Displaying publications 101 - 120 of 312 in total

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  1. Alofe O, Kisanga E, Inayat-Hussain SH, Fukumura M, Garcia-Milian R, Perera L, et al.
    Environ Int, 2019 10;131:104969.
    PMID: 31310931 DOI: 10.1016/j.envint.2019.104969
    Environmental and occupational exposure to industrial chemicals has been linked to toxic and carcinogenic effects in animal models and human studies. However, current toxicology testing does not thoroughly explore the endocrine disrupting effects of industrial chemicals, which may have low dose effects not predicted when determining the limit of toxicity. The objective of this study was to evaluate the endocrine disrupting potential of a broad range of chemicals used in the petrochemical sector. Therefore, 139 chemicals were classified for reproductive toxicity based on the United Nations Globally Harmonized System for hazard classification. These chemicals were evaluated in PubMed for reported endocrine disrupting activity, and their endocrine disrupting potential was estimated by identifying chemicals with active nuclear receptor endpoints publicly available databases. Evaluation of ToxCast data suggested that these chemicals preferentially alter the activity of the estrogen receptor (ER). Four chemicals were prioritized for in vitro testing using the ER-positive, immortalized human uterine Ishikawa cell line and a range of concentrations below the reported limit of toxicity in humans. We found that 2,6-di-tert-butyl-p-cresol (BHT) and diethanolamine (DEA) repressed the basal expression of estrogen-responsive genes PGR, NPPC, and GREB1 in Ishikawa cells, while tetrachloroethylene (PCE) and 2,2'-methyliminodiethanol (MDEA) induced the expression of these genes. Furthermore, low-dose combinations of PCE and MDEA produced additive effects. All four chemicals interfered with estradiol-mediated induction of PGR, NPPC, and GREB1. Molecular docking demonstrated that these chemicals could bind to the ligand binding site of ERα, suggesting the potential for direct stimulatory or inhibitory effects. We found that these chemicals altered rates of proliferation and regulated the expression of cell proliferation associated genes. These findings demonstrate previously unappreciated endocrine disrupting effects and underscore the importance of testing the endocrine disrupting potential of chemicals in the future to better understand their potential to impact public health.
    Matched MeSH terms: Databases, Factual*
  2. Al-Dhaqm A, Razak S, Othman SH, Ngadi A, Ahmed MN, Ali Mohammed A
    PLoS One, 2017;12(2):e0170793.
    PMID: 28146585 DOI: 10.1371/journal.pone.0170793
    Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent.
    Matched MeSH terms: Databases, Factual*
  3. Dzulkifli AR, Aishah AL, Ch'ng HS, Rose A, Rahmat A, Isa AM, et al.
    J Audiov Media Med, 1994 Jul;17(3):117-20.
    PMID: 7636117
    A number of health databases is now available in Malaysia, but few are accessible to the general public. However, recently a service was launched nationwide via a videotex system to also target the Malaysia public. This service is provided by the School of Pharmaceutical Sciences, Universiti Sains Malaysia (USM) in collaboration with several Malaysian Government ministries and agencies. Access to health information via videotex, be it medical, pharmaceutical or environmental is viewed as an effective means of on-line information dissemination. It provides not only rapid retrieval but is also economical and interactive, particularly suitable for a developing country.
    Matched MeSH terms: Databases, Factual*
  4. Hassan A, Ibrahim F
    J Digit Imaging, 2011 Apr;24(2):308-13.
    PMID: 20386951 DOI: 10.1007/s10278-010-9283-8
    This paper presents the development of kidney TeleUltrasound consultation system. The TeleUltrasound system provides an innovative design that aids the acquisition, archiving, and dissemination of medical data and information over the internet as its backbone. The system provides data sharing to allow remote collaboration, viewing, consultation, and diagnosis of medical data. The design is layered upon a standard known as Digital Imaging and Communication in Medicine (DICOM). The DICOM standard defines protocols for exchanging medical images and their associated data. The TeleUltrasound system is an integrated solution for retrieving, processing, and archiving images and providing data storage management using Structured Query Language (SQL) database. Creating a web-based interface is an additional advantage to achieve global accessibility of experts that will widely open the opportunity of greater examination and multiple consultations. This system is equipped with a high level of data security and its performance has been tested with white, black, and gray box techniques. And the result was satisfactory. The overall system has been evaluated by several radiologists in Malaysia, United Arab Emirates, and Sudan, the result is shown within this paper.
    Matched MeSH terms: Databases, Factual
  5. Kandane-Rathnayake R, Golder V, Louthrenoo W, Luo SF, Jan Wu YJ, Li Z, et al.
    Int J Rheum Dis, 2019 Mar;22(3):425-433.
    PMID: 30398013 DOI: 10.1111/1756-185X.13431
    AIM: The aim of this manuscript is to describe the development of the Asia Pacific Lupus Collaboration (APLC) cohort.

    METHOD: The APLC cohort is an ongoing, prospective longitudinal cohort. Adult patients who meet either the American College of Rheumatology (ACR) Modified Classification Criteria for systemic lupus erythematosus (SLE), or the Systemic Lupus International Collaborating Clinics (SLICC) Classification Criteria, and provide informed consent are recruited into the cohort. Patients are routinely followed up at 3- to 6-monthly intervals. Information on demographics, clinical manifestations, treatment, pathology results, outcomes, and patient-reported quality of life (Short-form 36 version 2) are collected using a standardized case report form. Each site is responsible for obtaining local ethics and governance approval, patient recruitment, data collection, and data transfer into a centralized APLC database.

    RESULTS: The latest APLC cohort comprises 2160 patients with >12 000 visits from Australia, China, Hong Kong, Indonesia, Japan, Malaysia, Philippines, Singapore, Taiwan and Thailand. The APLC has proposed the Lupus Low Disease Activity State (LLDAS) as a treat-to-target (T2T) endpoint, and reported several retrospective and cross-sectional analyses consistent with the validity of LLDAS. Longitudinal validation of LLDAS as a T2T endpoint is currently underway.

    CONCLUSION: The APLC cohort is one of the largest contemporary SLE patient cohorts in the world. It is the only cohort with substantial representation of Asian patients. This cohort represents a unique resource for future clinical research including evaluation of other endpoints and quality of care.

    Matched MeSH terms: Databases, Factual
  6. 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
  7. Koh JEW, Acharya UR, Hagiwara Y, Raghavendra U, Tan JH, Sree SV, et al.
    Comput Biol Med, 2017 05 01;84:89-97.
    PMID: 28351716 DOI: 10.1016/j.compbiomed.2017.03.008
    Vision is paramount to humans to lead an active personal and professional life. The prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic Retinopathy (DR) and Age-related Macular Degeneration (AMD) are the leading causes of blindness in developed countries. Identifying these diseases in mass screening programmes is time-consuming, labor-intensive and the diagnosis can be subjective. The use of an automated computer aided diagnosis system will reduce the time taken for analysis and will also reduce the inter-observer subjective variabilities in image interpretation. In this work, we propose one such system for the automatic classification of normal from abnormal (DR, AMD, glaucoma) images. We had a total of 404 normal and 1082 abnormal fundus images in our database. As the first step, 2D-Continuous Wavelet Transform (CWT) decomposition on the fundus images of two classes was performed. Subsequently, energy features and various entropies namely Yager, Renyi, Kapoor, Shannon, and Fuzzy were extracted from the decomposed images. Then, adaptive synthetic sampling approach was applied to balance the normal and abnormal datasets. Next, the extracted features were ranked according to the significances using Particle Swarm Optimization (PSO). Thereupon, the ranked and selected features were used to train the random forest classifier using stratified 10-fold cross validation. Overall, the proposed system presented a performance rate of 92.48%, and a sensitivity and specificity of 89.37% and 95.58% respectively using 15 features. This novel system shows promise in detecting abnormal fundus images, and hence, could be a valuable adjunct eye health screening tool that could be employed in polyclinics, and thereby reduce the workload of specialists at hospitals.
    Matched MeSH terms: Databases, Factual
  8. Siddiqui S, Zainal H, Harun SN, Sheikh Ghadzi SM
    Clin Nutr ESPEN, 2019 02;29:213-223.
    PMID: 30661689 DOI: 10.1016/j.clnesp.2018.10.002
    BACKGROUND: The contribution of dietary factors in the development and progression of pre-diabetes has been increasingly recognized. However, due to high variability in dietary habits measurement of dietary intake remains one of the most challenging tasks in this population. Food frequency questionnaire (FFQ) which investigates usual dietary intake can be used to identify frequent consumption of foods such as dietary fat, fiber, grains that are linked to the risk of pre-diabetes.

    METHOD: This systematic review was conducted to identify and describe FFQs that measure dietary intake of pre-diabetic patients and to examine their relative validity and reliability. The systematic search was done through electronic databases such as PubMed, CINAHL, PsycINFO, ProQuest and Scopus. Methodological quality of included studies and results of study outcome was also summarized in this review.

    RESULT: The search identified 445 papers, of which 18 studies reported 15 FFQs, met inclusion criteria. Most of the FFQs (n = 12) were semi-quantitative while three were frequency measures with portion size estimation of selected food items. Test-retest reliability of FFQ was reported in 7 (38.3%) studies with the correlation coefficient of 0.33-0.92. Relative validity of FFQ was reported in 16 (88.8%) studies with the range of correlation coefficient of 0.08-0.83. Dietary patterns rich in carbohydrate, fat, animal protein and n-3 fatty acids were associated with increased risk of pre-diabetes.

    CONCLUSION: No well-established disease-specific FFQ identified in the literature. Development of a valid, practical and reliable tool is needed for better understanding of the impact of diet in pre-diabetic population.

    Matched MeSH terms: Databases, Factual
  9. Zin CS, Taufek NH, Ahmad MM
    Front Pharmacol, 2019;10:1286.
    PMID: 31736760 DOI: 10.3389/fphar.2019.01286
    Limited data are available on the adherence to opioid therapy and the influence of different patient groups on adherence. This study examined the patterns of adherence in opioid naïve and opioid existing patients with varying age and gender. This retrospective cohort study was conducted using the prescription databases in tertiary hospital settings in Malaysia from 2010 to 2016. Adult patients aged ≥18 years, receiving at least two opioid prescriptions, were included and stratified into the opioid naïve and existing patient groups. Adherence to opioid therapy was measured using the proportion of days covered (PDC), which was derived by dividing the total number of days covered with any opioids by the number of days in the follow-up period. Generalized linear modeling was used to assess factors associated with PDC. A total of 10,569 patients with 36,650 prescription episodes were included in the study. Of these, 91.7% (n = 9,696) were opioid naïve patients and 8.3% (n = 873) were opioid existing patients. The median PDC was 35.5% (interquartile range (IQR) 10.3-78.7%) and 26.8% (IQR 8.8-69.5%) for opioid naïve and opioid existing patients, respectively. A higher opioid daily dose (coefficient 0.010, confidence interval (CI) 0.009, 0.012 p < 0.0001) and increasing age (coefficient 0.002, CI 0.001, 0.003 p < 0.0001) were associated with higher levels of PDC, while lower PDC values were associated with male subjects (coefficient -0.0041, CI -0.072, -0.010 p = 0.009) and existing opioid patients (coefficient -0.134, CI -0.191, -0.077 p < 0.0001). The suboptimal adherence to opioid medications was commonly observed among patients with non-cancer pain, and the opioid existing patients were less adherent compared to opioid naïve patients. Increasing age and a higher daily opioid dose were factors associated with higher levels of adherence, while male and opioid existing patients were potential determinants for lower levels of adherence to opioid medications.
    Matched MeSH terms: Databases, Factual
  10. Stefaniak JD, Lam TCH, Sim NE, Al-Shahi Salman R, Breen DP
    Eur J Neurol, 2017 08;24(8):1071-1076.
    PMID: 28636179 DOI: 10.1111/ene.13336
    BACKGROUND AND PURPOSE: Trial discontinuation and non-publication represent major sources of research waste in clinical medicine. No previous studies have investigated non-dissemination bias in clinical trials of neurodegenerative diseases.

    METHODS: ClinicalTrials.gov was searched for all randomized, interventional, phase II-IV trials that were registered between 1 January 2000 and 31 December 2009 and included adults with Alzheimer's disease, motor neurone disease, multiple sclerosis or Parkinson's disease. Publications from these trials were identified by extensive online searching and contact with authors, and multiple logistic regression analysis was performed to identify characteristics associated with trial discontinuation and non-publication.

    RESULTS: In all, 362 eligible trials were identified, of which 12% (42/362) were discontinued. 28% (91/320) of completed trials remained unpublished after 5 years. Trial discontinuation was independently associated with number of patients (P = 0.015; more likely in trials with ≤100 patients; odds ratio 2.65, 95% confidence interval 1.21-5.78) and phase of trial (P = 0.009; more likely in phase IV than phase III trials; odds ratio 3.90, 95% confidence interval 1.41-10.83). Trial non-publication was independently associated with blinding status (P = 0.005; more likely in single-blind than double-blind trials; odds ratio 5.63, 95% confidence interval 1.70-18.71), number of centres (P = 0.010; more likely in single-centre than multi-centre trials; odds ratio 2.49, 95% confidence interval 1.25-4.99), phase of trial (P = 0.041; more likely in phase II than phase IV trials; odds ratio 2.88, 95% confidence interval 1.04-7.93) and sponsor category (P = 0.001; more likely in industry-sponsored than university-sponsored trials; odds ratio 5.05, 95% confidence interval 1.87-13.63).

    CONCLUSIONS: There is evidence of non-dissemination bias in randomized trials of interventions for neurodegenerative diseases. Associations with trial discontinuation and non-publication were similar to findings in other diseases. These biases may distort the therapeutic information available to inform clinical practice.

    Matched MeSH terms: Databases, Factual
  11. Yusoff N, Alias M, Ismail N
    F1000Res, 2023;12:1286.
    PMID: 38196406 DOI: 10.12688/f1000research.140765.1
    Background: Green purchasing is an important aspect of sustainable consumption, which decreases society's environmental effect. Although numerous research has been conducted to investigate the determinants of green buying behaviour, there has been a lack of effort in comprehensively analysing these findings. The purpose of this study is to examine the available literature on the factors that influence green purchasing behaviour. Methods: The review focused on empirical research published in peer-reviewed English-language publications between 2017 and 2021 in Web of Science and Scopus. The research took place from May to June 2021. Mixed Methods Appraisal Tool (MMAT) is used to assess the risk of bias in systematic literature reviews. Results: 41 articles were included, with significant focus on the retailing sector. Most of these studies were centred in Asian countries, primarily China and India. The Theory of Planned Behaviour was the most prominent, appearing 15 times, followed by the Theory of Reasoned Action (seven times). Analysis identified five main themes and 15 sub-themes related to green purchase behaviour drivers. These themes were categorized by occurrence: People (34 papers), marketing (13), knowledge (12), environment (12), and influence (nine). The dominant driver was people (34 studies), encompassing sub-themes including motivation (three), perception (eight), behavioural (13), and psychographic characteristics (10). Conclusions: This study has given an overview of the present status of green purchasing behaviour, which serves as a foundation for future studies and guidance for policymakers and practitioners. However, it does not include unpublished materials and non-English papers. Secondly, it focuses on articles from two databases within the last five years which doesn't encompass all article types, prompting the need for future exploration. Thirdly, extending the review's time frame could unveil more pronounced GPB patterns. Lastly, although all eligible papers were assessed based on criteria, the chance of overlooking some papers is acknowledged.
    Matched MeSH terms: Databases, Factual
  12. 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
  13. Sii CKS, Lee JA, Nah SA
    Pediatr Surg Int, 2020 Dec;36(12):1407-1411.
    PMID: 33068142 DOI: 10.1007/s00383-020-04760-7
    PURPOSE: The COVID-19 pandemic has placed extraordinary demands on healthcare services worldwide. Some have reported increased viral transmission to healthcare workers during aerosol-generating procedures such as intubation. We report our experience with universal preoperative and preprocedural screening for COVID-19 in children requiring general anaesthesia with low risk of having the infection.

    METHODS: This was a data review involving children aged 

    Matched MeSH terms: Databases, Factual
  14. Habibi N, Samian MR, Hashim SZ, Norouzi A
    Protein Expr Purif, 2014 Mar;95:92-5.
    PMID: 24333540 DOI: 10.1016/j.pep.2013.11.014
    Recombinant protein production is a significant biotechnological process as it allows researchers to produce a specific protein in desired quantities. Escherichia coli (E. coli) is the most popular heterologous expression host for the production of recombinant proteins due to its advantages such as low cost, high-productivity, well-characterized genetics, simple growth requirements and rapid growth. There are a number of factors that influence the expression level of a recombinant protein in E. coli which are the gene to be expressed, the expression vector, the expression host, and the culture condition. The major motivation to develop our database, EcoliOverExpressionDB, is to provide a means for researchers to quickly locate key factors in the overexpression of certain proteins. Such information would be a useful guide for the overexpression of similar proteins in E. coli. To the best of the present researchers' knowledge, in general and specifically in E. coli, EcoliOverExpressionDB is the first database of recombinant protein expression experiments which gathers the influential parameters on protein overexpression and the results in one place.
    Matched MeSH terms: Databases, Factual*
  15. Yenyuwadee S, Achavanuntakul P, Phisalprapa P, Levin M, Saokaew S, Kanchanasurakit S, et al.
    Acta Derm Venereol, 2024 Jan 08;104:adv18477.
    PMID: 38189223 DOI: 10.2340/actadv.v104.18477
    Utilization of lasers and energy-based devices for surgical scar minimization has been substantially evaluated in placebo-controlled trials. The aim of this study was to compare reported measures of efficacy of lasers and energy-based devices in clinical trials in preventing surgical scar formation in a systematic review and network meta-analyses. Five electronic databases, PubMed, Scopus, Embase, ClinicalTrials.gov, and the Cochrane Library, were searched to retrieve relevant articles. The search was limited to randomized controlled trials that reported on clinical outcomes of surgical scars with treatment initiation no later than 6 months after surgery and a follow-up period of at least 3 months. A total of 18 randomized controlled trials involving 482 participants and 671 postsurgical wounds were included in the network meta-analyses. The results showed that the most efficacious treatments were achieved using low-level laser therapy) (weighted mean difference -3.78; 95% confidence interval (95% CI) -6.32, -1.24) and pulsed dye laser (weighted mean difference -2.46; 95% CI -4.53, -0.38). Nevertheless, low-level laser therapy and pulsed dye laser demonstrated comparable outcomes in surgical scar minimization (weighted mean difference -1.32, 95% CI -3.53, 0.89). The findings of this network meta-analyses suggest that low-level laser therapy and pulsed dye laser are both effective treatments for minimization of scar formation following primary closure of surgical wounds with comparable treatment outcomes.
    Matched MeSH terms: Databases, Factual
  16. Liu X, Soh KG, Omar Dev RD
    BMC Public Health, 2023 Jul 11;23(1):1332.
    PMID: 37434149 DOI: 10.1186/s12889-023-16221-6
    BACKGROUND: Latin dance is a well-liked physical activity. It has gained increasing attention as an exercise intervention for improving physical and mental health outcomes. This systematic review examines the effects of Latin dance on physical and mental health.

    METHODS: Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) were used to report the data for this review. To gather research from the literature, we used recognized academic and scientific databases such SportsDiscus with Full Text, PsycINFO, Cochrane, Scopus, PubMed, and Web of Science. The systematic review only included 22 studies out of the 1,463 that matched all inclusion criteria. The PEDro scale was used to rate each study's quality. 22 research received scores between 3 and 7.

    RESULTS: Latin dance has been demonstrated to promote physical health by helping people lose weight, improve cardiovascular health, increase muscle strength and tone, and improve flexibility and balance. Furthermore, Latin dance can benefit mental health by reducing stress, improving mood, social connection, and cognitive function.

    CONCLUSIONS: Finding from this systematic review provide substantial evidence that Latin dance has effect on physical and mental health. Latin dance has the potential to be a powerful and pleasurable public health intervention.

    SYSTEMATIC REVIEW REGISTRATION: CRD42023387851, https://www.crd.york.ac.uk/prospero .

    Matched MeSH terms: Databases, Factual
  17. Davies C, Johnson L, Sawry S, Chimbetete C, Eley B, Vinikoor M, et al.
    AIDS, 2022 Apr 01;36(5):729-737.
    PMID: 35152225 DOI: 10.1097/QAD.0000000000003194
    OBJECTIVE: To evaluate the characteristics and outcomes of HIV-infected children that have care interruptions, during which the child's health status and use of medication is unknown.

    DESIGN: We included data on children initiating ART between 2004 and 2016 at less than 16 years old at 16 International Epidemiologic Databases to Evaluate AIDS Southern Africa cohorts. Children were classified as loss to follow up (LTFU) if they had not attended clinic for more than 180 days. Children had a care interruption if they were classified as LTFU, and subsequently returned to care. Children who died within 180 days of ART start were excluded.

    METHODS: The main outcome was all cause mortality. Two exposed groups were considered: those with a first care interruption within the first 6 months on ART, and those with a first care interruption after 6 months on ART. Adjusted hazard ratios were determined using a Cox regression model.

    RESULTS: Among 53 674 children included, 23 437 (44%) had a care interruption, of which 10 629 (20%) had a first care interruption within 6 months on ART and 12 808 (24%) had a first care interruption after 6 months on ART. Increased mortality was associated with a care interruption within 6 months on ART [adjusted hazard ratio (AHR) = 1.52, 95% CI 1.12-2.04] but not with a care interruption after 6 months on ART (AHR = 1.05, 95% CI 0.77-1.44).

    CONCLUSION: The findings suggest that strengthening retention of children in care in the early period after ART initiation is critical to improving paediatric ART outcomes.

    Matched MeSH terms: Databases, Factual
  18. Zhang YY, Vimala R, Chui PL, Hilmi IN
    Surg Endosc, 2023 Apr;37(4):2633-2643.
    PMID: 36369410 DOI: 10.1007/s00464-022-09724-7
    BACKGROUND: Pain is a contributing factor to the low compliance rate for performing a colonoscopy on screening for colorectal cancer.

    PURPOSE: This meta-analysis aimed to evaluate the effect of visual distraction on adults undergoing colonoscopy.

    METHODS: We searched PubMed, EMBASE, Web of Science, and Cochrane Library Database from their inception to February 2022. Randomized controlled trials comparing visual distraction with non-visual distraction were considered for inclusion. The fixed-effects and random-effects models were used to pool the data from individual studies and the Cochrane risk of bias assessment tool was used to determine the methodology quality.

    RESULTS: This meta-analysis included four studies (N = 301) for pain level and total procedure time, three studies (N = 181) for satisfaction score, three studies (N = 196) for anxiety level, and four studie (N = 402) for willingness to repeat the procedure. The pooled analysis shown that significantly lower pain levels (SMD, - 0.25; 95% CI - 0.47 to - 0.02; P = 0.03), higher satisfaction score with the procedure (SMD, 0.63; 95% CI, 0.33 to 0.93; P 

    Matched MeSH terms: Databases, Factual
  19. Bukhsh A, Tan XY, Chan KG, Lee LH, Goh BH, Khan TM
    Patient Prefer Adherence, 2018;12:2457-2474.
    PMID: 30538430 DOI: 10.2147/PPA.S180256
    Background: Effectiveness of pharmacist-led educational interventions on self-care activities and glycemic control of type 2 diabetes mellitus (T2DM) patients is vague. The purpose of this review is to appraise the effect of pharmacist-led educational interventions on self-care activities and levels of glycated hemoglobin of T2DM patients.

    Methods: Five electronic databases were searched from date of database inception to September 2017. Randomized clinical trials examining the effectiveness of pharmacist-led educational interventions, directed at T2DM patients only, were included for systematic review and meta-analysis. The protocol is available with PROSPERO (CRD42017078854).

    Results: Eleven studies, involving n=1,544 T2DM patients, were included in this systematic review. Meta-analysis demonstrated that pharmacist-led interventions had a significant effect on lowering of the levels of glycated hemoglobin (-0.66; 95% CI [-0.83, -0.50]; I2=58.3%; P=0.008), in comparison to usual care. Self-care activities were assessed by using Summary of Diabetes Self-care Activities tool in eight studies. Overall meta-analysis of self-care activities for included studies demonstrated a significant effect of pharmacist-led interventions on improvement of self-monitoring of blood glucose (1.62; 95% CI [0.92, 2.32]; I2=70.5%; P=0.005), foot care (1.20; 95% CI [0.49, 1.90]; I2=95.0%; P<0.001), and overall diet (1.16; 95% CI [0.38, 1.93]; I2=64.2%; P=0.094).

    Conclusion: The findings of this review demonstrate a significantly positive effect of pharmacist-led educational interventions on HbA1c levels and self-care practices among T2DM patients.
    Matched MeSH terms: Databases, Factual
  20. Nagendrababu V, Pulikkotil SJ, Sultan OS, Jayaraman J, Soh JA, Dummer PMH
    Int Endod J, 2019 Feb;52(2):181-192.
    PMID: 30099740 DOI: 10.1111/iej.12995
    The aim of the present systematic review was to evaluate the effectiveness of technology-enhanced learning (TEL) in the field of Endodontics to improve educational outcomes compared to traditional learning methods. Randomized controlled studies published in English were identified from two electronic databases (PubMed and Scopus) up to May 2018. Two authors independently performed study selection, data extraction and assessed the risk of bias (ROB). Any teaching method using TEL was considered as the intervention, and this was compared to traditional methods. The outcome measuring the effectiveness of learning activities was evaluated by Kirkpatrick's four-level training evaluation model. The four levels of training outcomes are as follows: Reaction, Learning, Behaviour and Results. A meta-analysis was performed to estimate the standardized mean difference (SMD) by the random effects model. In total, 13 studies were included in the systematic review. Only three studies were assessed as 'low' ROB. A meta-analysis could not be performed in the domains of Reaction and Behaviour. No significant difference was observed in knowledge gain (Learning domain) between TEL and traditional methods (SMD, 0.14 (95% CI -0.10 to 0.39) I2  = 62.7%). Similarly, no difference was observed in performance (Behaviour domain). A variable response was found in attitude (Reaction domain). From the available evidence, it can be concluded that TEL is equally as effective as traditional learning methods.
    Matched MeSH terms: Databases, Factual
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