Displaying publications 61 - 80 of 313 in total

Abstract:
Sort:
  1. Marzo RR, Khanal P, Shrestha S, Mohan D, Myint PK, Su TT
    Front Public Health, 2023;11:1193789.
    PMID: 37435519 DOI: 10.3389/fpubh.2023.1193789
    INTRODUCTION: Population demography across the globe shows an increasing trend in the aging population due to better healthcare, improved nutrition, advanced health-related technology, and decreased fertility rate. Despite these advancements, there remains a knowledge gap in understanding the association between active aging determinants and quality of life (QoL) among older adults, particularly within diverse cultural contexts, which has not been adequately explored in previous research. Therefore, understanding the association between active aging determinants and QoL can help policymakers plan early interventions or programs to assist future older adults in both aging actively and optimizing their quality of life (QoL), as these two factors have a bidirectional relationship.

    OBJECTIVE: This study aimed to review evidence regarding the association between active aging and quality of life (QoL) among older adults and to determine the most widely used study designs and measurement instruments in studies conducted between 2000 and 2020.

    METHODS: Relevant studies were identified by a systematic search of four electronic databases and cross-reference lists. Original studies examining the association between active aging and QoL in individuals aged 60 years or older were considered. The quality of the included studies and the direction and consistency of the association between active aging and QoL were assessed.

    RESULTS: A total of 26 studies met the inclusion criteria and were included in this systematic review. Most studies reported a positive association between active aging and QoL among older adults. Active aging had a consistent association with various QoL domains including physical environment, health and social services, social environment, economic, personal, and behavioral determinants.

    CONCLUSION: Active aging had a positive and consistent association with several QoL domains among older adults, backing the notion that the better the active aging determinants, the better the QoL among older adults. Considering the broader literature, it is necessary to facilitate and encourage the active participation of older adults in physical, social, and economic activities for the maintenance and/or improvement of QoL. Identifying other possible determinants and enhancing the methods to improve those determinants may help improve the QoL among older adults.

    Matched MeSH terms: Databases, Factual
  2. Velaithan V, Tan MM, Yu TF, Liem A, Teh PL, Su TT
    Gerontologist, 2024 Apr 01;64(4).
    PMID: 37029753 DOI: 10.1093/geront/gnad041
    BACKGROUND AND OBJECTIVES: Self-perception of aging is an important psychosocial factor that can influence quality of life in older age. This review aimed to synthesize findings on the association between self-perception of aging and quality of life among older adults aged 60 and above.

    RESEARCH DESIGN AND METHODS: A systematic search was conducted in 4 electronic databases (Ovid Medline, PsycInfo, CINAHL, and Web of Science). Studies conducted in English and including measures on the perception of aging and quality of life were included in this review. A total of 32 observational studies (21 cross-sectional, 8 longitudinal, 2 mixed-method, and 1 qualitative) met the inclusion criteria. Outcomes reported in the included studies were quality of life, physical health and functioning, psychological health, mental health, and general well-being.

    RESULTS: Overall, 20 quantitative studies indicated a strong association between positive perception of aging and increased quality of life. Similarly, 9 quantitative studies demonstrated that negative perception of aging is associated with lower quality of life. Results of the mixed-method and qualitative studies indicated that older adults with higher morale and good physical capability had more positive perceptions of health.

    DISCUSSION AND IMPLICATIONS: These results suggest that promoting a positive perception of aging and a self-care attitude would help to enhance older adults' quality of life and should be incorporated into future health promotions and interventions.

    Matched MeSH terms: Databases, Factual
  3. Lee ZY, Dresen E, Lew CCH, Bels J, Hill A, Hasan MS, et al.
    Crit Care, 2024 Jan 06;28(1):15.
    PMID: 38184658 DOI: 10.1186/s13054-023-04783-1
    BACKGROUND: A recent large multicentre trial found no difference in clinical outcomes but identified a possibility of increased mortality rates in patients with acute kidney injury (AKI) receiving higher protein. These alarming findings highlighted the urgent need to conduct an updated systematic review and meta-analysis to inform clinical practice.

    METHODS: From personal files, citation searching, and three databases searched up to 29-5-2023, we included randomized controlled trials (RCTs) of adult critically ill patients that compared higher vs lower protein delivery with similar energy delivery between groups and reported clinical and/or patient-centred outcomes. We conducted random-effect meta-analyses and subsequently trial sequential analyses (TSA) to control for type-1 and type-2 errors. The main subgroup analysis investigated studies with and without combined early physical rehabilitation intervention. A subgroup analysis of AKI vs no/not known AKI was also conducted.

    RESULTS: Twenty-three RCTs (n = 3303) with protein delivery of 1.49 ± 0.48 vs 0.92 ± 0.30 g/kg/d were included. Higher protein delivery was not associated with overall mortality (risk ratio [RR]: 0.99, 95% confidence interval [CI] 0.88-1.11; I2 = 0%; 21 studies; low certainty) and other clinical outcomes. In 2 small studies, higher protein combined with early physical rehabilitation showed a trend towards improved self-reported quality-of-life physical function measurements at day-90 (standardized mean difference 0.40, 95% CI - 0.04 to 0.84; I2 = 30%). In the AKI subgroup, higher protein delivery significantly increased mortality (RR 1.42, 95% CI 1.11-1.82; I2 = 0%; 3 studies; confirmed by TSA with high certainty, and the number needed to harm is 7). Higher protein delivery also significantly increased serum urea (mean difference 2.31 mmol/L, 95% CI 1.64-2.97; I2 = 0%; 7 studies).

    CONCLUSION: Higher, compared with lower protein delivery, does not appear to affect clinical outcomes in general critically ill patients but may increase mortality rates in patients with AKI. Further investigation of the combined early physical rehabilitation intervention in non-AKI patients is warranted.

    PROSPERO ID: CRD42023441059.

    Matched MeSH terms: Databases, Factual
  4. Lundström M, Goh PP, Henry Y, Salowi MA, Barry P, Manning S, et al.
    Ophthalmology, 2015 Jan;122(1):31-8.
    PMID: 25234011 DOI: 10.1016/j.ophtha.2014.07.047
    PURPOSE: The aim of this study was to describe changes over time in the indications and outcomes of cataract surgery and to discuss optimal timing for the surgery.
    DESIGN: Database study.
    PARTICIPANTS: Patients who had undergone cataract extraction in the Netherlands, Sweden, or Malaysia from 2008 through 2012.
    METHODS: We analyzed preoperative, surgical, and postoperative data from 2 databases: the European Registry of Quality Outcomes for Cataract and Refractive Surgery (EUREQUO) and the Malaysian National Cataract Registry. The EUREQUO contains complete data from the national cataract registries in the Netherlands and Sweden.
    MAIN OUTCOME MEASURES: Preoperative and postoperative corrected distance visual acuity, preoperative ocular comorbidity in the surgery eye, and capsule complications during surgery.
    RESULTS: There were substantial differences in indication for surgery between the 3 national data sets. The percentage of eyes with a preoperative best-corrected visual acuity of 20/200 or worse varied from 7.1% to 72%. In all 3 data sets, the visual thresholds for cataract surgery decreased over time by 6% to 28% of the baseline values. The frequency of capsule complications varied between the 3 data sets, from 1.1% to 3.7% in 2008 and from 0.6% to 2.7% in 2012. An increasing postoperative visual acuity was also seen for all 3 data sets. A high frequency of capsule complication was related significantly to poor preoperative visual acuity, and a high frequency of decreased visual acuity after surgery was related significantly to excellent preoperative visual acuity.
    CONCLUSIONS: The 5-year trend in all 3 national data sets showed decreasing visual thresholds for surgery, decreasing surgical complication rates, and increasing visual outcomes regardless of the initial preoperative visual level. Cataract surgery on eyes with poor preoperative visual acuity was related to surgical complications, and cataract surgery on eyes with excellent preoperative visual acuity was related to adverse visual results.
    Matched MeSH terms: Databases, Factual
  5. Mustafa MB, Salim SS, Mohamed N, Al-Qatab B, Siong CE
    PLoS One, 2014;9(1):e86285.
    PMID: 24466004 DOI: 10.1371/journal.pone.0086285
    Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping individuals with speech impairment in their communication ability. One challenge in ASR for speech-impaired individuals is the difficulty in obtaining a good speech database of impaired speakers for building an effective speech acoustic model. Because there are very few existing databases of impaired speech, which are also limited in size, the obvious solution to build a speech acoustic model of impaired speech is by employing adaptation techniques. However, issues that have not been addressed in existing studies in the area of adaptation for speech impairment are as follows: (1) identifying the most effective adaptation technique for impaired speech; and (2) the use of suitable source models to build an effective impaired-speech acoustic model. This research investigates the above-mentioned two issues on dysarthria, a type of speech impairment affecting millions of people. We applied both unimpaired and impaired speech as the source model with well-known adaptation techniques like the maximum likelihood linear regression (MLLR) and the constrained-MLLR(C-MLLR). The recognition accuracy of each impaired speech acoustic model is measured in terms of word error rate (WER), with further assessments, including phoneme insertion, substitution and deletion rates. Unimpaired speech when combined with limited high-quality speech-impaired data improves performance of ASR systems in recognising severely impaired dysarthric speech. The C-MLLR adaptation technique was also found to be better than MLLR in recognising mildly and moderately impaired speech based on the statistical analysis of the WER. It was found that phoneme substitution was the biggest contributing factor in WER in dysarthric speech for all levels of severity. The results show that the speech acoustic models derived from suitable adaptation techniques improve the performance of ASR systems in recognising impaired speech with limited adaptation data.
    Matched MeSH terms: Databases, Factual
  6. Hariharan M, Polat K, Sindhu R
    Comput Methods Programs Biomed, 2014 Mar;113(3):904-13.
    PMID: 24485390 DOI: 10.1016/j.cmpb.2014.01.004
    Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in walking, talking or completing other simple tasks. Variety of medications is available to treat PD. Recently, researchers have found that voice signals recorded from the PWP is becoming a useful tool to differentiate them from healthy controls. Several dysphonia features, feature reduction/selection techniques and classification algorithms were proposed by researchers in the literature to detect PD. In this paper, hybrid intelligent system is proposed which includes feature pre-processing using Model-based clustering (Gaussian mixture model), feature reduction/selection using principal component analysis (PCA), linear discriminant analysis (LDA), sequential forward selection (SFS) and sequential backward selection (SBS), and classification using three supervised classifiers such as least-square support vector machine (LS-SVM), probabilistic neural network (PNN) and general regression neural network (GRNN). PD dataset was used from University of California-Irvine (UCI) machine learning database. The strength of the proposed method has been evaluated through several performance measures. The experimental results show that the combination of feature pre-processing, feature reduction/selection methods and classification gives a maximum classification accuracy of 100% for the Parkinson's dataset.
    Matched MeSH terms: Databases, Factual
  7. Chin SP, Jeyaindran S, Azhari R, Wan Azman WA, Omar I, Robaayah Z, et al.
    Med J Malaysia, 2008 Sep;63 Suppl C:29-36.
    PMID: 19230244
    Coronary artery disease is one of the most rampant non-communicable diseases in the world. It begins indolently as a fatty streak in the lining of the artery that soon progresses to narrow the coronary arteries and impair myocardial perfusion. Often the atherosclerotic plaque ruptures and causes sudden thrombotic occlusion and acute ST-elevation myocardial infarction (STEMI), non-ST-elevation MI (NSTEMI) or unstable angina (UA). This phenomenon is called acute coronary syndrome (ACS) and is the leading cause of death not only in Malaysia but also globally. In order for us to tackle this threat to the health of our nation we must arm ourselves with reliable and accurate information to assess current burden of disease resources available and success of current strategies. The acute coronary syndrome (ACS) registry is the flagship of the National Cardiovascular Disease Database (NCVD) and is the result of the dedicated and untiring efforts of doctors and nurses in both public and private medical institutions and hospitals around the country, ably guided and supported by the National Heart Association, the National Heart Foundation, the Clinical Research Centre and the Ministry of Health of Malaysia. Analyses of data collected throughout 2006 from 3422 patients with ACS admitted to the 12 tertiary cardiac centres and general hospitals spanning nine states in Malaysia in this first report has already revealed surprising results. Mean age of patients was 59 years while the most consistent risk factor for STEMI was active smoking. Utilization of medications was high generally. Thirty-day mortality for STEMI was 11%, for NSTEMI 8% and UA 4%. Thrombolysis (for STEMI only) reduced in-hospital and 30-day mortality by nearly 50%. Percutaneous coronary intervention or PCI also reduced 30-day mortality for patients with non-ST elevation MI and unstable angina. The strongest determinants of mortality appears to be Killip Class and age of the patient. Fewer women received thrombolysis or underwent PCI on same admission although women make up 25% of the cohort.
    Matched MeSH terms: Databases, Factual
  8. Zuhdi AS, Mariapun J, Mohd Hairi NN, Wan Ahmad WA, Abidin IZ, Undok AW, et al.
    Ann Saudi Med, 2014 1 15;33(6):572-8.
    PMID: 24413861 DOI: 10.5144/0256-4947.2013.572
    BACKGROUND AND OBJECTIVES: Understanding the nature and pattern of young coronary artery disease (CAD) is important due to the tremendous impact on these patients' socio-economic and physical aspect. Data on young CAD in the southeast Asian region is rather patchy and limited. Hence we utilized our National Cardiovascular Disease Database (NCVD)-Percutaneous Coronary Intervention (PCI) Registry to analyze young patients who underwent PCI in the year 2007 to 2009.

    DESIGN AND SETTINGS: This is a retrospective study of all patients who had undergone coronary angioplasty from 2007 to 2009 in 11 hospitals across Malaysia.

    METHODS: Data were obtained from the NCVD-PCI Registry, 2007 to 2009. Patients were categorized into 2 groups-young and old, where young was defined as less than 45 years for men and less than 55 years for women and old was defined as more than or equals to 45 years for men and more than or equals to 55 years for women. Patients' baseline characteristics, risk factor profile, extent of coronary disease and outcome on dis.charge, and 30-day and 1-year follow-up were compared between the 2 groups.

    RESULTS: We analyzed 10268 patients, and the prevalence of young CAD was 16% (1595 patients). There was a significantly low prevalence of Chinese patients compared to other major ethnic groups. Active smoking (30.2% vs 17.7%) and obesity (20.9% vs 17.3%) were the 2 risk factors more associated with young CAD. There is a preponderance toward single vessel disease in the young CAD group, and they had a favorable clinical outcome in terms of all-cause mortality at discharge (RR 0.49 [CI 0.26-0.94]) and 1-year follow-up (RR 0.47 [CI 0.19-1.15]).

    CONCLUSION: We observed distinctive features of young CAD that would serve as a framework in the primary and secondary prevention of the early onset CAD.

    Matched MeSH terms: Databases, Factual
  9. Lee KKS, Silim UA
    Int J Health Care Qual Assur, 2019 Dec 16;ahead-of-print(ahead-of-print).
    PMID: 31886638 DOI: 10.1108/IJHCQA-08-2018-0199
    PURPOSE: The purpose of this paper is to review the findings from an audit of the implementation of a consultation-liaison psychiatry (CLiP) database in all inpatients referred to a CLiP service at the largest hospital in Malaysia with the aim of improving the quality CLiP services.

    DESIGN/METHODOLOGY/APPROACH: All inpatient referrals to the CLiP team were recorded over a three-month period and compared to previous audit data from 2017. Four audit standards were assessed: the reporting of referrals, timeliness of response indication of reason for referral and presence of a management plan.

    FINDINGS: The compliance of reporting using the CLiP form was 70.1 per cent compared to 28 per cent in the audit data from 2017 after interventions were conducted. Analysis of the completed CLiP form reveals that 89 per cent of referrals were seen within the same working day. All referrals included the reason for referral. The most common reason for referral was for depressive disorders, but post-assessment, delirium was the most common diagnosis. In total, 87.8 per cent satisfied the audit criteria for a completed written care plan.

    ORIGINALITY/VALUE: Specialised CLiP services are relatively new in Malaysia and this is the first paper to examine the quality of such services in the country. Interventions were effective in improving the compliance of reporting using the CLiP database. The findings suggest that the CLiP services are on par with international audit standards. Furthermore, data from this clinical audit can serve as a benchmark for the development of national operating policies in similar settings.

    Matched MeSH terms: Databases, Factual
  10. Hussin AM, Ashor AW, Schoenmakers I, Hill T, Mathers JC, Siervo M
    Eur J Nutr, 2017 Apr;56(3):1095-1104.
    PMID: 26848580 DOI: 10.1007/s00394-016-1159-3
    BACKGROUND: In addition to regulating calcium homoeostasis and bone health, vitamin D influences vascular and metabolic processes including endothelial function (EF) and insulin signalling. This systematic review and meta-analysis of randomised clinical trials (RCTs) were conducted to investigate the effect of vitamin D supplementation on EF and to examine whether the effect size was modified by health status, study duration, dose, route of vitamin D administration, vitamin D status (baseline and post-intervention), body mass index (BMI), age and type of vitamin D.

    METHODS: We searched the Medline, Embase, Cochrane Library and Scopus databases from inception until March 2015 for studies meeting the following criteria: (1) RCT with adult participants, (2) vitamin D administration alone, (3) studies that quantified EF using commonly applied methods including ultrasound, plethysmography, applanation tonometry and laser Doppler.

    RESULTS: Sixteen articles reporting data for 1177 participants were included. Study duration ranged from 4 to 52 weeks. The effect of vitamin D on EF was not significant (SMD: 0.08, 95 % CI -0.06, 0.22, p = 0.28). Subgroup analysis showed a significant improvement of EF in diabetic subjects (SMD: 0.31, 95 % CI 0.05, 0.57, p = 0.02). A non-significant trend was found for diastolic blood pressure (β = 0.02; p = 0.07) and BMI (β = 0.05; p = 0.06).

    CONCLUSIONS: Vitamin D supplementation did not improve EF. The significant effect of vitamin D in diabetics and a tendency for an association with BMI may indicate a role of excess adiposity and insulin resistance in modulating the effects of vitamin D on vascular function. This remains to be tested in future studies.

    Matched MeSH terms: Databases, Factual
  11. Mendel B, Christianto, Setiawan M, Prakoso R, Siagian SN
    Curr Cardiol Rev, 2021 Jun 03.
    PMID: 34082685 DOI: 10.2174/1573403X17666210603113430
    BACKGROUND: Junctional ectopic tachycardia (JET) is an arrhythmia originating from the AV junction, which may occur following congenital heart surgery, especially when the intervention is near the atrioventricular junction.

    OBJECTIVE: The aim of this systematic review and meta-analysis is to compare the effectiveness of amiodarone, dexmedetomidine and magnesium in preventing JET following congenital heart surgery.

    METHODS: This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement, where 11 electronic databases were searched from date of inception to August 2020. The incidence of JET was calculated with the relative risk of 95% confidence interval (CI). Quality assessment of the included studies was assessed using the Consolidated Standards of Reporting Trials (CONSORT) 2010 statement.

    RESULTS: Eleven studies met the predetermined inclusion criteria and were included in this meta-analysis. Amiodarone, dexmedetomidine and magnesium significantly reduced the incidence of postoperative JET [Amiodarone: risk ratio 0.34; I2= 0%; Z=3.66 (P=0.0002); 95% CI 0.19-0.60. Dexmedetomidine: risk ratio 0.34; I2= 0%; Z=4.77 (P<0.00001); 95% CI 0.21-0.52. Magnesium: risk ratio 0.50; I2= 24%; Z=5.08 (P<0.00001); 95% CI 0.39-0.66].

    CONCLUSION: All three drugs show promise in reducing the incidence of JET. Our systematic review found that dexmedetomidine is better in reducing the length of ICU stays as well as mortality. In addition, dexmedetomidine also has the least pronounced side effects among the three. However, it should be noted that this conclusion was derived from studies with small sample sizes. Therefore, dexmedetomidine may be considered as the drug of choice for preventing JET.

    Matched MeSH terms: Databases, Factual
  12. Mas Rina Mustaffa, Fatimah Ahmad, Ramlan Mahmod, Shyamala Doraisamy
    MyJurnal
    Multi-feature methods are able to contribute to a more effective method compared to single-feature
    methods since feature fusion methods will be able to close the gap that exists in the single-feature
    methods. This paper presents a feature fusion method, which focuses on extracting colour and shape features for content-based image retrieval (CBIR). The colour feature is extracted based on the proposed Multi-resolution Joint Auto Correlograms (MJAC), while the shape information is obtained through the proposed Extended Generalised Ridgelet-Fourier (EGRF). These features are fused together through a proposed integrated scheme. The feature fusion method has been tested on the SIMPLIcity image database, where several retrieval measurements are utilised to compare the effectiveness of the proposed method with few other comparable methods. The retrieval results show that the proposed Integrated Colour-shape (ICS) descriptor has successfully obtained the best overall retrieval performance in all the retrieval measurements as compared to the benchmark methods, which include precision (53.50%), precision at 11 standard recall levels (52.48%), and rank (17.40).
    Matched MeSH terms: Databases, Factual
  13. Hwang WH, Shen TJ
    Biometrics, 2010 Dec;66(4):1052-60.
    PMID: 20002401 DOI: 10.1111/j.1541-0420.2009.01371.x
    Many well-known methods are available for estimating the number of species in a forest community. However, most existing methods result in considerable negative bias in applications, where field surveys typically represent only a small fraction of sampled communities. This article develops a new method based on sampling with replacement to estimate species richness via the generalized jackknife procedure. The proposed estimator yields small bias and reasonably accurate interval estimation even with small samples. The performance of the proposed estimator is compared with several typical estimators via simulation study using two complete census datasets from Panama and Malaysia.
    Matched MeSH terms: Databases, Factual
  14. 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
  15. Dhami S, Nurmatov U, Arasi S, Khan T, Asaria M, Zaman H, et al.
    Allergy, 2017 Nov;72(11):1597-1631.
    PMID: 28493631 DOI: 10.1111/all.13201
    BACKGROUND: The European Academy of Allergy and Clinical Immunology (EAACI) is in the process of developing Guidelines on Allergen Immunotherapy (AIT) for Allergic Rhinoconjunctivitis. To inform the development of clinical recommendations, we undertook a systematic review to assess the effectiveness, cost-effectiveness, and safety of AIT in the management of allergic rhinoconjunctivitis.

    METHODS: We searched nine international biomedical databases for published, in-progress, and unpublished evidence. Studies were independently screened by two reviewers against predefined eligibility criteria and critically appraised using established instruments. Our primary outcomes of interest were symptom, medication, and combined symptom and medication scores. Secondary outcomes of interest included cost-effectiveness and safety. Data were descriptively summarized and then quantitatively synthesized using random-effects meta-analyses.

    RESULTS: We identified 5960 studies of which 160 studies satisfied our eligibility criteria. There was a substantial body of evidence demonstrating significant reductions in standardized mean differences (SMD) of symptom (SMD -0.53, 95% CI -0.63, -0.42), medication (SMD -0.37, 95% CI -0.49, -0.26), and combined symptom and medication (SMD -0.49, 95% CI -0.69, -0.30) scores while on treatment that were robust to prespecified sensitivity analyses. There was in comparison a more modest body of evidence on effectiveness post-discontinuation of AIT, suggesting a benefit in relation to symptom scores.

    CONCLUSIONS: AIT is effective in improving symptom, medication, and combined symptom and medication scores in patients with allergic rhinoconjunctivitis while on treatment, and there is some evidence suggesting that these benefits are maintained in relation to symptom scores after discontinuation of therapy.

    Matched MeSH terms: Databases, Factual
  16. Anuar A, Marwan NF, Smith J, Siriyanun S, Sharif A
    Environ Sci Pollut Res Int, 2022 Feb;29(9):13729-13741.
    PMID: 34599441 DOI: 10.1007/s11356-021-16470-1
    The aim of this paper is to examine immigration and environmental degradation using bibliometric analysis. This paper also analyzes sources of publication, authorship, citations, distributions publications and other bibliometric indicators. The study focuses on a total of 1372 articles published from 2000 to 2020. These articles were collected through an automated process from the Scopus database and later analyzed using techniques such as bibliometric indicators analysis, VOSviewer, and Perish or Publish. The research identified 991 articles from varieties of published sources. The topic of immigrants and environmental degradation has been an emerging topic since 1981. Starting in 2000, most of the scholars actively producing an articles pertinent to this topic. Most of the articles were published in journals, and English is the primary language of research. United States is the leading country in contributing the publications. Meanwhile, the most significant fields in which the sources were produced were environmental science, agricultural and biological sciences, arts and humanities and earth and planetary sciences. However, some limitations has been found. It has been suggested for future research, to lengthen this work to other databases, as well as bibliometric analyses of immigration and environmental degradation in developed and developing countries by adding a new keyword such as energy consumption and climate change. This paper aims to assess recent trends in the expansion of academic literature on immigration and environmental degradation using the bibliometric analysis method. Network visualization and bibliometric indicators are used in this paper to present the results.
    Matched MeSH terms: Databases, Factual
  17. Saikia A, Patil SS, Ms M, Cv D, Sabarish R, Pandian S, et al.
    Dent Traumatol, 2023 Aug;39(4):371-380.
    PMID: 36920339 DOI: 10.1111/edt.12838
    BACKGROUND/AIMS: Traumatic dental injuries (TDI) are considered a public health problem due to their high prevalence and associated physical, economic, psychological and social consequences. Hence, good Clinical Practice Guidelines are essential to achieving a favourable prognosis. The aim of this review was to appraise the existing Clinical Practice Guidelines (CPGs) on TDI using AGREE II and AGREE-REX.

    MATERIALS AND METHODS: A systematic search for existing guidelines on TDI was performed on PubMed, EMBASE, CINAHL, Cochrane Library, ProQuest, National Institute for Health Care Excellence, BMJ Best Practice, Trip database, Guideline International Network, Scottish Intercollegiate Guidelines Network, World Health Organisation, Web of Science and 'Ministry of Health worldwide' databases. Four appraisers independently appraised the included CPGs. The AGREE II tool was applied to assess the methodological quality, while AGREE REX assessed the quality of recommendations of the included guidelines.

    RESULTS: Of the 7736 titles screened, three guidelines, namely the International Association of Dental Traumatology Guidelines (IADT), and the Italian and Malaysian guidelines, were included for the final analysis. These guidelines were published between 2019 and 2020. The AGREE II analysis demonstrated scores above 80% for the IADT and Italian guidelines for the scope and purpose domain. Overall, the Malaysian guidelines achieved the highest score for all domains. The AGREE REX analysis indicated variability in implementation across the nine items, with five that scored above the midpoint of 4.0 on the response scale. Both the Italian and the IADT guidelines had a similar score for the values and preference domains (36.36%).

    CONCLUSIONS: Several deficiencies exist in the methodological quality of existing CPGs on TDI. Future guidelines should consider improvements for domains such as 'rigour of development', 'stakeholder involvement' and 'applicability' to overcome the existing limitations.

    Matched MeSH terms: Databases, Factual
  18. Zare MR, Mueen A, Seng WC
    J Digit Imaging, 2014 Feb;27(1):77-89.
    PMID: 24092327 DOI: 10.1007/s10278-013-9637-0
    The demand for automatically classification of medical X-ray images is rising faster than ever. In this paper, an approach is presented to gain high accuracy rate for those classes of medical database with high ratio of intraclass variability and interclass similarities. The classification framework was constructed via annotation using the following three techniques: annotation by binary classification, annotation by probabilistic latent semantic analysis, and annotation using top similar images. Next, final annotation was constructed by applying ranking similarity on annotated keywords made by each technique. The final annotation keywords were then divided into three levels according to the body region, specific bone structure in body region as well as imaging direction. Different weights were given to each level of the keywords; they are then used to calculate the weightage for each category of medical images based on their ground truth annotation. The weightage computed from the generated annotation of query image was compared with the weightage of each category of medical images, and then the query image would be assigned to the category with closest weightage to the query image. The average accuracy rate reported is 87.5 %.
    Matched MeSH terms: Databases, Factual/statistics & numerical data*
  19. Md Hamzah N, Yu MM, See KF
    Health Care Manag Sci, 2021 Jun;24(2):273-285.
    PMID: 33651316 DOI: 10.1007/s10729-020-09539-9
    Malaysia was faced with a life-threatening crisis in combating COVID-19 with a number of positive cases reaching 5305 and 88 deaths by 18th April 2020 (the first detected case was on 25th January 2020). The government rapidly initiated a public health response and provided adequate medical care to manage the public health crisis during the implementation of movement restrictions, starting 18th March 2020, throughout the country. The objective of this study was to investigate the relative efficiency level of managing COVID-19 in Malaysia using network data envelopment analysis. Malaysia state-level data were extracted from secondary data sources which include variables such as total number of confirmed cases, death cases and recovered cases. These variables were used as inputs and outputs in a network process that consists of 3 sub processes i) community surveillance, ii) medical care I and iii) medical care II. A state-level analysis was performed according to low, medium and high population density categories. The efficiency level of community surveillance was highest compared to medical care processes, indicating that the overall inefficiency is greatly influenced by the inefficiency of the medical care processes rather than the community surveillance process. Results showed that high-density category performed well in both community surveillance and medical care II processes. Meanwhile, low-density category performed better in medical care I process. There was a good overall performance of the health system in Malaysia reflecting a strong preparedness and response level to this pandemic. Furthermore, resource allocation for rapid response was distributed effectively during this challenging period.
    Matched MeSH terms: Databases, Factual
  20. Tan YL, Yiew TH, Habibullah MS, Chen JE, Mat Kamal SN, Saud NA
    Environ Sci Pollut Res Int, 2023 Jan;30(2):2754-2770.
    PMID: 35941500 DOI: 10.1007/s11356-022-22211-9
    Although increased attempts to preserve biodiversity ecosystems have been widely publicized, bibliometric research of biodiversity loss remains limited. Using VOSviewer, we hope to provide a bibliometric assessment of global research trends on biodiversity loss from 1990 to 2021. Document type, language, publication trend, countries, institutions, Author Keywords, and Keywords Plus were all examined. This study recorded a total of 6599 publications from the Web of Science Core Collection database. According to the findings, biodiversity loss research is expected to rise dramatically in the near future. However, the role of social sciences and economics in biodiversity loss studies has received little attention. The USA made the most significant contribution in this field. Biological Conservation was the most productive journal, and Proceedings of the National Academy of Sciences of the United States of America was the most influential journal in biodiversity loss literature. Eisenhauer, N was the most prolific author, and Collen, B was the most referenced. Biodiversity, biodiversity loss mechanisms, biodiversity loss drivers, conservation, and climate change have been the topic of previous research. Possible future research hotspots may include species diversity and many elements of biodiversity. Lastly, the outcomes of this study suggest that existing socio-economic concerns can be integrated into decision-making processes to improve biodiversity conservation.
    Matched MeSH terms: Databases, Factual
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links