OBJECTIVE: This study aims to provide general information on the trends of the studies on JE as well as an overall perspective on the development of this topic by utilising a bibliometric analytic approach.
METHOD: A bibliometric evaluation was conducted in the JE field since the first publication was documented in the Scopus database. The information retrieved examines 1572 JE papers from a variety of perspectives, including citation and publishing metrics.
RESULTS: The research results pinpoint the most productive countries, universities, journals, authors, and JE articles. The study also classified the most important themes and offered some recommendations for further research.
CONCLUSION: The study provided a snapshot of JE patterns and trajectories from 1993 to 2020, which can help academics and practitioners figure out the pattern and direction of future research. To the best of our knowledge, no other study examines the bibliographic data on JE and thus this work is one of the first contributions to the literature.
METHODS: We investigated the existing body of evidence and applied Preferred Reporting Items for Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search records in IEEE, Google scholar, and PubMed databases. We identified 65 papers that were published from 2013 to 2022 and these papers cover 67 different studies. The review process was structured according to the medical data that was used for disease detection. We identified six main categories, namely air flow, genetic, imaging, signals, and miscellaneous. For each of these categories, we report both disease detection methods and their performance.
RESULTS: We found that medical imaging was used in 14 of the reviewed studies as data for automated obstructive airway disease detection. Genetics and physiological signals were used in 13 studies. Medical records and air flow were used in 9 and 7 studies, respectively. Most papers were published in 2020 and we found three times more work on Machine Learning (ML) when compared to Deep Learning (DL). Statistical analysis shows that DL techniques achieve higher Accuracy (ACC) when compared to ML. Convolutional Neural Network (CNN) is the most common DL classifier and Support Vector Machine (SVM) is the most widely used ML classifier. During our review, we discovered only two publicly available asthma and COPD datasets. Most studies used private clinical datasets, so data size and data composition are inconsistent.
CONCLUSIONS: Our review results indicate that Artificial Intelligence (AI) can improve both decision quality and efficiency of health professionals during COPD and asthma diagnosis. However, we found several limitations in this review, such as a lack of dataset consistency, a limited dataset and remote monitoring was not sufficiently explored. We appeal to society to accept and trust computer aided airflow obstructive diseases diagnosis and we encourage health professionals to work closely with AI scientists to promote automated detection in clinical practice and hospital settings.
METHODS: This validation study involves retrospective review of available hospital discharge records and hand-search medical records for years 2010 and 2013. We randomly selected 3219 hospital discharge records coded with dengue and non-dengue infections as their discharge diagnoses from the national hospital discharge database. We then randomly sampled 216 and 144 records for patients with and without codes for dengue respectively, in keeping with their relative frequency in the MOH database, for chart review. The ICD codes for dengue were validated against lab-based diagnostic standard (NS1 or IgM).
RESULTS: The ICD-10-CM codes for dengue had a sensitivity of 94%, modest specificity of 83%, positive predictive value of 87% and negative predictive value 92%. These results were stable between 2010 and 2013. However, its specificity decreased substantially when patients manifested with bleeding or low platelet count.
CONCLUSION: The diagnostic performance of the ICD codes for dengue in the MOH's hospital discharge database is adequate for use in health services research on dengue.
METHODOLOGY: Records of patients diagnosed with tuberculosis from 1st January 2018 to 30th September 2019 were retrieved. Sociodemographic and clinical data were extracted. Treatment outcomes and all-cause mortality were recorded at 1 year after diagnosis. Univariate, multivariate, and stepwise regression were used to determine the factors associated with all-cause mortality.
RESULTS: Four-hundred and seventy-one patients were reviewed. The mean age was 46.6 ± 19.7 years. The all-cause mortality rate at one year of diagnosis was 15.3%. Factors identified were age [aOR 1.026 (95% CI: 1.004-1.049)], chronic kidney disease [aOR 3.269 (1.508-7.088)], HIV positive status [aOR 4.743 (1.505-14.953)], active cancer [aOR 5.758 (1.605-20.652)], liver disease [aOR 6.220 (1.028-37.621)], and moderate to advanced chest X-ray findings [aOR 3.851 (1.033-14.354)].
CONCLUSIONS: On average, one in seven patients diagnosed with TB died within a year in a Malaysian tertiary hospital. Identification of this vulnerable group using the associated factors found in this study may help to reduce the risk of mortality through early intervention strategies.
METHOD: Publications about spastic CP were searched utilizing the Web of Science Core Collection (WoSCC) database from 1 January 2000 to 30 November 2022, the WoSCC literature analysis wire, VOSviewer 1.6.18, CiteSpace 6.1.R4 and Online analysis platform for bibliometrics were used to conduct the analysis.
RESULTS: A total of 3988 publications, consisting of 3699 articles and 289 reviews, were included in our study. The United States emerged as the most productive country, while Kathleen Univ Leuven was the most productive institution. The leading author was Desloovere K. A total of 238 journals contributed to this field, with Developmental medicine and child neurology being the leading journal. Important keywords and keyword clusters included Spastic cerebral palsy, Reliability, and Gross motor function. Keywords identified through burst detection indicated that hotspots in this field were management, randomized controlled trials, and definition.
CONCLUSION: Based on the analysis of bibliometric on spastic CP over the past 20 years, the trends and the knowledge graph of the countries, institutions, authors, references, and the keywords have been identified, providing accurate and expedited insights into critical information and potentially new directions in the study of spastic CP.
OBJECTIVE: The aim is to describe the pattern and demographic features of all suspected child abuse and neglect (SCAN) cases seen in a single tertiary hospital in Malaysia over a period of five years.
METHODS: A retrospective descriptive review of children suspected of maltreatment, aged 0 to 18 years old who presented to the Hospital Serdang (HS), Selangor, Malaysia from January 2014 to December 2018 was done. A list of registered SCAN cases obtained from One Stop Crisis Centre (OSCC) HS census. Clinical information of patients was retrieved from the computerised database.
RESULTS: In all, there were a total of 391 SCAN cases over five years with almost a 3-fold increase in the number of cases from 2014 to 2018. Physical abuse was the most common (55%) seen followed by sexual abuse (34%) and neglect (10%). There were four deaths, all involving infants <1 year old who were physically abused by babysitters. The main perpetrator in sexual abuse were people known to the victim. Ninety-three percent of patients were neglected by their biological parents and more than 2/3rd of neglect cases occurred due to inadequate supervision.
DISCUSSION: Child maltreatment is an inevitable burden to our health system and infants are the most vulnerable group to sustain significant injuries leading to death and disabilities.
DESIGN: A retrospective analysis of STEMI patients from 18 hospitals across Malaysia contributing to the Malaysian National Cardiovascular Database-acute coronary syndrome) registry (NCVD-ACS) year 2006-2013.
PARTICIPANTS: 16 517 patients diagnosed of STEMI from 18 hospitals in Malaysia from the year 2006 to 2013.
PRIMARY OUTCOME MEASURES: In-hospital and 30 day post-discharge mortality.
RESULTS: CS complicates 10.6% of all STEMIs in this study. They had unfavourable premorbid conditions and poor outcomes. The in-hospital mortality rate was 34.1% which translates into a 7.14 times mortality risk increment compared with STEMI without CS. Intravenous thrombolysis remained as the main urgent reperfusion modality. Percutaneous coronary interventions (PCI) in CS conferred a 40% risk reduction over non-invasive therapy but were only done in 33.6% of cases. Age over 65, diabetes mellitus, hypertension, chronic lung and kidney disease conferred higher risk of mortality.
CONCLUSION: Mortality rates of CS complicating STEMI in Malaysia are high. In-hospital PCI confers a 40% mortality risk reduction but the rate of PCI among our patients with CS complicating STEMI is still low. Efforts are being made to increase access to invasive therapy for these patients.
DESIGN: This is a retrospective analysis of women with ST-elevation MI (STEMI) and non-STEMI (NSTEMI) from 18 hospitals across Malaysia using the Malaysian National Cardiovascular Database registry-acute coronary syndrome (NCVD-ACS).
PARTICIPANTS: Women patients diagnosed with acute MI from year 2006 to 2013 were identified and divided into young (age ≤ 45, n=292) and older women (age >45, n=5580).
PRIMARY OUTCOME MEASURE: Comparison of demographics, clinical characteristics and in-hospital management was performed between young and older women. In-hospital and 30-day all-cause mortality were examined.
RESULTS: Young women (mean age 39±4.68) made up 5% of women with MI and were predominantly of Malay ethnicities (53.8%). They have a higher tendency to present as STEMI compared with older women. Young women have significantly higher rates of family history of premature coronary artery disease (CAD) (20.5% vs 7.8% p<0.0001). The prevalence of risk factors, such as hypertension, diabetes and dyslipidaemia was high in both groups. The primary reperfusion strategy was thrombolysis with no significant differences observed in the choice of intervention for both groups. Other than aspirin, rates of prescriptions for evidence-based medications were similar with >80% prescribed statins and aspirin. The all-cause mortality rates of young women were lower for both in-hospital and 30 days, especially in those with STEMI with adjusted mortality ratio to the older group, was 1:9.84.
CONCLUSION: Young women with MI were over-represented by Malays and those with a family history of premature CAD. Preventive measures are needed to reduce cardiovascular risks in young women. Although in-hospital management was similar, short-term mortality outcomes favoured young compared with older women.
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.