of crashes involving children revealed that some crashes involved more than two children on the motorcycle, therefore, overall children constituted 9.5% of fatal and 18.4% of serious injury collisions. A high proportion of child fatal or serious injury collisions involved the child as the rider (62%), and this was most common for children aged between 10 and 16 years. The majority of collisions occurred on rural roads, in speed limit zones of 50-70km/h, and approximately one-third occurred at an intersection. Collisions involving another motorcycle or a passenger vehicle contributed to 41% and 53% of the total fatalities and severe injuries, respectively. A high proportion (43.9%) of the children (25.5% riders and 18.8% pillion) sustained head injuries with 37.7% being in the 10-16 age group. Furthermore, 52.4% of the children sustaining head injuries did not wear a helmet. The implications of these findings for countermeasures within a Safe System framework, particularly interventions aimed at reducing the rate of unlicensed riding and helmet wearing, and infrastructure countermeasures are discussed.

Matched MeSH terms: Databases, Factual
What is of interest in Endodontology? A bibliometric review of research published in the International Endodontic Journal and the Journal of Endodontics from 1980 to 2019

Ordinola-Zapata R, Peters OA, Nagendrababu V, Azevedo B, Dummer PMH, Neelakantan P

Int Endod J, 2020 Jan;53(1):36-52.
PMID: 31454086 DOI: 10.1111/iej.13210

AIM: To report the most common terminology used in titles of scientific papers published in the International Endodontic Journal (IEJ) and Journal of Endodontics (JOE) between 1980 and 2019 and to identify the most-cited papers in these journals.
METHODOLOGY: The Web of Science database was searched to retrieve all the manuscripts published in the IEJ and JOE between 1980 and 2019. The articles were analysed using the VOS viewer software and the terms within the titles extracted. The top-10 terms were categorized according to the number of occurrences and the decade of publication. Maps were created using the text data for each decade of publication. Classic papers were identified when the number of citations was >400. During the same period of time, highly cited studies were identified including the authors, institutions and countries associated with these papers.
RESULTS: Terms such as canal, molar and periapical lesion were the most commonly used in titles between 1980 and 1999. The terms instruments, expression, case report and cell were the most often terms used between 2000 and 2019. During the last 10 years, an increase in the number of reviews and papers on cone beam computed tomography occurred. The organizations with the largest number of citations in each decade were University of São Paulo, University College London, Loma Linda University and United States Army. The country with the largest number of citations and greatest number of top 10 and top 100 manuscripts was the United States. A paper had to be associated with more than 167 citations to be included in the top-100 most-cited list; at least 14 papers met the criteria to be categorized as a citation classic (>400 citations).
CONCLUSION: While many diverse areas of endodontics have been explored in the last 40 years within the IEJ and JOE, only a relatively few topics are highly cited and can be considered as classics.

Matched MeSH terms: Databases, Factual
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*
Fulltext The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review

Olakotan OO, Mohd Yusof M

Health Informatics J, 2021 4 16;27(2):14604582211007536.
PMID: 33853395 DOI: 10.1177/14604582211007536

A CDSS generates a high number of inappropriate alerts that interrupt the clinical workflow. As a result, clinicians silence, disable, or ignore alerts, thereby undermining patient safety. Therefore, the effectiveness and appropriateness of CDSS alerts need to be evaluated. A systematic review was carried out to identify the factors that affect CDSS alert appropriateness in supporting clinical workflow. Seven electronic databases (PubMed, Scopus, ACM, Science Direct, IEEE, Ovid Medline, and Ebscohost) were searched for English language articles published between 1997 and 2018. Seventy six papers met the inclusion criteria, of which 26, 24, 15, and 11 papers are retrospective cohort, qualitative, quantitative, and mixed-method studies, respectively. The review highlights various factors influencing the appropriateness and efficiencies of CDSS alerts. These factors are categorized into technology, human, organization, and process aspects using a combination of approaches, including socio-technical framework, five rights of CDSS, and Lean. Most CDSS alerts were not properly designed based on human factor methods and principles, explaining high alert overrides in clinical practices. The identified factors and recommendations from the review may offer valuable insights into how CDSS alerts can be designed appropriately to support clinical workflow.

Matched MeSH terms: Databases, Factual

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